The National Student Research Center

E-Journal of Student Research: Multi-Disciplinary

Volume 6, Number 3, March, 1998


The National Student Research Center is dedicated to promoting student research and the use of the scientific method in all subject areas across the curriculum, especially science and math.

For more information contact:

John I. Swang, Ph.D.
Founder/Director
National Student Research Center
2024 Livingston Street
Mandeville, Louisiana 70448
U.S.A.
E-Mail: nsrcmms@communique.net
http://youth.net/nsrc/nsrc.html


TABLE OF CONTENTS

Science:
  1. Testing The Purity Of Bottled Water
  2. Does The Amount Of Air Pressure In A Basketball Affect The Height Of Its Bounce?
  3. How Different Types Of Polluted Water Affect A Grass Seed's Germination And Growth
  4. Planting Depth of Wheat
  5. How Color Affects the Absorption of Heat Radiation
Math:
  1. Is The Formula For Finding the Volume of a Rectangular Prism Always Right?
  2. Does Euler's Formula Work?
  3. Does The Area Of A Rectangle Always Equal Base x Height?
Social Studies:
  1. A Survey About Household Hazardous Wastes And Their Disposal
  2. What Do Students Know And Feel About Cloning And Genetic Engineering?

 

SCIENCE SECTION



Title:  Testing The Purity Of Bottled Water

Student Researcher:  Erin Hodges
School Address:  Grace Baptist Academy
                 7815 Shallowford Rd.
                 Chattanooga, TN 37421
Grade:  8th
Teacher:  Miss Tracy Burns

I.  Statement of Purpose and Hypothesis

I wanted to find out which bottled water company produces the 
purest water.  My first hypothesis stated that Laurel Mountain 
Spring Water will have the least amount of bacteria in it.  My 
second hypothesis stated that Deer Park brand water will have 
the most bacteria in it.  

II.  Methodology

I used the following materials to test my hypothesis: sterilized 
water, bottled water (Aquafina, Laurel Mountain Springs, 
Crystalline Natural Artesian, Deer Park, Evian, and Zephyrhill), 
sterile cotton swabs (one per plate), Petri dishes with agar-
agar in them (two for each water sample), camera (optional), 
incubator, inoculating loop, Bunsen burner, striker, distilled 
water for gram staining, gram staining kit, microscope, and 
microscope slides.

The first step is to let the micro-organisms in the bottled 
water colonize.  That will be done by opening the first bottle 
and pouring some water onto a sterile cotton swab.  While you 
are doing this take care not to let anything touch the rim of 
the bottle or get into the bottled water. Then brush the swab 
over the agar in two petri dishes.  After you have made two 
plates for each bottled water and labeled the plates, put them 
into the incubator set at 37 degrees Celsius.  You also need to 
make two plates for the sterile water that will act as your 
control.  Make sure that you use a different cotton swab for 
each plate.  Incubate all of the samples for 48 hours.  After 
you do this count the number of colonies on each plate.

Now you need to put the colonies on microscope slides.  You do 
this by first cleaning the slides.  Next, you need to place a 
small drop of water onto the slide.  Then you need to sterilize 
the inoculating loop by holding it into the flame of the Bunsen 
burner.  Using the inoculating loop, scrape a small amount of 
bacteria off of a colony on the first plate and smear it onto 
the microscope slide.  Sterilize the inoculating loop after each 
smear.  Only smear one colony of bacteria per microscope slide.  
Repeat this process with every different kind of bacterial 
colony.  Give all the slides that come from the same plate the 
same label.  Do this with every plate.  Then you need to let the 
slides air dry and then heat fix them by running them through 
the Bunsen burner flame about six times.

Now you need to Gram stain the slides in order to tell what type 
of bacteria is on the slide.  Cover the slide with crystal 
violet for 30 seconds.  Wash the slide off with distilled water.  
Next, cover the smear with Gram's iodine for 30 seconds.  Wash 
this off with the alcohol.  Immediately wash the alcohol off 
with distilled water.  Now stain the slide with safranin and 
leave it on there for 30 seconds.  Wash off the safranin with 
distilled water.  Then blot the slide with the paper towels.  
Let dry.  Repeat this process with each slide.

Now you are ready to analyze the slides under the microscope. If 
the slide is purple, it means that it is gram-positive (meaning 
that it retained the crystal violet stain) or if it is pink it 
means that it is gram-negative (meaning that it retained the 
safranin stain).

After you have done all of this you can determine the shape of 
each bacteria present.  There are three basic shapes: cocci, 
bacilli, and spirilla.  Look at each slide under the microscope 
to tell which shape it is.

After all this is finished, you need to analyze the data, accept 
or reject your hypothesis, and apply your findings to the world 
outside of the classroom.

III.  Analysis of Data

My data show that on plate A1 there were no colonies.  Plate A2 
showed no signs of growth and plate B1 had no bacterial colonies 
either.  Plate B2 had one colony that was a deep yellow and 
about the size of a pencil eraser in diameter.  On plate C1, 
there were no colonies.  Plate C2 had seven colonies that were a 
whitish-beige color and the size of the tip of a pencil.  Both 
plates of brand D and E had no bacteria on them. Brand F had 
bacteria on both of its plates with 8 and 14 colonies, 
respectively.  The colonies were a whitish-beige in color.

IV.  Summary and Conclusion

Brand A is Aquafina.  Brand B is Laurel Mountain Springs.  Brand 
C is Crystalline Artesian Water.  Brand D is Deer Park.  Brand E 
is Evian.  Brand F is Zephyrhill.

The findings from this experiment indicated that Brands A, D, 
and E were tied for first place.  Second place was Brand B.  
Third was Brand C.  Fourth place was Brand F.  The reason that 
they were ranked this way was because A, D, and E did not have 
any bacteria on either of their plates.  Brand B, which was 
second, had only an average of .5 colonies per plate.  Brand C 
had an average of 3.5 colonies on its plates.  Brand F had an 
average of 11 colonies on each of its plates.

Based upon my findings, I reject my first hypothesis which 
stated that Laurel Mountain Springs would be the purist.  I also 
reject my second hypothesis which stated that Deer Park would be 
in last place and have the most bacteria.  Laurel Mountain 
Springs ended up being in second place and Deer Park tied for 
first.

I am thinking that brand B and C might have been contaminated 
since only one of their plates had bacteria on it, although the 
type of bacteria was the same as all of the others.  There is 
also the possibility that Brand F was also contaminated.  It 
would be necessary to run additional test to be sure.

If I could go back and change some of the things I might repeat 
my research many times under sterile lab conditions to make sure 
that my findings were not contaminated by other bacteria from 
the experimental environment.

V.  Application

My findings indicate that some bottled water may contain 
bacteria.  It is important for consumers to know the purity of 
their bottled water so that they will not consume any bacteria 
that may be harmful.  My findings also indicate a need for 
government inspection of bottle water just like other food and 
drink products.



TITLE:  Does The Amount Of Air Pressure In A Basketball Affect 
        The Height Of Its Bounce?

STUDENT RESEARCHER:  Eric Fleekop
SCHOOL ADDRESS:  Grant Sawyer Middle School
                 5450 Redwood St.
                 Las Vegas, NV 89118
GRADE:  8
TEACHER:  Mrs. Hazel

I.  Statement of Purpose and Hypothesis:

The purpose of this project is to find if the amount of air 
pressure in a basketball changes the height of its bounces.  How 
high a basketball can bounce is very important when it comes to 
the use of a basketball which is used in the game of basketball.  
The game of basketball would be greatly altered if the 
basketball used in the game bounced too high or too low.  I also 
have a great interest in this project because I play a lot of 
basketball and I am interested in the equipment of basketball.  
My hypothesis states that the amount of air pressure in a 
basketball will affect the height of its bounce.

II.  Methodology:

I used the following materials in my experiment: 1) Two new 
Spalding basketballs. They are N.B.A. official size and weight, 
made of synthetic leather, for indoor and outdoor use, and the 
label on them suggest they be inflated to have air pressure of 7 
- 9 pounds per square inch.  2) One new Huffy 12 inch inflating 
pump with pressure gauge for all inflatable balls.  3) Two 
assistants.  4) Two meter sticks. 

I used the following procedure to test my hypothesis: 1) Inflate 
one basketball so that it has the air pressure in it of 4 pounds 
per square inch.  2) Inflate another basketball so that it has 
the air pressure in it of 9 pounds per square inch.  3) Have 
your assistant drop the basketball with the less air pressure in 
it from 1.3 meters above the ground and have your other 
assistant hold a meter stick next to the ball as it bounces.  4) 
Observe and record the height of the basketball's first, second, 
and third bounce.  5) Repeat steps 3 and 4, but replace the 
basketball that has less air pressure with the basketball that 
has more air pressure.  6) Repeat the entire procedure five more 
times.  7) Compare the heights of the basketball's bounces to 
determine if the amount of air pressure in a basketball affects 
the height of it's bounces. 

III.  Analysis of Data:

The data I collected after repeating the procedure of my 
experiment six times is described below.  The data shows that 
the height of the first bounce of a basketball with four pounds 
per square inch of air pressure averaged 72.6 centimeters.  The 
height of the second bounce of the same ball averaged 45 
centimeters and the third bounce averaged 21.8 centimeters in 
height.  

The data also shows that the height of the first bounce of a 
basketball with nine pounds per square inch of air pressure 
averaged 88.3 centimeters.  The height of the second bounce of 
the same ball averaged 60.8 centimeters and the third bounce 
averaged 32.8 centimeters in height.  

I used metric measurements when I measured the height of the 
bounces, but I was unable to use metric measurements when I 
measured the amount of air pressure in the basketballs.  I could 
not find any air gauges that had metric standards. 

IV.  Summary and Conclusion:

When two balls of equal size and constructed of the same 
material are dropped from a equal height to the same surface 
with the only manipulated variable being the amount of air 
pressure, there is a significant difference in the height of the 
bounces of the two balls. Therefore, after experimentation and 
research I conclude that the air pressure in a basketball is a 
major factor on how high a basketball will bounce.  I learned 
through my research that there is the same gravitational pull on 
both balls as they drop.  A fully inflated ball has less 
available surface coming in contact with the ground and 
therefore it has less gravitational pull on the contact area 
allowing it to bounce higher. The ball with less air pressure 
does have more area coming in contact with the ground and in 
turn it did cause it to bounce at a lesser height.  Although 
there was a degree of human error that could cause some 
inaccuracies in my experiment, I found based on the data from my 
experiment and my research that my hypothesis was correct.  The 
amount of air pressure in a basketball does affect the height of 
it's bounces.  The greater the air pressure, the higher the 
bounce.

V.  Application

I feel this research can be applied to the real world in 
different sports.  Any athlete that play sports which use balls 
that must be inflated could very well use my research to make 
sure their equipment can perform the way it was intended to.  I 
know this project has helped me inflate my basketballs to the 
right extent.



TITLE:  How Different Types Of Polluted Water Affect A Grass 
        Seed's Germination And Growth  

STUDENT RESEARCHER:  Joshua Foster  
SCHOOL:  Mandeville Middle School
         Mandeville, Louisiana
GRADE:  6
TEACHER:  John I. Swang, Ph.D.

I.  STATEMENT OF PURPOSE AND HYPOTHESIS:

I would like to do a scientific research project to find out how 
different types of polluted water affect a bean plant's seed 
germination and growth.  My hypothesis states that the grass 
watered with tap water will grow the tallest.
 
II.  METHODOLOGY:

First, I chose my topic.  Then I wrote my statement of purpose 
and I did a review of literature about water pollution, plants, 
germination, acid rain, soap, phosphate, fertilizer, petroleum, 
salt water, and sewerage.  Next, I developed my hypothesis.
Then I wrote a methodology to test my hypothesis.  Next, I 
gathered my materials needed to conduct the experiment.

Then I obtained the river water sample by gathering 100 
milliliters of water from the polluted Tchefuncte River.  I 
obtained the eutrophicated water sample by mixing 20 grams of 
plant food and 100 milliliters of water.  I obtained the salt 
water sample by mixing 2 tbsp (25 mL) of salt and 100 
milliliters of water.  I obtained the acid water sample by 
mixing 2 tbsp (25 mL) of vinegar and 100 milliliters of water.  
I obtained the oily water sample by mixing 1 tbsp (12.5 mL) of 
motor oil and 100 milliliters of water.  I obtained the soapy 
water sample by mixing 1 tbsp (12.5 mL) of liquid soap and 100 
milliliters of water.

Then I filled seven cups two-thirds full with potting soil and 
planted thirty grass seeds in each cup.  I placed them on a 
sunny windowsill.  I watered the grass seeds in each cup with a 
different water sample: river, acid, salt, oil, tap, 
eutrophicated, and soapy.  I gave each cup of grass seeds 5 
milliters of water each day for two weeks.  I recorded the 
average height of the grass growth each day.

Then I analyzed my data using charts and graphs.  Next, I wrote 
my summary and conclusion where I accepted/rejected my 
hypothesis.  Last, I applied my findings to the world outside 
the classroom.                    

I identified my controlled variables, my manipulated variables, 
and my responding variable.  My controlled variables were the 
kind of grass seeds, the amount of sunlight, the amount of water 
given to the grass seeds, the amount of soil, and the depth of 
planting.  My manipulated variable was the type of water used.  
My responding variable was the height each sample grew.

The materials needed to conduct the experiment were two hundred 
and ten grass seeds, seven eight-ounce cups, potting soil, 
ruler, pencil, data collection form, polluted river water, 5% 
acidity vinegar, fertilizer, salt, oil, soap, and tap water.

III.  ANALYSIS OF DATA:

                    Water Type
___________________________________________________
|       | Tap |Soap |Eutro|Oily |River|Acid |Salt |
|-------|-----|-----|-----|-----|-----|-----|-----|
|Day 1  | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
|Day 2  | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
|Day 3  | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
|Day 4  | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
|Day 5  | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
|Day 6  | 3.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 |   Average
|Day 7  | 4.7 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 |   Height
|Day 8  | 8.8 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 |     In
|Day 9  |11.7 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | Centimeters
|Day 10 |12.7 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 |
|Day 11 |13.5 | 0.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 |
|Day 12 |14.7 | 0.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 |
|Day 13 |16.1 | 0.0 | 0.0 | 5.0 | 0.0 | 0.0 | 0.0 |
|Day 14 |16.1 | 0.0 | 0.0 | 5.0 | 0.0 | 0.0 | 0.0 |
|Sprouts|46.7%|0.0% |0.0% |3.0% |0.0% |0.0% |0.0% |

My data show that the grass seeds watered with soapy water, 
eutrophicated water, polluted river water, acid water, and salt 
water did not germinate.  My data show that fourteen out of 
thirty seeds watered with tap water sprouted and grew to an 
average height of 16.1 cm. by the fourteenth day.  My data show 
that one out of thirty seeds watered with oily water sprouted 
and grew to an average height of 5.2 cm. by the fourteenth day.

IV.  SUMMARY AND CONCLUSION:

My data show that the grass seeds watered with tap water grew 
taller than grass seeds watered with soapy, eutrophicated, oily, 
polluted river, acid, and salt water.  Therefore, I accept my 
hypothesis, which states that the grass watered with tap water 
will grow the tallest.

V.  APPLICATION:

I can apply my findings to the world outside the classroom by 
showing that pollutants such as acid rain, oil, feces, sewage, 
excessive fertilizer, salt, and soap can hamper or prevent plant 
growth from happening.



Title:  Planting Depth of Wheat

Student Researcher:  Amy Houdek
School Address:  Belleville Middle School
                 Belleville, Kansas
Grade:  8
Teacher:  Mrs. Jean Jensby

I.  Statement of Purpose and Hypothesis 

I investigated how planting depth of wheat affects its rate of 
emergence from the soil.  My hypothesis stated that seeds 
planted to a depth of 2 inches will have the quicker emergence.

II.  Methodology

Manipulated variable: different planting depths of seed wheat

Responding variable: seeds that sprouted and came up

Controls: soil, field, variety of wheat, amount of sunshine, 
amount of water or rain, day planted, and number of seeds 
planted in each row

Materials: calendar, Champ seed wheat-medium coleoptile, metric 
ruler, data sheet, my dad's farm field, garden hoe, row markers

Procedure: 

1. Gather materials.
2. Find section out in middle of a field for experiment.
3. Using a garden hoe, make five rows about three feet long.
4. Measure row depths in soil-1 inch through 5 inches with 
ruler.
5. Plant 25 kernels of wheat at each depth, one inch apart.
6. Cover seeds with soil, so the planting area is level.
7. Make row markers. (Wood markers were used.)
8. Observe the emergence of the wheat plants. 
9. Record observations and comments on data sheet.

III.  Analysis of Data 

My data shows that the wheat planted 2 inches deep had the 
quickest emergence.  Five plants came up on day 6.  The 1 and 3 
inch depth plants came up on day 7.  The seeds planted one each 
deep had a better emergence than 3 inches because the 1 inch 
depth had 12 plants emerging compared to the 4 plants in the 3 
inch depth.  In the 4 inch depth. 8 plants emerged on day 8.  
The total plants that grew in the 5 inch depth was only 3.  My 
observations indicated that the deeper seeds had a yellowish 
color as they shot out of the ground.  I believe this happened 
because the plants were in the ground longer and had a harder 
time growing.  This kind of seed has an 80 percent germination 
rate.

IV.  Summary and Conclusion 

I found out that the seeds planted at 2 inches had a quicker 
emergence, therefore my hypothesis was accepted. Of all the 
planting depths tested the 2 inch depth was the best.  The order 
of emergence from fastest to slowest was 2", 1", 3", 4", 5".  
After some of the wheat emerged, grasshoppers chewed off a 
couple of plants; however they re-emerged and grew much like the 
other plants.  The weather was ideal following planting.  We had 
a perfect 0.70 rainfall on the field which had been very dry.  
This created ideal moisture conditions.

V.  Application 

I now understand that it is important for farmers to not cover 
their wheat too deep.  Producers also should look at the yield 
potential of different seed varieties, disease resistance, and 
many other factors; not just the seed depth.  In addition to my 
experiment, I could have tested more varieties, more depths, and 
repeated the procedure again.



TITLE:  How Color Affects the Absorption of Heat Radiation

STUDENT RESEARCHER:  Mika Nagasaki
SCHOOL ADDRESS:  Westminster School
                 3819 Gallows Road
                 Annandale, Virginia 22003
GRADE:  8
TEACHER:  Cynthia Bombino
 
I.  STATEMENT OF PURPOSE AND HYPOTHESIS:

The purpose of this experiment is to find out which colors 
absorb the most heat radiation.  My hypothesis states that the 
black can will absorb more heat radiation than the others.
 
II.  METHODOLOGY:
   
The materials I used to test my hypothesis included: paint 
(black, red, white, blue, yellow), paintbrush, thermometer, 
lamp, 25 mL graduated cylinder, 100 watt light bulb, dropping 
pipette, 6 identical soup cans, and marker.
    
My independent variable was the color of the cans.  My dependent 
variable was the temperature inside each can.  My control 
variables included the size and shape of the unpainted cans, the 
wattage of the heat source, and its distance from the cans. 
    
My procedure included the following steps:  1) Remove the labels 
from the cans.  Paint the outsides and insides of each of the 
cans with each of the colors.  2)  Fill each can with 100 mL of 
water.  3) Adjust the lamp to the desired position.  Mark the 
spot where the light hits the table (where you plan to place the 
can).  Do not change the positions of the lamp or mark.  4) 
Measure the temperature of the water in the can before you place 
it under the lamp.  Record.  5) Place the can on the mark.  Turn 
on the lamp.  Start the stopwatch.  6) Measure and record the 
temperature of the water in the can every 5 minutes for fifteen 
minutes.  7) Repeat steps 4-6 with each can.
   
III.  ANALYSIS OF DATA:

The average temperature change of the water in the control which 
was not painted was 1.5 degrees Celsius.  The average 
temperature change for the yellow can was 2.1 degrees.  The 
average temperature change for the white can was 2.8 degrees.  
The average temperature change for the blue can was 2.8 degrees.  
The average temperature change for the red can was 3.1 degrees.  
The average temperature change for the black can was 4.4 
degrees.
 
IV.  SUMMARY AND CONCLUSION: 

My results supported my hypothesis.  I had expected the black 
can to exhibit warmer temperatures than the rest (which it did); 
however, I did not expected the blue and white cans to have the 
same temperatures as each other. 

A few minor miscalculations may have influenced my results.  
After the first trial, I realized that one side of the can was 
colder than the other side, due to the way I had set up my heat 
lamp.  Shining the light directly above the can may have 
produced more accurate results.  A few times I did not leave the 
thermometer in the cans long enough.  Despite these 
miscalculations, I was able to demonstrate that dark colors 
absorb more heat than light colors.

V.  APPLICATION:

In winter, many people wear dark colored clothing to absorb more 
heat.  In summer, people wear light colored clothing to produce 
the opposite effect.  Houses in warm climates are often 
whitewashed or have light color tones.  Refrigerators and 
freezers should not be black or dark blue.  Likewise, thermoses 
should be dark or light colored depending on their purpose.  
These are all examples of how people use colors to insulate 
things.  


                          MATH SECTION


TITLE:  Is The Formula For Finding the Volume of a Rectangular
        Prism Always Right?  

STUDENT RESEARCHER:  Jack Bell and Adam Osborn 
SCHOOL:  Mandeville Middle School
         Mandeville, Louisiana
GRADE:  6
TEACHER:  John I. Swang, Ph.D.

I.  STATEMENT OF PURPOSE AND HYPOTHESIS:

We would like to do mathematical research project to see if the 
formula of length times width times height always equals the 
volume of a rectangular prism, no matter how large or small the 
prism.  Our hypothesis states that the formula, V=LxWxH, always 
equals the volume of a rectangular prism no matter how large or 
small it is.

II.  METHODOLOGY:

First, we  chose our topic.  Next, we wrote our statement of 
purpose.  Then we reviewed the literature about volume, 
geometry, prism, cube, rectangular prism, mathematics, and 
Archimedes.  After that we developed our hypothesis and wrote 
our methodology to test our hypothesis.  Then we identified our 
variables.  We then gathered our materials.  Next, we found five 
objects of different sizes having the shape of a rectangular 
prism.  Then we used the formula, V=LxWxH, to find the volume of 
the eight objects.  After that we placed them, one at a time, in 
a bucket completely full of water.  The bucket was placed in a 
metal tray.  The water displaced by the rectangular object was 
collected in the tray.  Next, we measured how many milliliters 
of water each object displaced.  This represented the volume of 
the object.  One milliliter was equal to one cubic centimeter.  
Then we recorded the results on our data collection sheet.  Then 
we compared the value for the two ways for computing volume.  
Next we wrote our analysis of data.  Last, we wrote our summary 
and conclusion, and application.

III.  ANALYSIS OF DATA:

Our data show that when we used the formula V=LxWxH to find the 
volume of our first rectangular prism, it was 515 cubic 
centimeters.  When we put our first rectangular prism in the 
water, it displaced 525 milliliters of water, which indicated 
that the volume was 525 cm3.  The difference of 10 cm3 between 
the two volumes is due to measurement error.

Our data show that when we used the formula V=LxWxH to find the 
volume of our second rectangular prism, it was 15 cm3 cubic 
centimeters.  When we put our second rectangular prism in the 
water, it displaced 17 milliliters of water, which indicated 
that the volume was 17 cm3.  The difference of 2 cm3 between the 
two volumes is due to measurement error.

Our data show that when we used the formula V=LxWxH to find the 
volume of our third rectangular prism, it was 929 cubic 
centimeters.  When we put our third rectangular prism in the 
water, it displaced 975 milliliters of water, which indicated 
that the volume was 975 cm3.  The difference of 46 cm3 between 
the two volumes is due to measurement error.
 
Our data show that when we used the formula V=LxWxH to find the 
volume of our fourth rectangular prism, it was 790 cubic 
centimeters.  When we put our fourth rectangular prism in the 
water, it displaced 800 milliliters of water, which indicated 
that the volume was 800 cm3.  The difference of 10 cm3  between 
the two volumes is due to measurement error.

Our data show that when we used the formula V=LxWxH to find the 
volume of our fifth rectangular prism, it was 2072.67 cubic 
centimeters.  When we put our fifth rectangular prism in the 
water, it displaced 2000 milliliters of water, which indicated 
that the volume was 2000 cm3.  The difference of 72.67 cm3 
between the two volumes is due to measurement error.

Our data show that when we used the formula V=LxWxH to find the 
volume of our sixth rectangular prism, it was 848.25 cubic 
centimeters.  When we put our sixth rectangular prism in the 
water, it displaced 900 milliliters of water, which indicated 
that the volume was 900 cm3.  The difference of 51.75 cm3 
between the two volumes is due to measurement error.

Our data show that when we used the formula V=LxWxH to find the 
volume of our seventh rectangular prism, it was 2808 cubic 
centimeters.  When we put our seventh rectangular prism in the 
water, it displaced 2700 milliliters of water, which indicated 
that the volume was 2700 cm3.  The difference of 108 cm3 between 
the two volumes is due to measurement error.

Our data show that when we used the formula V=LxWxH to find the 
volume of our eighth rectangular prism, it was 164.375 cubic 
centimeters.  When we put our fourth rectangular prism in the 
water, it displaced 150 milliliters of water, which indicated 
that the volume was 150 cm3.  The difference of 14.375 cm3 
between the two volumes is due to measurement error.
                                                                       
| Object  | Tested Volume | Calculated Volume | Difference |
| object 1|   525 cm3     |    515 cm3        |  10 cm3    |
| object 2|    17 cm3     |     15 cm3        |   2 cm3    |
| object 3|   975 cm3     |    929 cm3        |  46 cm3    |
| object 4|   800 cm3     |    790 cm3        |  10 cm3    |
| object 5|  2000 cm3     |   2072 cm3        |  72 cm3    |
| object 6|   900 cm3     |    848 cm3        |  51 cm3    |
| object 7|  2700 cm3     |   2808 cm3        | 108 cm3    |
| object 8|   150 cm3     |    164 cm3        |  14 cm3    |
|Average Difference|                          |  39 cm3    |

IV.  SUMMARY AND CONCLUSION:

The average difference between the volume of our rectangular 
prisms when we used the formula, V=LxWxH, and when we used the 
displacement of water was 39.35 cm3.  The difference was due to 
measurement error.

Our data show that the formula V=LxWxH does work.  Therefore, we 
accept our hypothesis which states that the formula, V=LxWxH, 
always equals the volume of a rectangular prism no matter how 
large or small it is.

This research needs to be repeated in such a way as to 
significantly reduce the measurement error.

V.  APPLICATION:

We could apply our findings to the world by telling people that 
V=LxWxH gives you the correct volume for a rectangular prism.  
This could help shipping companies to figure out how much of 
their goods they could fit in the cargo holds of the trucks, 
trains, and ships.



TITLE:  Does Euler's Formula Work?

STUDENT RESEARCHER:  Matt Kubicek and Alex Manuel
SCHOOL:  Mandeville Middle School
         Mandeville, Louisiana
GRADE:  6
TEACHER:  John I. Swang, Ph.D.

I.  STATEMENT OF PURPOSE AND HYPOTHESIS: 

We would like to do a mathematical proof to see if Euler's 
Formula works.  We would like to see if the number of vertices 
plus the number of faces minus 2 always equals the number of 
edges of all polyhedrons.  Our hypothesis states that Euler's 
Formula, (V+F-2=E), works.

II.  METHODOLOGY:

First, we chose our topic.  Next, we wrote our statement of 
purpose.  Then we gathered our information and wrote our review 
of literature on Euler's Formula, Euler, geometry, faces, 
vertices, edges, formulas, and polyhedrons.  Next, we developed 
our hypothesis.

After that, we created our methodology to test our hypothesis.  
Next, we listed all the materials we needed to be able to 
perform our experiment which were a data collection sheet, eight 
different shaped polyhedrons, a pencil, and a sheet of paper.  
Then we took eight different sized and different shaped 
polyhedrons and counted the number of vertices and faces on each 
of them.  We tested Euler's Formula on each polyhedron by adding 
the number of vertices to the number of faces and subtracting 2 
to see if the overall total equaled the number of edges.  We 
then counted the number of edges to see if the formula was 
correct.  Then we recorded the information on our data 
collection sheet.  

After that, we analyzed our data using charts and graphs.  Next, 
we wrote our summary and conclusion.  Finally, we applied our 
findings to the world outside our classroom.

III.  ANALYSIS OF DATA:

We counted 8 edges in polyhedron one which had 5 faces and 5 
vertices.  Using Euler's Formula, V+F-2=E, we calculated that 
polyhedron one had 8 edges.  We counted 16 edges in polyhedron 
two which had 9 faces and 9 vertices.  Using Euler's Formula, 
V+F-2=E, we calculated that polyhedron two had 16 edges.  We 
counted 12 edges in polyhedron three which had 6 faces and 8 
vertices.  Using Euler's Formula, V+F-2=E, we calculated that 
polyhedron three had 12 edges.  We counted 24 edges in 
polyhedron four which had 10 faces and 16 vertices.  Using 
Euler's Formula, V+F-2=E, we calculated that polyhedron four had 
24 edges.  We counted 9 edges in polyhedron five which had 5 
faces and 6 vertices.  Using Euler's Formula, V+F-2=E, we 
calculated that polyhedron five had 9 edges.  We counted 4 edges 
in polyhedron six which had 3 faces and 3 vertices.  Using 
Euler's Formula, V+F-2=E, we calculated that polyhedron six had 
4 edges.  We counted 7 edges in polyhedron seven which had 3 
faces and 6 vertices.  Using Euler's Formula, V+F-2=E, we 
calculated that polyhedron seven had 7 edges.  We counted 11 
edges in polyhedron eight which had 6 faces and 7 vertices.  
Using Euler's Formula, V+F-2=E, we calculated that polyhedron 
eight had 11 edges.  We counted 34 edges in polyhedron nine 
which had 20 faces and 16 vertices.  Using Euler's Formula, V+F-
2=E, we calculated that polyhedron nine had 34 edges.  We 
counted 18 edges in polyhedron ten which had 8 faces and 12 
vertices.  Using Euler's Formula, V+F-2=E, we calculated that 
polyhedron ten had 18 edges.

|Polyhedrons |  EA  |  EF  =   V   +   f   -    2     |

|     1      |   8  |   8  |   5   |   5   |    2     |    
|     2      |  16  |  16  |   9   |   9   |    2     |
|     3      |  12  |  12  |   8   |   6   |    2     |
|     4      |  24  |  24  |  16   |  10   |    2     |
|     5      |   9  |   9  |   6   |   5   |    2     |
|     6      |   4  |   4  |   3   |   3   |    2     |
|     7      |   7  |   7  |   6   |   3   |    2     |
|     8      |  11  |  11  |   7   |   6   |    2     |
|     9      |  34  |  34  |  16   |  20   |    2     |
|     10     |  18  |  18  |  12   |   8   |    2     |

EA = actual edges
EF = edges calculated from formula

IV.  SUMMARY AND CONCLUSION:

Based upon the tests on the ten different polyhedrons, we 
conclude that Euler's Formula accurately predicts the number of 
edges on all polyhedrons.  We accept our hypothesis which stated 
that Euler's Formula, V+F-2=E, would really works.

V.  APPLICATION:

We can apply our findings by using Euler's Formula in math to 
solve mathematics problems that deal with three dimensional 
figures. 



TITLE:   Does The Area Of A Rectangle Always Equal Base x 
         Height?

STUDENT RESEARCHERS:  James Rees and Jane Bordelon
SCHOOL:  Mandeville Middle School
         Mandeville, Louisiana
GRADE:  6
TEACHER:  John I. Swang, Ph.D.

I.  STATEMENT OF PURPOSE AND HYPOTHESIS:

We would like to do a mathematical proof to find out if the 
formula for finding the area of a rectangle, A=bh, is correct.  
Our hypothesis states that the area of a rectangle always equals 
the base of the rectangle times the height of the rectangle.

II.  METHODOLOGY:

First, we chose our topic.  Next, we wrote our statement of 
purpose.  Then we conducted a review of literature about 
mathematics, geometry, base, height, rectangles, and area.  
Next, we wrote our hypothesis.  We then developed a methodology 
to test our hypothesis.  Next, we made a data collection sheet.  
The materials we used to perform the experiment were: six 
different sized rectangles, ruler, and permanent marker.  Then 
we chose one base and one height for each of the six rectangles 
(three for each student researcher), and used the formula, A=bh, 
to figure out the area of the rectangle.  We then drew out each 
rectangle on square centimeter graph paper.  Next, we counted 
the number of square centimeters in each rectangle and compared 
the amount of square centimeters that we counted on graph paper 
to the amount of square centimeters we found when we used the 
formula.  We repeated this process with the five remaining 
rectangles.  Then we recorded our data on our data collection 
form.  Next, we analyzed our data using statistics, charts, and 
graphs.  Then we wrote our summary and conclusion where we 
accepted or rejected our hypothesis.  Finally, we applied our 
findings to the world outside the classroom.

III.  ANALYSIS OF DATA:

              Area of a Rectangle 
                                                                 
|Rectangle | Base  X  Height  =  Area  |  Count     

| #1       |  5    |    8     |  40    |  40        
| #2       |  6    |    9     |  54    |  54        
| #3       |  3    |    7     |  21    |  21        
| #4       |  2    |    5     |  10    |  10        
| #5       |  8    |    3     |  24    |  24        
| #6       |  9    |    4     |  36    |  36        

IX.  ANALYSIS OF DATA:

In rectangle number one, the area derived from the formula was 
40 square centimeters and the actual count was also 40 square 
centimeters.  In rectangle number two, the area derived from the 
formula was 54 square centimeters and the actual count was also 
54 square centimeters.  In rectangle number three, the area 
derived from the formula was 21 square centimeters and the 
actual count was also 21 square centimeters.  In rectangle 
number four, the area derived from the formula was 10 square 
centimeters and the actual count was also 10 square centimeters.  
In rectangle number five, the area derived from the formula was 
24 square centimeters and the actual count was 24 square 
centimeters.  In rectangle number six, the area derived from the 
formula was 36 square centimeters and the actual count was 36 
square centimeters.

IV.  SUMMARY AND CONCLUSION:

Our data showed that the formula, A=bh, will always equal the 
area of a rectangle.  Therefore, we accept out hypothesis which 
states that the area of a rectangle will always equal the base 
of the rectangle times the height of the rectangle.

V.  APPLICATION:

Our findings can be applied to the world outside the classroom 
during math tests or other math-related projects.  We now know 
that the area of a rectangle equals its base times its height.


                      SOCIAL STUDIES SECTION


TITLE:  A Survey About Household Hazardous Wastes And Their
        Disposal

STUDENT RESEARCHERS:  Joshua Foster, Jack Bell, George
                      McPherson, and John Casey

SCHOOL:  Mandeville Middle School
         Mandeville, Louisiana
GRADE:  6
TEACHER:  John I. Swang, Ph.D.

I.  STATEMENT OF PURPOSE AND HYPOTHESIS: 

We would like to do a survey research project on what students 
know and feel about household hazardous waste and its disposal.  
Our hypothesis states that the majority of the responses to the 
factual questions on our questionnaire about household hazardous 
wastes will be correct.

II.  METHODOLOGY:

First, we identified our community problem which was the 
disposal of household hazardous waste.  Then we wrote our 
statement of purpose and conducted a review of the literature 
about household hazardous waste, soap and detergents, toxins, 
recycling, environmental pollution, pesticides, herbicides, 
fungicides, pest and weed control, paint and varnish, 
turpentine, fertilizer, gasoline, environment, and medicine.  We 
also interviewed numerous community officials about the 
recycling and disposing of household hazardous waste (aerosol 
cans, antifreeze, smoke detectors, petroleum based cleaners, 
drain opener, expired prescriptions, furniture and floor polish, 
insecticides, herbicides, pesticides, paints, liquor, mercury, 
motor oil, nail polish and remover, oven cleaner, paint thinner, 
rat poison, rubbing alcohol, shoe polish, kitchen and bathroom 
cleaners, gasoline diesel fuel, kerosene, batteries, swimming 
pool chemicals, brake fluid and/or transmission fluid, bleach, 
ammonia, clothes cleaning materials, wood preservatives, art 
supplies, flea collars, sprays, and/or soap, contact cement, 
fire extinguishers, lighter fluid, moth balls, old propane 
tanks, photographic chemicals, old ammunition, old tires, 
solvents, and asbestos roof shingles or floor tiles).  From our 
review of literature and community interviews we developed our 
hypothesis.

Next, we wrote a methodology to test our hypothesis.  Then we 
developed a questionnaire about household hazardous waste.  The 
questionnaire was given to a random sample of 52 sixth grade 
students in Mandeville, Louisiana, at Mandeville Middle School.  
We also sent this questionnaire out on the Internet to students 
around the world.  When the questionnaires were returned we 
scored them and recorded the responses on a data collection 
sheet.

Then we analyzed our data using simple statistics, charts, and 
graphs.  Next, we wrote our summary and conclusion where we 
accepted/rejected our hypothesis.  Last, we applied our findings 
to our community.

III.  ANALYSIS OF DATA:

Forty-nine students from Mandeville, Louisiana and thirty-two 
from Iowa, Texas, and Massachusetts responded to our survey.  
Students were in grades 3, 5, 6, 11, and 12.  The ten household 
hazardous materials that most respondents have in their homes 
are; in order from most to least, kitchen and bathroom cleaners, 
batteries, art supplies, bleach, paints, nail polish and 
remover, smoke detector, furniture and floor polish, shoe 
polish, and rubbing alcohol.  A majority of 95% of the students 
knew that antifreeze should not be disposed of by pouring it 
down the drain.  A majority of 81% of the students did not know 
that smoke detectors contain radioactive materials.  A majority 
of 97% of the students knew that liquor can be disposed of by 
pouring it down the drain.  A majority of 97% of the students 
did not know that drain opener is explosive.  A majority of 59% 
of the students did not know that furniture and floor polish 
should not be disposed of by throwing it away in the garbage.  A 
majority of 56% of the students knew that smoke detectors should 
not be disposed of by throwing them in the garbage.  A majority 
of 57% of the students knew that 80% of hazardous household 
wastes are disposed of in landfills.  A majority of 56% of the 
students did not know that the average American household 
generates about 15 lbs. of hazardous household wastes each year.  
A majority of 76% of the students did not know that the average 
American home contains about 8 gallons of hazardous liquids.  A 
majority of 51% of the students did not know that only 5% of all 
American households dispose of household hazardous wastes 
properly.  A majority of 62% of the students did not know that 
55% of all household hazardous waste in American is made up of 
house maintenance items.  A majority of 60% of the students did 
not know that 11% of all household hazardous waste in American 
is made up of automotive items.  A majority of 89% of the 
students thought that people who dispose of household hazardous 
waste in an illegal or unecological ways should be fined or 
imprisoned.  A majority of 88% of the students knew that used 
motor oil should not be poured down the sewer.  A majority of 
53% of the students knew that batteries should not be put in the 
garbage.  A majority of 71% of the students knew that one liter 
of used motor oil can contaminate two million liters of drinking 
water.  A majority of 58% of the students knew that the best 
ways to control household hazardous waste is to buy only the 
amount you need, give excess to other people to use, use a 
nonhazardous substitute, and to dispose of them properly or 
recycle them.  A majority of 53% of the students did not have 
the telephone number for the poison control center clearly 
posted at home in case of an emergency.  A majority of 69% of 
the students thought that they know how to properly dispose of 
hazardous household wastes.  A majority of 82% of the students 
know that household hazardous materials include explosive 
materials, corrosive materials, toxic materials, infectious 
materials, and radioactive materials.  A majority of 57% of the 
students know that a legally hazardous household waste is a 
discarded substance who's chemical or biological nature makes it 
potentially dangerous to people.  A majority of 82% of the 
students knew that storing flammable liquids in glass bottles is 
dangerous.  A majority of 56% of the students knew that storing 
bleach and ammonia in glass bottles is not a good idea.  Half of 
the students reported that their community had a household 
hazardous waste disposal or recycling program.  A majority of 
96% of the students knew that improper disposal of household 
hazardous waste can pollute the ground and water.  A majority of 
99% of the students agreed that household hazardous waste should 
be clearly labeled.  All of the students agreed that household 
hazardous wastes should have directions for proper disposal on 
the container.

IV.  SUMMARY AND CONCLUSION:

A majority of students believe that household hazardous waste 
should be disposed of properly and recycled, but half of them 
report no community program for the disposal of or recycling of 
household hazardous waste.  Almost half of the responses to the 
factual questions were inaccurate yet the majority of the 
students thought that they knew how to properly dispose of or 
recycle household hazardous waste.  These findings indicate a 
need for community disposal, recycling, and education programs.  
A majority of 57% of the responses to the factual questions were 
answered correctly on the questionnaire.  Therefore, we accept 
our hypothesis which stated that the majority of the responses 
to the factual questions on our questionnaire will be correct.

V.  APPLICATION:

We can apply our findings to the community by encouraging the 
City Council to develop a community disposal and recycling 
program for household hazardous waste.  We will also design a 
container for people to put their household hazardous waste in 
for collection by the new community program.  Finally, we will 
produce an instructional video that will inform people about 
which household products are hazardous and how to properly 
dispose of or recycle them.



TITLE:   What Do Students Know And Feel About Cloning And
         Genetic Engineering?

STUDENT RESEARCHER:  Matt Kubicek and Jane Bordelon 
SCHOOL:  Mandeville Middle School
         Mandeville, Louisiana
GRADE:  6
TEACHER:  John I. Swang, Ph.D.

I.  STATEMENT OF PURPOSE AND HYPOTHESIS: 

We would like to do a survey research project on what students 
know and feel about cloning and generic engineering.  Our 
hypothesis states that the majority of students will that think 
cloning humans is a good idea.

II.  METHODOLOGY:

First, we chose our topic.  Next, we wrote our statement of 
purpose.  Then we composed our review of literature about 
cloning, genetic engineering, genes, DNA, chromosomes, and 
related ethical issues.  Next, we developed our hypothesis and 
wrote our methodology.  After that we developed our 
questionnaire.  We then sent out our questionnaire about cloning 
over the Internet and to 26 randomly chosen students at 
Mandeville Middle School in Mandeville,  Louisiana.  After the 
questionnaire were returned and scored, we recorded our findings 
on our data collection sheet.  Then we wrote our analysis of 
data using statistics, charts, and graphs.  Next, we wrote our 
summary and conclusion.  Finally, we applied our findings to the 
world outside our classroom.   

III.  ANALYSIS OF DATA:

A majority of 67% of the students we surveyed knew that a sheep 
was the first mammal to be cloned.  A majority of 73% of the 
students did not know that Ian Wilmut cloned the first mammal.  
A majority of 70% did not know a frog was the first animal to be 
cloned.  A majority of 68% did not know that the Scottish 
scientist used 300 embryos to clone Dolly.  A majority of 60% 
did not know that Gene the cow was cloned in Wisconsin.  A 
majority of 84% did not feel that human beings should be cloned.  
A majority of 57% thought that animals should be cloned in order 
to provide higher quality and more plentiful food, medicines, 
and donor organs for human transplants.  A majority of 60% did 
not think that married couples who are unable to have children 
should be able to clone themselves in order to have children.  A 
majority of 77% thought that we should clone endangered species.  
A majority of 61% did not feel that geniuses should be cloned to 
advance science and technology.  A majority of 95% did not feel 
that great world leader should be cloned to make the world a 
better place.  A majority of 96% did not feel that superstar 
athletes should be cloned to improve professional sports.  A 
majority of 81% knew that a clone is a genetically identical 
duplicate of an organism.  A majority of 71% did not know that a 
gene is a unit of inheritance that determines the inheritance of 
a trait or group of traits that one has.  A majority of 67% did 
not know that DNA is a strand of genes.  A majority of 67% did 
not know that a chromosome is a part of DNA and has a tiny, 
thread-like structure.  

A majority of 59% of the responses to the factual questions on 
our questionnaire were incorrect.  

IV.  SUMMARY AND CONCLUSION:

Our summary and conclusion states that out of all the students 
we surveyed, 84% thought that we should definitely not clone 
humans.  The students thought it was a good idea to clone 
animals in order to provide higher and more plentiful food, 
medicine, and donor organs for human transplants.  Therefore, we 
reject our hypothesis which stated that the majority of the 
students would think that cloning humans is a good idea.  A 
majority of 59% of the responses to the factual questions on our 
questionnaire were incorrect which indicates that students don't 
know a great deal about cloning and genetic engineering.    

V.  APPLICATION:

We can apply our findings to the world outside our classroom by 
telling teachers to teach their students about cloning because 
it is a big issue and students need to know more about it.  We 
can also write to the legislative part of the government and 
tell them to make sure that they know what will happen if they 
do clone humans.  We can let them know what we found out in our 
survey about how students feel about cloning and genetic 
engineering.

© 1998 John I. Swang, Ph.D.