The National Student Research Center
E-Journal of Student Research: Science
Volume 3, Number 7, June, 1995


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

THE E-DATABASE OF STUDENT RESEARCH is made possible through grants provided by the United States Department of Education, South Central Bell Telephone, American Petroleum Institute, Intertel Foundation, Springhouse Publishing Corporation, Graham Resources, Inc., Chevron Oil Company, Central Louisiana Electric Company, Louisiana State Department of Education, and National Science Foundation. Mandeville Middle School and the National Student Research Center thank these organizations for their generous support of education.



TABLE OF CONTENT

1.  Comparison of NO3, pH, and Dissolved Oxygen Levels in 3
    Creeks
2.  Does the Amount of Amperes Affect How Quickly a Circuit
    Breaker/Fuse Will React?
3.  The Life of Alkaline Batteries
4.  Does Coil Size Affect Crystal Radio Reception?
5.  The Effect of Food Coloring on Crystal Formation
6.  Gravity and Its Force on Objects of Different Weight
7.  The Lateral Line In Fish
8.  The Effect of Various Lighting on Plants
9.  The Effects of Caffeine on Mealworms
10. Attenuation of a Red LED Light Beam
11. The Effects of Sight and Smell on Taste
12. Weather Project - Meteorology and Climatology


Title:  Comparison of NO3, pH, and Dissolved Oxygen Levels in 3
        Creeks

Student:  Katie Perzel 
School:  Christ the King & St. Thomas the Apostle School
         3210 W. 51st Street
         Minneapolis, MN 55410
Grade:  8
Teacher:  Ms. Cope


I. Statement of Purpose and Hypothesis:

I wanted to find out if the distance of a creek from downtown 
would effect the amount of pollution it had.  Nitrates, pH, and 
dissolved oxygen are three pollutants that can be found in 
water.  My hypothesis stated that the creek that is 6 miles 
from downtown would be the least polluted.

II. Methodology:

The creeks were different distances from downtown Minneapolis.  
My three creeks were: Basset Creek (2 miles from downtown), 
Minnehaha Creek (6 miles from downtown), and Purgatory Creek 
(16 miles from downtown).  I collected my data by taking 16 
water samples that were 2 feet apart from both sides of each 
creek.  Using testing kits, I tested one water sample at a time 
for nitrates, pH, and dissolved oxygen.  After each test, I 
would read and record the information on my data table.

III. Analysis and data:

I did this process for all of my samples. I did this 46 times 
together (for all three creeks).  I observed that there was not 
a big difference among the three creeks in pollutants that they 
had.  They were all somewhat polluted.

IV.  Summary and Conclusion:

Basset Creek (two miles from town) was least polluted in 
nitrates and in dissolved oxygen, but most polluted in pH.  
Minnehaha Creek (six miles from downtown) was least polluted in 
pH, but most polluted in nitrates.  Purgatory Creek (16 miles 
from downtown) was least polluted in pH and dissolved oxygen, 
but most polluted in nitrates.  Therefore, I rejected my 
hypothesis which stated that the creek that is 6 miles from 
downtown would be the least polluted.  

V. Application:

This information could be used if people wanted to know where 
it was safe to swim or drink from creek water.  For example, if 
you wanted to swim in a creek that is close to downtown, you 
could read this information and know that there is a lot of pH 
and dissolved oxygen in it but not a lot of nitrates.



Title:  Does The Amount Of Amperes Affect How Quickly A Circuit
        Breaker/Fuse Will React? 

Student Researcher:  Joe Kaiser 
School:  Christ the King & St. Thomas the Apostle School
         3210 W. 51st Street
         Minneapolis, MN 55410
Grade:  7 
Teacher:   Cece Cope


I. Statement of Purpose and Hypothesis: 

The purpose of this experiment was to see if the amount of 
amperes really did effect the reaction time of a circuit 
breaker/fuse.  My hypothesis stated that the more amperes 
present, the faster the circuit breaker/fuse would react.

II. Methodology: 

There were three levels of amperes used: 15.5, 21, and 21.25.  
The tests were conducted twice at each level of amperes.  Once 
30 minutes had elapsed, I stopped the test.  I used a wrist 
watch that had a stopwatch on it to measure the time before the 
circuit breaker/fuse reacted.

III. Analysis of Data: 

At 15.5 amperes, the fuse, on the 1st trial, took more than 30 
minutes before reacting.  On the 2nd trial, it took more than 
30 minutes.  The average time was more than 30 minutes.  For 
the circuit breaker, on the 1st trial, it took more than 30 
minutes to react.  On the 2nd trial, it took more than 30 
minutes.  The average time was more than 30 minutes. 

On the 1st trial, at 21 amperes, it took more than 30 minutes 
for the fuse to react.  On the 2nd trial, it took more than 30 
minutes.  The average time was more than 30 minutes.   On the 
1st trial for the circuit breaker, at 21 amperes, it took 18 
minutes, 49 seconds for it to react.  On the 2nd trial, it took 
3 minutes, 59 seconds to react.  The average time was 11 
minutes, 24 seconds. 

On the 1st trial, at 21.25 amperes, it took 3 minutes, 13 
seconds for the fuse to react.  On the 2nd trial, it took 2 
minutes, 50 seconds.  The average time was 3 minutes, 1 second.   
On the 1st trial for the circuit breaker, at 21.25 amperes, it 
took 2 minutes, 4 seconds for it to react.  On the 2nd trial, 
it took 1 minutes, 12 seconds to react.  The average time was 1 
minutes, 58 seconds. 

IV. Summary and Conclusion: 

I found that the amount of amperes passing through a 
fuse/circuit breaker was related to how fast the circuit 
breaker reacted.  When I made my graphs, I saw that there was a 
pattern.  The more amperes there were, the less time it took 
for the circuit breaker/fuse to react.

V. Application:

My experiment could help anyone who is building a new house.  
If they wanted to save money and have overloads taken care of 
quickly, they should buy a fuse box or circuit breaker box. 



Title:  The Life of Alkaline Batteries

Student Researcher:  Ben Wagner
School:  Christ the King & St. Thomas the Apostle School
         3210 W. 51st Street
         Minneapolis, MN 55410
Grade: 8
Teacher: Cece Cope


I. Statement of Purpose and Hypothesis: 

What brand of alkaline battery lasts the longest?  I decided to 
do this so I could buy the most reliable and longest lasting 
batteries.  My hypothesis stated that the Duracell battery will 
last the longest of the six I'm testing.

II. Methodology 

The different brands of batteries I used were Duracell, 
Energizer, Panasonic, Radio Shack, Rayovak, and Walgreens.  I 
did 3 trials for each battery, using 3 flashlights to test 
them.  I placed the flashlights facing up toward the ceiling.  
I started timing them and checked them every half hour after 
ten hours.  I recorded the results for each trial on my data 
table.  My manipulated variable was the different brands of 
batteries.  My controlled variables were the amount of time the 
batteries have been in the store, the lightbulb, and the 
different kinds of flashlights.   I controlled the amount of 
time they had been in the store by checking the date on the 
package to make sure the batteries weren't too old.  I 
controlled the light bulb by using a new light bulb in every 
flashlight.  I controlled the flashlight by using all the same 
kinds.

III. Analysis of Data: 

The results of my study were that, on average, Energizer lasted 
longer than any of the other brands.  My hypothesis was 
partially correct.  The Energizer outlasted the Duracell on 
average, but the Duracell was very close in time and was more 
consistent.

IV. Summary and Conclusion: 

My conclusion is that almost always, the bakery that has the 
best chemical reaction lasts longer than the others.  My 
results agree with the tests I have read about, saying 
batteries that have a steady flow of current last longer and 
are a better value.  I rejected my hypothesis that Duracell 
would last the longest.  Some shortcomings of my study were 
that a few bulbs burned out in the flashlights before the 
bakeries were dead.  I had to retest those brands.

V. Application: 

In my review of the literature, I have read about other tests 
which have shown that Duracell lasts the longest.  This 
research will help people pick and choose the best battery.  
This research will help kids especially because they buy so 
many toys which are powered by bakeries.



Title:  Does Coil Size Affect Crystal Radio Reception?

Student:  Nate Simondet
School:  Christ the King & St. Thomas the Apostle School
         3210 W. 51st Street
         Minneapolis, MN 55410
Grade:  7
Teacher:  Mrs. Cope


1. Statement of Purpose and Hypothesis: 

I wanted to know if the size of the coil in a crystal radio 
affects its reception of radio stations .  The coil is an 
instrument used to trap radio waves.  I wanted to know if a 
bigger coil would receive more stations than a smaller coil.  
My hypothesis stated that a crystal radio with a bigger coil 
would receive more stations.

2. Methodology: 

First, I built my control crystal radio using the directions I 
got out of a book.  Then I made my experimental crystal radio 
using the same materials except a bigger coil.  For my control 
radio, I used a film canister to build the coil. For my 
experimental radio, I used a much larger V8 juice can.  When I 
was done with building my radios, I brought them to my room.  I 
hooked them up to an amplifier (one at a time) and I counted 
how many stations each received.  Then I recorded my data.

3. Analysis of Data: 

I tested each radio ten times.  Each time the results were the 
same.  The radio with the film canister as the coil received 
five radio stations.  The radio with the V-8 can as the coil 
received three radio stations.

4. Summary and Conclusion: 

The crystal radio with the smaller coil was able to receive 
more stations than the crystal radio with the bigger coil.  
Therefore, I rejected my hypothesis which stated that a crystal 
radio with a bigger coil would receive more stations.

5. Application: 

I did this project because I like to listen to the radio and I 
like to build things.  I now know that using a larger coil in a 
crystal radio will not necessarily increase its reception.  



Title:  The Effect of Food Coloring on Crystal Formation

Student Researcher:  Max Wasserburger
School:  Christ the King & St. Thomas the Apostle School
         3210 W. 51st Street
         Minneapolis, MN 55410
Grade: 7/8
Teacher:  Mrs. Cope


I.  Statement of Purpose:

The general objective for this experiment was to find out if 
food coloring is added to forming crystals in their earliest 
stage of growth: 1) Will the crystals as they develop begin to 
exhibit any characteristics of this added color.  2) If 
different amounts of food coloring are added, will the crystals 
exhibit a difference in color proportional to the amount? My 
hypothesis was that when food coloring is added to the forming 
crystals the crystals will take on the color of the food 
coloring. This will happen because while the crystals are 
absorbing the water in the petri dish they will absorb the food 
coloring along with it.

II.  Methodology:

First I wrote my statement of purpose, conducted a review of 
the books on crystals, and developed my hypothesis.  I then got 
the chemicals; Epsom salt and sodium silicate, and mixed them 
both with water.  Then I poured the solution into 3 different 
bowls and put one drop of food coloring in one bowl. Three 
drops of food coloring in another and none in the last dish. 
Then I allowed the crystals to grow for a week.  The 
manipulated variables in this experiment were the amount of dye 
in the water.  The controlled variable was the level of each 
chemical in the bowls.

III.  Analysis of Data:

Everyday I observed the growth of the crystals.  I did this for 
a week.  During this period, I observed that the food coloring 
had no effect on the amount of crystal growth, but did have 
some effect on the color of the crystals.

IV.  Summary and Conclusion:

I have concluded from this experiment that my hypothesis was 
essentially correct.  The crystals which had been given the 
food coloring took on the color of the food coloring.  This 
happened because while the crystals were forming and absorbing 
liquid, they absorbed the food coloring with it.  I also 
concluded that the amount of the food coloring added before 
formation of the crystals was not proportional to the color 
difference between the formed crystals.  There was a distinct, 
but not a proportional difference.  I also discovered that the 
food coloring groups of crystals seemed to have, for the most 
part, the same structure shape and size.  The control groups 
appeared to have a slightly different formation design compared 
to their counterparts.

V.  Application:

This project won't save the world, but it's an experiment for 
all ages and can really be enjoyable with a little patience.



Title:  Gravity and Its Force on Objects of Different Weight

Student Researcher:  Mia Keeler
School:  Christ the King & St. Thomas the Apostle School
         3210 W. 51st Street
         Minneapolis, MN 55410
Grade:  8
Teacher:  Ms. Cope


I. Statement of Purpose and Hypothesis 

I wanted to know more about gravity and if its force on 
different weights would cause heavier objects and lighter 
objects to fall the same distance at different speeds.  Gravity 
is the force that pulls every thing to the earth's center.  I 
wanted to find out if a heavy object would fall faster than a 
lighter object or if the fall at the rate.  My hypothesis was 
that the heavier object would fall to the ground faster than 
the lighter object. I thought that the heavier object would 
gain more speed and escalate faster through the air because it 
would have more mass to push down the air.  Even though 
everything I read about gravity said that objects of different 
weight will fall at exactly the same rate, I wanted to find out 
for myself.

II. Methodology

I first choose my topic.  Then, since I did not know very much 
about gravity, I found various types of literature and 
researched it.  I then wrote my research plan and made blank 
data tables.  Next, I found 10 approximately spherical rocks 
that had different weights.  My brother and my dad helped me. 
We were able to use an empty water tower where we could drop 
the rocks about 50 feet.  It was inside so there weren't a lot 
of air currents to effect the results.  My dad dropped the 
rocks one at a time using a trap door that we made.  He would 
put the rocks on the trap door and when he lowered the trap 
door the rock would fall at the same time as a light went on so 
I would know when to start the stop watch.  I stopped the stop 
watch when the rock hit the floor.  My dad dropped each of the 
rocks 5 times.  I recorded all of my data in my data table.  
Then I analyzed the data.

III. Analysis of Data: 

In analyzing my data, I found that my hypothesis was incorrect.  
On average, all of the rocks fell at about the same rate.

IV. Summary and Conclusion:

All of the rocks hit the ground in an average of approximately 
1.5 seconds.  I think that they didn't fall at exactly the same 
rate of speed because of my reaction time in starting and 
stopping the stop watch.  I conclude that objects that are 
different in weight fall at the same speed because gravity 
evens itself out by pulling with more force on the object that 
has more mass and less force on an object with less mass.  For 
example, if you have to pick up something light, you don't have 
to use as much force or energy to pick up something that is 10 
times bigger. 

V.  Application:

This information could help me because I want to be a scientist 
or a doctor when I grow up and I will need to know these 
things.



Title:  The Lateral Line

Student Researcher:  Will Gorilla
School:  Christ the King & St. Thomas the Apostle School
         3210 W. 51st Street
         Minneapolis, MN 55410
Grade:  7
Teacher:  Cece Cope


I.  Statement of Purpose and Hypothesis: 

I wanted to know about the lateral line on fish.  The lateral 
line is a nerve organ that can find live food through pulses in 
the water.  I wanted to know if a predator fish will go after 
and eat a healthy minnow or an injured minnow.  My hypothesis 
stated that a yellow perch will respond more aggressively 
toward an injured minnow when feeding.

II. Methodology: 

First, I got books on the lateral line.  Then I caught a yellow 
perch and used it as the predator fish.  I put him into an 
aquarium and waited a few days until the perch had become 
acclimated.  Then I got some minnows.  I picked two minnows 
that were about the same size.  I did not injure one of the 
minnows.  I cut the top of the other minnow's tail off.  Then, 
at the same time, I let both minnows go in the aquarium and 
observed to see what the perch would do.  I repeated this 
process five times and recorded my data.  I took data on each 
of the five times I did the experiment.

The materials I used in this experiment were: one thirty gallon 
aquarium with gravel on the bottom, ten minnows, and one yellow 
perch.  

III. Analysis of data: 

I dropped the minnow into the aquarium at the same time.  I did 
this five times.  I observed that the perch ate the injured 
minnow first.  The perch did eventually eat the minnow that was 
not injured. 

IV. Summary and Conclusion: 

The perch ate the injured minnow first.  Therefore I accept my 
hypothesis which stated that a yellow perch will respond more 
aggressively toward an injured minnow when feeding.



Title:  The Effect of Various Lighting on Plants

SCHOOL RESEARCHER: Brianna Pitton 
School:  Christ the King & St. Thomas the Apostle School
         3210 W. 51st Street
         Minneapolis, MN 55410
Grade:  7/8
Teacher:  Mrs. Cecelia Cope


I . STATEMENT OF PURPOSE AND HYPOTHESIS:

I wanted to find out more about plant growth under different 
lighting conditions.  I used three kind of light conditions:  
red light, sunshine, and darkness.  My hypothesis stated that 
the plants growing in darkness would grow the tallest plants 
because when plants are in the dark they grow upwards searching 
for the light.  

II. METHODOLOGY: 

I used grass seeds, 15 small pots, 2 boxes of the same height 
and width, 1 red light filter, 1 75 watt bulb, l plant light, 
and potting soil.  I started out with all the materials listed 
above and I spread them onto a clean surface.  Then I took one 
of the boxes and cut a 3 x 3 inch square hole into the top of 
it.  Then I placed the red filter on top of the hole and I 
taped it securely. Then I took the potting soil and distributed 
it evenly to all of the pots and sprinkle a pinch of grass 
seeds on top of each pot's soil.  Then I marked 5 pots with a 
red dot, 5 pots with a yellow dot, and 5 pots with a black dot. 
Then I took the 5 pots marked with the red dot and placed them 
under the box with the red filter.  They received the red 
light.  I placed the pots with the black dot under the box with 
no hole.  The received no light.  I placed the pots with the 
yellow dot by the south window.  They received sunlight.  I 
measured the grass from each pot every third day and record the 
height.  The manipulated variable for this project was the 
different kind of light the plants received. 

III. ANALYSIS OF DATA:

My data shows that in the end, the plants in the sunlight grew 
1.682 cm taller than the plants in the red light and 2.668 cm 
taller than the plants in the darkness.

IV. SUMMARY AND CONCLUSION:

The plants in sunlight grew tallest.  The plants in red light 
out grew the plants in the darkness.  Therefore, I rejected my 
hypothesis which stated that the plants growing in darkness 
would grow the tallest plants because when plants are in the 
dark they grow upwards searching for the light.  

V. APPLICATION:

I learned that if you are a gardener, you should grow your 
plants in the sun because that helps them grow the tallest.  
The plant life in this world would be a lot more beautiful if 
everyone let their plants grow outside where nature intended 
them to be.



Title:  What Effect Do Varying Doses of Caffeine Have on the
        Mealworms Behavior, Food Intake, Weight Loss/Gain, Rate
        of Death, and Rate of Pupation

Student Researcher:  Conrad Engler
School:  Christ the King & St. Thomas the Apostle School
         3210 W. 51st Street
         Minneapolis, MN 55410
Grade:  7
Teacher:  Cecelia Cope


I. Statement of Purpose and Hypothesis:  

From the information collected during my review of the 
literature regarding the effects of caffeine, I predicted the 
following will happen to the mealworm groups receiving the 
varying amounts of caffeine:

High Dose - Mealworms will die in a matter of days for 
following reasons: 
A) Loss of coordination and weight.  B) Accelerated heart rate 
and increased blood pressure.  C) Digestive tract will shut 
down because of caffeine. 

Low Dosage - Will develop some symptoms due to the low dose of 
caffeine: A) Will experience weight loss.  B) Will experience 
balance problems.  
C) Activity level will increase.  D) Won't die. 

No Dose - No mealworms will die. 

II. Methodology:

Prepare 6 cups of chopped oatmeal, fruits and vegetables. For 
Group A, dissolve 3 or 4 Vivarin pills into 4 oz. of water. For 
Group B. blend instant coffee with 4 oz. of water. For Group C 
only 4 oz. of water is needed. Divide the worms into 3 equal 
groups and weigh each larvae. Put Group A with the high dose, 
Group B with the low dose and Group C with the low dose.  If 
any of the mealworms pupate throughout the process give them 
the correct amount of caffeine and repeat procedure.  The 
mealworms were monitored over a 3 week period and were studied 
in the areas of: Behavior, food intake, weight loss/gain, rate 
of death and rate of pupation. After the 3 week experiment the 
adults were separated from the rest and monitored for 5 days in 
the same categories.  

III. Analysis of Data:

Throughout the project notes were taken down about how the 
caffeine effected the various groups. Results show that if an 
animal with a simple body structure, like the mealworm for 
example, is fed a high dose of caffeine its systems will shut 
down and it will die in a matter of days.  If a mealworm is fed 
a low dose of caffeine, there is a chance it will die, but from 
the information gathered the chances are that it will survive.  
And finally, if a mealworm is fed no caffeine, nothing unusual 
will occur in the behavior of these mealworms.  

IV. Summary and Conclusion:

Here is an example of how my conclusions were made.  In the 
area of death rate, Group A, the high dosage group, had the 
most deaths occur over the 3 week experiment and this could be 
related to the fact that they digested something so abnormal to 
them that their system couldn't handle it.  Therefore,  I 
accepted my first hypothesis.  Group B was second in most 
occurring deaths probably because they didn't digest as much 
caffeine as the first group, but they still had some caffeine 
in their diet.  I rejected my second hypothesis because some 
mealworms did die.  No mealworms died in the caffeine free 
group.  Therefore, I accepted my third hypothesis.

V. Application: 

This project has taught me much more than just how much 
caffeine a mealworm can handle before it dies.  It has taught 
me about how much pop I should be drinking or how much coffee 
should my parents should drink.  I think the findings made in 
this project can really tell people just how much caffeine is 
enough.



Title:  Attenuation Of A Red LED Light Beam.

Student Researcher:  Jessica Stripsky 
School:  Christ the King & St. Thomas the Apostle School
         3210 W. 51st Street
         Minneapolis, MN 55410
Grade:  8 
Teacher:  Cecelia Cope


I. Statement of Purpose and Hypothesis:

In my project, I wanted to find out how much light attenuation 
would occur when I put different colored filters into a red LED 
light beam.  This means that in my project, I put different 
colored filters into a red Light Emitting Diode beam and 
measured the attenuation or how much the light was cut down.  I 
used 5 colored filters which consisted of: yellow, red, blue, 
cyan, and green.  My hypothesis stated that the most 
attenuation would occur when the red filter was placed into the 
beam of light.  I thought that the red light would be absorbed 
by the filter so that little of light would go through.

II. Methodology:

First, I stated my purpose.  Then I did library research on 
fiber optics, light, and filters.  Next, I developed my 
hypothesis.  Then my dad and I designed the circuit board for 
the LED transmitter/receiver.  Electronic parts were sodered 
onto a printed circuit board.  Then a lens was placed in front 
of the LED transmitter to collimate the incoming beam.  All of 
this was mounted on a wooden frame to keep the transmitter and 
receiver in line with each other.  Then I set up all of the 
equipment needed which consisted of: 1 oscilloscope (to view to 
incoming light wave), 5 colored filters, 1 voltmeter, 1 light 
source, and 1 optical receiver.  Next, I made sure it was 
running correctly and that it would pass sound over the beam of 
light by modulating it.  Then I measured the electrical signal 
coming from the optical receiver.  After that I inserted the 
different colored filters one by one into the beam of light and 
measured the electrical output from the optical receiver.  Then 
I recorded my observations on my data collection sheet.  

III. Analysis of data:

When I inserted the 5 different colored filters I observed that 
less light was able to go through with every filter.

IV. Summary and Conclusion:

After taking the measurements, I rejected my hypothesis because 
the red filter let more of the LED's red light through.  I 
found out when you are looking at a filter it appears to be a 
certain color because that colored light is being let through.  
The yellow filter let through the most light.  It did this  
because the color yellow is so close to a neutral color that it 
lets almost any color light through.  The cyan, blue, and green 
filters let through little light because red and blue are on 
the opposite sides of the color spectrum.

V. Application:

I can apply this to life because people might want to run 
similar tests for fiber optics where they need to send 
information on a colored light beam over fiber optic cables and 
they don't want their information to attenuate.  



Title:  The Effect of Sight and Smell on Taste

Student Researcher:  Becky Sullivan
School:  Christ the King & St. Thomas the Apostle School
         3210 W. 51st Street
         Minneapolis, MN 55410
Grade:  7
Teacher:  Mrs. Cope


I. Statement of Purpose and Hypothesis: 

The purpose of this research project was to determine if a 
person's sense of sight and smell effects their ability to 
distinguish taste among brands of pop.  My hypothesis stated 
that the senses of sight and smell would help the subject's 
ability to distinguish taste among brands of pop. 

II. Methodology:

Materials:

Five two liter bottles of pop. 
One each: Coke, Dr. Pepper, Pepsi, 7-Up and Sprite
1 package of small Dixie cups	
1 blindfold
1 - two quart pitcher of water	
1 clothespin

Procedure :

1. Measure and mark small Dixie cups at 1/4 cup.  

2. Fill five cups up to mark with one of each type of pop.  
Label each cup A - E (depending on type of pop).  Fill five 
cups with 1/4 cup water for subject to drink in between drinks 
of pop.  

3. Seat and blindfold person being tested.  

4. Tell the person being tested, "You are being tested on your 
ability to distinguish between pop brands.  There are five 
sample cups of pop on the table.  Three are dark and two are 
clear.  They contain: Coke, Dr. Pepper, Pepsi, 7-Up, and 
Sprite.  They are labeled A - E."  Hand cup A to subject and 
say, "Please drink all of cup A's contents and tell me what 
type of pop it is."  After naming pop, subject is given a small 
amount of water in a cup. Then say, "Please take a drink of 
water and swish it through your mouth to cleanse your taste 
buds.  You may then swallow the water." 

5. Repeat step 4 for cups B through E. Record subject's name 
and answer. 

6. Place clothes pin on subjects nose without removing the 
blindfold. 

7. Repeat steps 4. 

8. Remove blindfold and clothes pin from subject and repeat 
steps 4.

Each subject sat down and was told the procedure.  Then I 
blindfolded them and handed them the different kinds of pop.  
They would then tell me what kind of pop they thought it was.  
I recorded weather they got it right or not.  This procedure 
was then repeated with a blindfold and a nose plug, and open 
senses.

Variables: 

Variables that effect the experiment are the senses of smell, 
taste, and sight.  The variable of sight is controlled for by 
not introducing the subject to any of the experimental 
procedures until after they are seated and blindfolded.  The 
variable of smell is controlled for by not having open pop 
bottles in the testing area.  The variable of taste is 
controlled for by having the subject rinse his/her mouth after 
each test.

III. Analysis of Data:

Correct identification of brands of pop was greatest when both 
sight and smell assisted the sense of taste.  However, the 
addition of sight to the senses of smell and taste had only 
slight significance in the subjects ability to identify the 
brand of pop correctly.   


IV. Summary and Conclusion: 

My hypothesis was supported by the data I collected.    
Therefore, I accepted my hypothesis which stated that the 
senses of sight and smell would help the subject's ability to 
distinguish taste among brands of pop.  Although the sense of 
smell was not isolated in this research for it's ability to 
assist the sense of taste, literature and my research's 
findings seem to indicate that the sense of smell is the 
primary assistant to the sense of taste.

V. Application:

One way this research applies to the world is in the 
advertising field.   Sight and smell affect the sense of taste 
so greatly that instead of just saying how good a product 
tastes, advertisements should add how good it smells or looks.



Title:  Weather Project - Meteorology and Climatology

Student Researchers:  David Butts
School:  Christ the King & St. Thomas the Apostle School
         3210 W. 51st Street
         Minneapolis, MN 55410
Grade:  7/8
Teacher:  Ms. Cope


Statement of Purpose and Hypothesis: 

I wanted to find out if it is possible to make accurate weather 
forecasts using simple purchased weather instruments and home-
made instruments.  My hypothesis stated that I would be able to 
make semi-accurate weather forecasts with simple weather 
instruments that I purchased and made at home.

Methodology: 

Each day, I took three weather readings (sometimes schedule 
interferences made it so I missed a reading).  I used a home-
made barometer, sling psychrometer, anemometer, and a rain 
gauge.  I also looked at cloud formations.  I used all this 
data each night in my weather forecasts.  The next day I would 
check the weather and see if my forecast was correct.  I listed 
the accuracy of my forecasts under three categories: accurate, 
semi-accurate, and inaccurate.

Analysis of Data: 

The data I collected was put into graphs.  The graphs showed 
the weather patterns over a two month period taken by each 
instruments.  The graphs showed how many of my forecasts were 
accurate, semi-accurate, and inaccurate.  I found out that my 
forecasts were usually accurate.  There were some that were 
semi-accurate and some that were completely off.   

Summary and Conclusion: 

My analysis shows that with accurate readings you can make 
accurate weather forecasts.  I accepted my hypothesis which 
stated that I would be able to make semi-accurate weather 
forecasts with simple weather instruments that I purchased and 
made at home.  Some limitations in my study were the facts that 
schedule interferences did occur and that I didn't have 
professional instruments.

Application: 

My findings can be useful in the world to people who want to 
know what the weather will be like from day to day.  If you 
take a small amount of time each day to make a weather reading, 
you can predict the weather for the day.

© 1995 John I. Swang, Ph.D.