The National Student Research Center
E-Journal of Student Research: Multi-Disciplinary
Volume 3, Number 6, May, 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. The E-Journal of Student Research is published quarterly.

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.  Does Temperature Affect the Viscosity Of a Liquid? 
2.  The Effect of Oil Spills on Clams
3.  Does Learning Mode Affect Memory?
4.  The Effect of Music on a Subject's Heart Rate

Math:

1.  Does The Size Of A Circle Affect The Value Of Pi?
2.  Is Euler's Formula Accurate?



SCIENCE SECTION



TITLE:  Does Temperature Affect the Viscosity Of a Liquid? 

STUDENT RESEARCHER:  Amanda Senules
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 determine 
if temperature affects the viscosity of a liquid.  Viscosity is 
the measurement of how easily a liquid flows.  A liquid is a 
state of matter which it is more dense than a gas and less 
dense than a solid.  My hypothesis states that all of the 
liquids I test will have a lower viscosity when hot.
  
II.  METHODOLOGY:

First, I wrote my statement of purpose and did a review of 
literature on fluidity, viscosity, and density.  Next, I 
developed my hypothesis.  After that I developed my methodology 
to test my hypothesis.  Next, I gathered a funnel, a stop 
watch, a measuring cup, a Celsius thermometer, milk, water, 
syrup, and olive oil to use in my experiment.  Next, I plugged 
up the small end of the funnel with my finger and fill it with 
240 mL of hot (70 degrees Celsius) water.  I then removed my 
finger and let it flow freely out of the funnel into the 
measuring cup.  The funnel held straight upright the whole 
time.  I timed how long it took for the funnel to empty.  I 
started timing the moment the water first came out and stopped 
when the funnel was empty.  I did this three times and then 
averaged the times required to pour out 240 mL of hot water.  I 
also did this with 240 mL of cold (30 degrees Celsius) water.  
Then I repeated the entire process with milk, syrup, and olive 
oil.  Each liquid was heated to 70 degrees Celsius and cooled 
to 30 degrees Celsius.

My variables held constant were the size of the funnel, the 
angle I held the funnel at, the amount of liquid in the funnel 
before I started pouring, the temperature of all of the hot 
liquids, and the temperature of all of the cold liquids.

My manipulated variables were the different liquids and the 
temperatures of the liquids.

My responding variable was the amount of time it took to pour 
240 mL of each liquid.

After the experiment, I conducted my analysis of data, wrote my 
summary and conclusion, and applied my finding to everyday 
life.  Finally, I published my abstract in The Student 
Researcher Journal.  

III.  ANALYSIS OF DATA:

After my experiment, I found that the average time it took to 
pour 240 mL of hot water was 2.65 seconds.  The average time 
for cold water was 2.73 seconds.

With hot milk, the average time to pour 240 mL was 2.63 
seconds.  With cold milk, the time was 2.64 seconds.

With hot syrup, the average time to pour 240 mL was 4.35 
seconds.  With cold syrup, it was 11.03 seconds.

With hot olive oil, the average time to pour 240 mL was 2.86 
seconds.  With cold olive oil, it was 3.13 seconds.

IV.  SUMMARY AND CONCLUSION:

In conclusion, all four of the liquids I used, milk, water, 
syrup, and olive oil, had a higher viscosity when cold and 
poured at a slower rate.  Therefore, I accept my hypothesis 
which stated that the liquids would have a higher viscosity 
when cold.

V.  APPLICATION:

I can apply my findings to every day life by heating up liquids 
if I want them to pour quicker.


TITLE:  The Effect of Oil Spills on Clams

STUDENT RESEARCHER:  Kelly Kirkland
SCHOOL:  Cardinal OÕHara High School
         Springfield, PA
GRADE:  11
TEACHER:  Kay Lansing


I.  STATEMENT OF PURPOSE AND HYPOTHESIS:
	
In this project I wand to find out how oil spills affect clams.  
My hypothesis is that oil will affect the physical conditions 
of clams.

II.  METHODOLOGY:
	
The following materials are needed to do this experiment: two 
ten gallon fish tanks labeled A and B, sand, ocean water, 
seaweed, two dozen clams, and crude oil.			

Directions:
		
1. Create ocean-like environments  by putting 8 cm. of sand, 
five gallons of ocean water, seaweed, and twelve clams in each 
tank.
2.  Take an extra clam and open it up and observe.
3.  Observe daily the number of clams that remain above the 
sand, the number of clams that burrowed halfway under the sand, 
and the number of clam that completely burrowed under the sand. 
This shows the clamsÕ activity.
4.  On day 4 add 25 drops of oil to tank A.
5.  On day 5 add another 25 drops of oil to tank A.
6.  On day 6 add another 25 drops of oil to tank A.
7.  On day 13 take one clam from each tank, cut each open and 
note any changes in them.
8.  On day 14 add one hundred and fifty more drops of oil to 
tank A.
9.  On day 19 take another clam from each tank and repeat the 
same procedure as day 13.
10.  On the final day, day 21, remove all the clams from both 
tanks and see if any of them have died.  When the clams are 
alive they are very tight and 	hard to open.

III.  ANALYSIS OF DATA:	

Tank A which was polluted with oil had may physical changes.  
The clamsÕ movements were slowed down, their shells turned dark 
black, and they had oil soots on them.  Looking at a graph of 
the mobility of the clams in tank A and tank B, I could see a 
significant difference.  Tank BÕs graph fluctuated, thus 
showing the clams had much more activity in tank B than in tank 
A.  None of the clams died in either tank. 
	 
IV.  SUMMARY AND CONCLUSION:

In doing this experiment, I found that oil spills will affect 
clamsÕ mobility and color, but will not kill them.  I accept my 
hypothesis because oil in the water does change the clams' 
physical conditions.  Another factor I could have considered in 
doing this experiment would be weight change in the clams.
	
V. APPLICATION:

I plan to write to oil companies to find out exactly how they 
ship oil and what precautions they take to avoid oil spills.  
Hopefully they will take my letter to mean that there are 
people who care what happens after oil spills and they will be 
more careful when shipping oil.



TITLE:  Does Learning Mode Affect Memory?

STUDENT RESEARCHERS:  Dr. Cole's 2nd Period Class
SCHOOL:  Martin Luther King Lab School
         2424 Lake Street
         Evanston, Illinois, 60201
GRADE:  7 and 8
TEACHER:  Charles Cole


I. Statement of Purpose and Hypothesis:

In the October 7th, 1994 issue of Science News, an article 
appeared telling of Dr. Tim Tulley's research on memory in 
fruit flies at the Cold Spring Harbor Laboratory in New York 
(originally published in the October 8 issues of Cell). The 
article said that long term recall only occurs when learning 
happens in short stretches of time with rests in between.  Long 
term recall did not occur when learning happened in one 
stretch.  We wondered if human subjects would respond the same 
way.  Would humans learn better from having everything thrown 
at them all at once, what we called block learning, or if they 
were given information with rest periods in between - interval 
learning?  The hypothesis of most of the students in the class 
was that long term memory would be better in people who had 
received interval learning.

II. Methodology:
    
We began by sending out requests for volunteers for our 
experiment.  We wanted 36 ten year old students, half boys, and 
half girls.  With fewer than 36 volunteers, we narrowed it down 
to 32 subjects.  We divided them into two even groups, 7 boys 
and 9 girls in each group.  Group A got the block training, and 
group B got the interval training.  We scheduled a separate 
learning session for each group and three follow up assessment 
sessions with each group.  When the subjects arrived they found 
their names on manila folders at individual desks.  The 
students were told to sit at the table with their names.  A 
tape recorded set of instructions was played directing the 
subjects to look at the screen and then try to write down the 
numbers as best as they could.  Once the tape had finished, the 
overhead projector was turned on.  It projected a copy of 16 
randomly generated numerals in four rows of four onto a screen 
in the front of the room.  During the original block training 
session for group A (session A1) it was left on for 180 seconds 
and then turned off.  For the interval training group, (session 
B1) it was kept on the screen for six 30 second stretches, 
divided by five 15 second intervals during which the overhead 
was turned off, and the screen was blank.  After the 180 
seconds of viewing time had finished for both groups, the 
lights were turned on.  In the folders were a pencil and a 
blank piece of paper with four lines on it, indicating where 
the students should record their answers.  They were asked to 
return for three assessment sessions (A2 - A4 and B2 - B4) in 
which recorded directions told them to open their folders and 
record as best they could the original numbers.
   
Our independent variable was the learning mode and our 
dependent variable was the number of correct responses compared 
to the number of originally learned numerals.   We attempted to 
control the location, directions, lighting, seating 
arrangement, task, time of day, age and sex of the subjects.

III.  Analysis of Data:

A reduction of the data from all sessions leads to the 
following table, which shows how many numbers the group 
recalled at each session, on average.
  			
			Averages numbers recalled at each session

Session                  1         2         3         4
        
Group A  (block)        12.7      12.1      12.1      11.1	
						
Group B  (interval)     12.1      12.4      10.6       9.2	
						
The numbers above indicate the average number of numerals that 
they originally remembered right after the learning session 
(session 1) and the average number of numerals they remembered 
in the follow-up sessions.  The data appear to indicate that 
interval learning may lead to better recall in the short term, 
but that block learning leads to better recall over the long 
term.  Although we did not use the variable of sex in our 
primary research question, we are intrigued by the fact that of 
times that a student remembered all 16 numbers at any of the 
trials, 33 out of 37 times, it was a girl.

IV.  Summary and Conclusion:

Most of the researchers in this class must tentatively reject 
their original hypotheses that interval learning would result 
in better long term memory.  However, several factors cause us 
to question our results.  The most important variable that was 
not controlled was the fact that (we suspect) many of the 
subjects did discuss the experiment with each other outside of 
our classroom, even though we told them not to.  This may 
explain why some subjects reported remembering only 9 numbers 
right after the screening but then "remembered" 12 numbers the 
next day.  We also believe our results, while interesting, do 
not tell us enough since our sample size is so small.  We 
believe that using many more subjects would give us a better 
picture of the differences that might exist.  Another problem 
was that some subjects did not show up for every session, and 
that made data analysis difficult.  Also, we think that since 
boys mature physically at a different rate than girls, usually 
slower, that using boys and girls of the same age brings us 
subjects (boys) who are somewhat behind the other subjects 
(girls) in development of their brains, and that may explain 
the difference in the performances of boys and girls.  But, we 
do not know for sure, and suggest that further experiments be 
done with groups of all girls or all boys, or with groups that 
have the exact same number of girls and boys in the groups.

V.  Application:

If our results truly reflect the way people learn, then this 
could change the way children are taught in school.  It could 
change the educational system dramatically.   It may also teach 
us something about the age-old tradition of cramming for exams.  
Should we study differently if we wanted to remember the 
information longer?



TITLE:  The Effect of Music on a Subject's Heart Rate

STUDENT RESEARCHER:  Jonathan Landry
SCHOOL:  Mandeville Middle School
         Mandeville, Louisiana
GRADE:  6
TEACHER:  Ellen Marino, M.Ed.



I.  STATEMENT OF PURPOSE AND HYPOTHESIS:
	
I wanted to do a scientific research project to determine if 
music would affect a subject's heart rate.  My hypothesis 
stated that  "Heavy Metal" music will increase the pulse rate 
while "Classical" music will decrease the pulse rate when both 
are listened to at the same volume.

II.  METHODOLOGY:

First, I stated my purpose and did a review of literature.  
Next, I developed my hypothesis.  Following that, I gathered 
all my materials needed to test my hypothesis.  To begin my 
experiment, I selected three people who were willing to help.  
I recorded the pulse rate for each subject before listening to 
any music.  Then each of these three people were asked to 
listen to four types of music for a two minute period each.  
For each subject the same song was played at the same exact 
volume.  I then recorded the pulse rate for each subject 
following each two minute period for all four types of music on 
my data collection form.  Next, I analyzed my data from the 
data collection sheet and wrote a summary and conclusion.  
Following that, I wrote my application and published my whole 
report.
  
III.  ANALYSIS OF DATA:

Subject 1 had a resting pulse of 96.  After listening to "Heavy 
Metal" music subject 1 had a pulse of 102 which was an increase 
of 6.  After listening to "Rock n' Roll", subject 1 had the 
same pulse as their resting pulse rate.  After listening to 
"Country and Western", subject 1 had a pulse rate of 90, a 
decrease of 6.  After listening to "Classical", subject 1 had a 
pulse rate of 84, a decrease of 12. 

Subject 2 had a resting pulse rate of 84.  After listening to 
"Heavy Metal", subject 2 had a pulse of 90, an increase of 6.  
After listening to "Rock n' Roll", subject 2 had a pulse of 90 
also an increase of 6.  After listening to "Country and 
Western", subject 2 had a pulse of 78, a decrease of 6.  After 
listening to "Classical", subject 2 had a pulse of 78, a 
decrease of 6. 

Subject 3 had a resting pulse rate of 84.  After listening to 
"Heavy Metal", subject 3 had a pulse of 96, a increase of 12.  
After listening to "Rock n' Roll", subject 3 had a pulse of 90, 
an increase of 6.  After listening to "Country and Western", 
subject 3 had the same pulse as their resting pulse rate.  
After listening to "Classical", subject 3 had a pulse of 78, a 
decrease of 6.

IV.  SUMMARY AND CONCLUSION:

Heavy Metal increased the subjects' pulse rate an average of 8 
beats per minute.  Rock n' Roll increased the pulse rate an 
average of 4 beats per minute.  Country and Western decreased 
the pulse rate an average of 6.7 beats per minute.  Classical 
decreased a pulse rate an average of 13.3 beats per minute. 
Therefore I accept my hypothesis which stated that "Heavy 
Metal"would increase the pulse rate while "Classical" music 
would decrease the pulse rate when both were listened to at the 
same volume.

V.  APPLICATION:

Now that I have all my information, I can apply it to the real 
world outside the classroom.  I can play Classical music to 
help me go to sleep because it will slow down my pulse rate.


Math Section


TITLE:  Does The Size Of A Circle Affect The Value Of Pi?

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


I.  STATEMENT OF PURPOSE AND HYPOTHESIS:

I am doing a mathematical research project to see if the Pi is 
affected by the size of a circle.  Pi is the ratio of the 
circumference of a circle to its diameter.  Pi is always equal 
to 3.14.  My null hypothesis states that the value of Pi will 
not be affected by the size of the circle.

II.  METHODOLOGY:

First, I wrote my statement of purpose and did my review of the 
literature on Pi, circumference, diameter, and circles.  Then I 
developed my hypothesis.  Then I wrote the following 
methodology to test my hypothesis.  

First, I gathered my materials, which included ten circular 
objects of different sizes, paper, pencil, ruler, calculator, 
and data collection form.  Then I took one of my circular 
objects and made a mark on the edge.  I placed the mark on a 
piece of paper and marked where the mark, on the circular 
objects, was on the paper.  I carefully rolled the circular 
object on the paper until the marked point touched the paper 
again. I marked this spot on the paper.   Then I measured the 
distance between the two marks on the paper to find the 
circumference of the circular object.  Next, I measured the 
width of the circular object to find the diameter.  Then I 
divided the circumference by the diameter to compute the value 
for Pi.  I recorded my data on my data collection form.  I 
repeated this process with all of my circular objects.  Next, I 
listed my variables as shown below. 

My variable held constant is the formula for Pi.  My 
manipulated variable is the size of the circular objects.  My 
responding variable is the value of Pi for the circles.

Then I analyzed my data using the information on my data 
collection form.  Next, I wrote my summary and conclusion where 
I accepted or rejected my hypothesis.  Then I applied my 
findings to everyday life.  Finally, I published my findings in 
The Student Researcher.

III.  ANALYSIS OF DATA:

I found that two out of the ten circular objects I used for my 
experiment had a Pi value of 3.14.  Two of the circular objects 
had a Pi value above 3.14.  Six circular objects had a Pi value 
below 3.14.  My average Pi value was 3.06.  These differences 
were due to the fact that my instrument of measurement was not 
accurate enough to find the true Pi value of 3.14.

IV.  SUMMARY AND CONCLUSION:

After I analyzed mt data, I found out with my instrument of 
measurement that the majority of the circular objects had a Pi 
value below 3.14.  Two out of my ten circular objects had a Pi 
value of 3.14.  Two of the ten circular objects had a Pi value 
above 3.14.  I therefore, accept my hypothesis which stated 
that the size of the circles would not affect the value of Pi.  
If my instrument measurement had been more accurate the value 
of Pi for the circular objects would have always been 3.14.  
This research should be repeated and more exact measurements 
should be taken to ensure that an accurate value of Pi is 
computed.

V.  APPLICATION:

I can apply my findings to everyday life by telling teachers 
and students that Pi always equals 3.14 if you use the right 
instruments that allow you to accurately measure a circular 
object's circumference and diameter.



TITLE:  Is Euler's Formula Accurate?

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



I.  STATEMENT OF PURPOSE AND HYPOTHESIS:

I would like to conduct a research project to see if Euler's 
formula is correct.  Euler's formula is a mathematical formula 
that states that the number of edges on a polyhedron is equal 
to the number of faces plus the number of vertices minus two 
(E=F+V-2).  My hypothesis states that Euler's formula will be 
accurate with all of the polyhedrons that I test.

II.  METHODOLOGY:

First, I wrote my statement of purpose and hypothesis.  Then I 
conducted a review of literature on Leonard Euler, Euler's 
formula, and polyhedrons.

The manipulated variables in my experiment were the number of 
faces, vertices, and edges on the different polyhedrons I 
gathered.  The responding variables in my experiment were the 
answer to Euler's formula generated.  The variables held 
constant were Euler's formula.

I gathered 10 different polyhedrons.  The I counted the number 
of edges, vertices, and faces and then recorded them on my data 
collection sheet.  Then I used Euler's formula to compute the 
number of edges.  Then I compared the number of edges I counted 
and the number I computed with Euler's fomula.  Then I wrote my 
summary and conclusion where I accepted or rejected my 
hypothesis.  Then I applied my findings and published my 
research.

III.  ANALYSIS OF DATA:

For polyhedron  1, E=F+V-2 was 32.  The actual number of edges 
was 32.  
For polyhedron  2, E=F+V-2 was 12.  The actual number of edges 
was 12.  
For polyhedron  3, E=F+V-2 was 12.  The actual number of edges 
was 12.  
For polyhedron  4, E=F+V-2 was 15.  The actual number of edges 
was 15.  
For polyhedron  5, E=F+V-2 was 12.  The actual number of edges 
was 12.  
For polyhedron  6, E=F+V-2 was  9.  The actual number of edges 
was  9. 
For polyhedron  7, E=F+V-2 was 26.  The actual number of edges 
was 26.  
For polyhedron  8, E=F+V-2 was 12.  The actual number of edges 
was 12.  
For polyhedron  9, E=F+V-2 was 11.  The actual number of edges 
was 11.  
For polyhedron 10, E=F+V-2 was 11.  The actual number of edges 
was 11.  Euler's formula was correct ten out of the ten times I 
tested it.

IV.  SUMMARY AND CONCLUSION:

In my research, I found out that Euler's formula worked on 10 
out of the 10 polyhedrons I tested.  Therefore, I accept my 
hypothesis which stated that Euler's formula would be accurate.

V.  APPLICATION:

I will apply my findings by telling students when they are 
working with a complex polyhedron that they can find the edges 
by adding the faces and vertices and subtracting 2.

© 1995 John I. Swang, Ph.D.