The Effect of Caffeine on Caterpillar Development

The Effect of Caffeine on Caterpillar Development The Effect of Caffeine on Caterpillar Development

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ong>Theong> ong>Effectong> ong>ofong> ong>Caffeineong> on Caterpillar Development By the Olympic Frenzy Fishermen Abstract ong>Theong> purpose ong>ofong> this scientific project was to find out if the amount ong>ofong> caffeine that our group emitted into the caterpillars diet would affect survival ong>ofong> the caterpillars to emergence. We gave one group ong>ofong> caterpillars a dose ong>ofong> caffeine in their food, and the other group got a placebo (distilled water). ong>Theong>re was no difference in the survival rate between the control and the treatment groups. Introduction We decided to perform an experiment on lady painted caterpillars to test if caffeine would affect the survival ong>ofong> caterpillars from the start ong>ofong> the experiment to pupation. From previous given information, we know that caffeine can make people very hyperactive and high consumption ong>ofong> caffeine affects one's health level. Our null hypothesis was that there was going to be no difference between the survival to pupation ong>ofong> the caterpillars who are exposed to caffeine and those caterpillars that are not. Our alternative hypothesis was that there was going to be a difference in the survival to pupation between the caterpillars who are exposed to caffeine and those who are not. We then predicted that more caterpillars will die when caffeine is added to their regular diet. Methods We separated 15 caterpillars into one group and 15 into another group. We got a 200 mg caffeine tablet and crushed it with 1.5 milliliter ong>ofong> water for our treatment group. ong>Theong>n we measured 8 grams ong>ofong> caterpillar food to be put into every cup (for both the control and treatment {caffeine} group). We then took the cups and added 0.1 milliliter ong>ofong> caffeine solution to each treatment cup and 0.1 milliliter ong>ofong> water in every control cup, and mixed it with the food. Finally we put the caterpillars into each ong>ofong> their separate cups and began our watchful experiment. We used a Chi-square test to see if there was a significant difference in survival between treatment and control groups. Results We recorded how many ong>ofong> each group survived or died on each observation day (Table 1). In the control group, 14 caterpillars survived (93%) and 1 died (7%). In the treatment group, 11 (79%)survived and 4 (21%) died. Overall, 83% survived and 17% died. (Table 2) ong>Theong> Chi-Square calculated value ong>ofong> 2.129 is less than the tabled value ong>ofong> 3.84 at 1 df and p=.95 value. ong>Theong>refore there is no difference in the survival rate between the control and the treatment groups. We cannot reject the null hypothesis. Discussion We did not see a difference in survival from start ong>ofong> the experiment to pupation between our treatment and control groups. We learned from Dr. Krempels that caterpillars can detoxify many poisons found in plants (such as caffeine), and we think that maybe the caterpillars were not affected by the caffeine because they are not poisoned by it the way humans are. This tells us that chemicals can affect different

<str<strong>on</strong>g>The</str<strong>on</strong>g> <str<strong>on</strong>g>Effect</str<strong>on</strong>g> <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>Caffeine</str<strong>on</strong>g> <strong>on</strong> <strong>Caterpillar</strong> <strong>Development</strong><br />

By the Olympic Frenzy Fishermen<br />

Abstract<br />

<str<strong>on</strong>g>The</str<strong>on</strong>g> purpose <str<strong>on</strong>g>of</str<strong>on</strong>g> this scientific project was to find out if the amount <str<strong>on</strong>g>of</str<strong>on</strong>g> caffeine that our<br />

group emitted into the caterpillars diet would affect survival <str<strong>on</strong>g>of</str<strong>on</strong>g> the caterpillars to<br />

emergence. We gave <strong>on</strong>e group <str<strong>on</strong>g>of</str<strong>on</strong>g> caterpillars a dose <str<strong>on</strong>g>of</str<strong>on</strong>g> caffeine in their food, and the<br />

other group got a placebo (distilled water). <str<strong>on</strong>g>The</str<strong>on</strong>g>re was no difference in the survival rate<br />

between the c<strong>on</strong>trol and the treatment groups.<br />

Introducti<strong>on</strong><br />

We decided to perform an experiment <strong>on</strong> lady painted caterpillars to test if caffeine<br />

would affect the survival <str<strong>on</strong>g>of</str<strong>on</strong>g> caterpillars from the start <str<strong>on</strong>g>of</str<strong>on</strong>g> the experiment to pupati<strong>on</strong>.<br />

From previous given informati<strong>on</strong>, we know that caffeine can make people very hyperactive<br />

and high c<strong>on</strong>sumpti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> caffeine affects <strong>on</strong>e's health level. Our null hypothesis<br />

was that there was going to be no difference between the survival to pupati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> the<br />

caterpillars who are exposed to caffeine and those caterpillars that are not. Our<br />

alternative hypothesis was that there was going to be a difference in the survival to<br />

pupati<strong>on</strong> between the caterpillars who are exposed to caffeine and those who are not. We<br />

then predicted that more caterpillars will die when caffeine is added to their regular diet.<br />

Methods<br />

We separated 15 caterpillars into <strong>on</strong>e group and 15 into another group. We got a 200<br />

mg caffeine tablet and crushed it with 1.5 milliliter <str<strong>on</strong>g>of</str<strong>on</strong>g> water for our treatment group.<br />

<str<strong>on</strong>g>The</str<strong>on</strong>g>n we measured 8 grams <str<strong>on</strong>g>of</str<strong>on</strong>g> caterpillar food to be put into every cup (for both the<br />

c<strong>on</strong>trol and treatment {caffeine} group). We then took the cups and added 0.1 milliliter<br />

<str<strong>on</strong>g>of</str<strong>on</strong>g> caffeine soluti<strong>on</strong> to each treatment cup and 0.1 milliliter <str<strong>on</strong>g>of</str<strong>on</strong>g> water in every c<strong>on</strong>trol cup,<br />

and mixed it with the food. Finally we put the caterpillars into each <str<strong>on</strong>g>of</str<strong>on</strong>g> their separate cups<br />

and began our watchful experiment. We used a Chi-square test to see if there was a<br />

significant difference in survival between treatment and c<strong>on</strong>trol groups.<br />

Results<br />

We recorded how many <str<strong>on</strong>g>of</str<strong>on</strong>g> each group survived or died <strong>on</strong> each observati<strong>on</strong> day<br />

(Table 1). In the c<strong>on</strong>trol group, 14 caterpillars survived (93%) and 1 died (7%). In the<br />

treatment group, 11 (79%)survived and 4 (21%) died. Overall, 83% survived and 17%<br />

died. (Table 2)<br />

<str<strong>on</strong>g>The</str<strong>on</strong>g> Chi-Square calculated value <str<strong>on</strong>g>of</str<strong>on</strong>g> 2.129 is less than the tabled value <str<strong>on</strong>g>of</str<strong>on</strong>g> 3.84 at 1 df<br />

and p=.95 value. <str<strong>on</strong>g>The</str<strong>on</strong>g>refore there is no difference in the survival rate between the c<strong>on</strong>trol<br />

and the treatment groups. We cannot reject the null hypothesis.<br />

Discussi<strong>on</strong><br />

We did not see a difference in survival from start <str<strong>on</strong>g>of</str<strong>on</strong>g> the experiment to pupati<strong>on</strong><br />

between our treatment and c<strong>on</strong>trol groups. We learned from Dr. Krempels that<br />

caterpillars can detoxify many pois<strong>on</strong>s found in plants (such as caffeine), and we think<br />

that maybe the caterpillars were not affected by the caffeine because they are not<br />

pois<strong>on</strong>ed by it the way humans are. This tells us that chemicals can affect different


species in different ways. This was a surprise because we thought that caffeine would be<br />

bad for the baby caterpillars.<br />

If we did this experiment again, we would try to see if there was a difference in the<br />

rate <str<strong>on</strong>g>of</str<strong>on</strong>g> pupati<strong>on</strong> or the time from pupati<strong>on</strong> to emergence in caterpillars given caffeine or<br />

not given caffeine, because even if survival is not affected by caffeine, other things in the<br />

caterpillar life cycle might be.<br />

Tables<br />

Table 1: <strong>Caterpillar</strong>s that lived or died in the treatment group (caffeine) and in the<br />

c<strong>on</strong>trol group (no caffeine). <str<strong>on</strong>g>The</str<strong>on</strong>g>re was no significant difference between the groups.<br />

Treatment<br />

C<strong>on</strong>trol<br />

1 - LIVED 16 - LIVED<br />

2 - LIVED 17 - LIVED<br />

3 - LIVED 18 - LIVED<br />

4 - LIVED 19 - LIVED<br />

5 - LIVED 20 - LIVED<br />

6 - DIED 21 - LIVED<br />

7 - LIVED 22 - LIVED<br />

8 - LIVED 23 - LIVED<br />

9 - DIED 24 - LIVED<br />

10 - LIVED 25 - LIVED<br />

11 - LIVED 26 - LIVED<br />

12 - DIED 27 - LIVED<br />

13 - DIED 28 - DIED<br />

14 - LIVED 29 - LIVED<br />

15 - LIVED 30 - LIVED<br />

TOTAL DEAD = 4 TOTAL DEAD = 1<br />

TOTAL SURVIVED = 11 TOTAL SURVIVED = 13<br />

Table: 2. Survival rates <str<strong>on</strong>g>of</str<strong>on</strong>g> the caterpillars. Total survival rate = 0.83. Predicted to<br />

survive (.83) (15) = 12.45. Total Death rate= 0.17. Predicted to die (.17) (15) = 2.55<br />

Chi-Square Value at 1 df equals 2.129<br />

Group C<strong>on</strong>trol Treatment<br />

Survived 14 11<br />

Died 1 4<br />

Total started /w 15 15<br />

Group c<strong>on</strong>trol Treatment<br />

# survived observed 14 11<br />

# survived predicted 12.45 12.45<br />

# died observed 1 4<br />

# died predicted 2.55 2.55

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