Question

Scenario:
A scientist is studying the effect of temperature on frog weight. The scientist weighs each frog in each tank at noon every day. She uses a Thermosure brand thermometer to verify temperature in each tank.

1. What is the dependent variable in this scenario?
2. What is the independent variable?
3. List two standardized variables.
4. What would be the treatment group?
5. What would be a possible research hypothesis?
6. What would be the null hypothesis?
7. Assume the scientist ran a t-test and received a p value of 0.12. What is the probability (in percent) that the difference between the two treatments was due to chance – don’t overthink this! (1 pt)?
8. Based on the P-value of 0.12, would you reject the null hypothesis? (Only need a yes or no)

Answer 1

1. Frog weight is the dependent variable

2. Temperature is the independent variable

3. Let same amount of feed be given to the frogs.

Let frogs of same age be included.

Thus amount of feed and age of frog remain as standard variable.

4. Treatment group is the group of frogs those who are exposed to different temperature conditions.

5. Research hypothesis .

An increase in temperature reduces the weight of the frog.

6. Null hypothesis

Increase in temperature does not reduce the weight of the frog.

7. There is 12 percentage probability that the difference is due to chance.

8. No