## Step 4: Statistical Inference

Assume these differences are representative of the larger population of time differences for all college students.

(d) Based on how this new analysis variable has been defined, define the parameter of interest in this study in words. [Hint: Let d represent ....]

(e) State (in symbols) the null and alternative hypotheses you are interested in testing for these data based on how you stated the research question in (a).

## Thought Questions (Think about briefly, discuss with partner, and then move on):

• How was randomness used in this study?
• Assuming the null hypothesis is true, that chip type is not the reason for the differences in melting times, the times for each student should then be “exchangeable.” That is, for each person, it should not matter which time goes with which chip. How can we simulate this idea of exchangeable times?
• Can we use the same simulation applet that we used in Lab 5 in the sleep deprivation study? Why or why not?
• What do we hope to learn from this simulation?