For each of the scenarios, answer the following:
A. What are the variables of interest in this study? If the study is an experimental one, identify which variable is the IV and which variable is the DV.
B. What do you think the researcher's hypothesis was?
C. Based on your answer to B, what should the null and alternative hypotheses be?
D. Based on your answer to B, which statistical test would you use to address this hypothesis? Explain your reasoning.
It is said that every time someone prints off an email, a baby penguin is born. To put this to the test, a researcher flies to the South Pole and repeatedly counts the number of penguins, as her colleague prints out his emails one at a time.
A. The variables of interest are printing of e-mails and birth of penguins.
IV: Printing of e-mails.
DV: Birth of penguins.
B. The researchers hypothesis would be that “Number of e-mails printed has a positive impact on the birth of penguins.”
C. H0: Number of e-mails printed has no impact the birth of penguins.
H1: Number of e-mails printed has a positive impact with the birth of penguins.
D. A chi square test can be conducted a the both the variables are categorical in nature and we ascertain if there is a difference between the expected frequency and the observed frequency.
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