COM 309
Assignment 9 Hypothesis Testing

Q1.
Here is a research question:

“Does the amount of time spent on Instagram per day negatively influence a student’s GPAs?”
Based on the research questions (RQ), formulate a research hypothesis (H1) and its null hypothesis (H0)

H1:

H0:

The statistical analysis we ran to test the hypothesis show p = .04. What does the p value mean here?

 

Can we reject the null hypothesis of question based on this p value?

 

What does the result mean in population? (Fill in the blanks)
It means:
There is 4% of the probability that _________________________________.
There is 96% of the probability that _________________________________.

Q2. When we falsely reject the null hypothesis but in fact, we shouldn’t, what type of error (Type I or II) did we make?

Q3. When we find no differences from the null hypothesis testing but in fact, there are differences in population, what type of error (Type I or II) did we make?