Q1. Here is a research question: What is the relationship between students’ time spent on watching TV shows per day and their GPAs? 1-1. Based on the research questions (RQ), formulate a research hypothesis (H1) and its null hypothesis (H0) H1: ______ H0: ______ 1-2. The statistical analysis we ran to test the hypothesis show p = .04. What does the p value mean here? 1-3. Can we reject the null hypothesis of question based on this p value? 1-4. 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?
Q1. Here is a research question: What is the relationship between students’ time spent on watching TV shows per day and their GPAs?
1-1. Based on the research questions (RQ), formulate a research hypothesis (H1) and its null hypothesis (H0)
H1: ______
H0: ______
1-2. The statistical analysis we ran to test the hypothesis show p = .04. What does the p value mean here?
1-3. Can we reject the null hypothesis of question based on this p value?
1-4. 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?
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