Question

sorry that there is three- I am having a hard time understanding these ones.

It is believed that students who begin studying for final exams a week before the test score differently than students who wait until the night before. Suppose you want to test the hypothesis that students who study one week before score different from students who study the night before. A hypothesis test for two independent samples is run based on your data and a p-value is calculated to be 0.0341. What is the appropriate conclusion? The average score of students who study one week before a test is 1) significantly less than the average score of students who wait to study until the night before a test. The average score of students who study one week before a test is equal to 2) the average score of students who wait to study until the night before a test. We did not find enough evidence to say a significant difference exists 3) between the average score of students who study one week before a test and the average score of students who wait to study until the night before a test. The average score of students who study one week before a test is 4) significantly greater than the average score of students who wait to study until the night before a test. The average score of students who study one week before a test is 5) significantly different from the average score of students who wait to study until the night before a test.

Answer 1

1) p value is small, so test is significant
answer: option 5)

2) p value is small, so test is significant
answer: option 2)

12)
p value<α, reject Ho
answer: option 3)