First, this section discusses whether rejection of the null hypothesis should be an all-or-none proposition. Then, it discusses how to interpret non-significant results; for example, it explains why the null hypothesis should not be accepted or should be accepted with caution. It also describes how a non-significant result can increase confidence that the null hypothesis is false.
Interpreting Non-Significant Results
Question 1 out of 2.
You have just analyzed the results from your experiment, and you calculated. What conclusions can you make? Select all that apply.
- You reject the null hypothesis.
- You accept the null hypothesis.
- You fail to reject the null hypothesis.
- You accept the alternative hypothesis.
Question 2 out of 2.
You have just given a group of 2nd graders and 1st graders a reading test. You found that the 2nd graders performed better than the 1st graders, but you calculated avalue of.08, which was not significant at the.05 level. After getting these results, what should your thoughts be about the difference between 1st and 2nd graders on this reading test?
- You are more confident that there is a difference.
- You are less confident that there is a difference.
- You now know that the difference is actually zero.