Question

part a
as you learned in this lab, a t - test produces a test statistic called a p - value. can you fill in the statements below about how p - values are used to accept or reject hypotheses?
place the terms in the appropriate blanks to complete the sentences. terms may be used more than once.
if the p - value is greater than or equal to 0.05, the null hypothesis is blank and an alternative hypothesis is blank.
if the p - value is less than 0.05, the null hypothesis is blank and an alternative hypothesis is blank.
data analysis from an experiment yielded a p - value of 0.3. consequently, the scientist blank the null hypothesis and blank an alternative hypothesis.

Explanation:

In hypothesis - testing, if the p - value is greater than or equal to the significance level (commonly 0.05), we fail to reject the null hypothesis (which is not the same as accepting it), and do not accept the alternative hypothesis. If the p - value is less than the significance level, we reject the null hypothesis and accept the alternative hypothesis. A p - value of 0.3 is greater than 0.05.

Answer:

If the p - value is greater than or equal to 0.05, the null hypothesis is not rejected and the alternative hypothesis is not accepted.
If the p - value is less than 0.05, the null hypothesis is rejected and the alternative hypothesis is accepted.
Data analysis from an experiment yielded a p - value of 0.3. Consequently, the scientist did not reject the null hypothesis and did not accept an alternative hypothesis.