Confidence interval Assume that we will use the sample data from Exercise 1 “Video Games” with a 0.05 significance level in a test of the claim that the population mean is greater than 90 sec. If we want to construct a confidence interval to be used for testing the claim, what confidence level should be used for the confidence interval? If the confidence interval is found to be 21.1 sec < \(\mu \) < 191.4 sec, what should we conclude about the claim?

Refer to Exercise 1 for the duration times of alcohol use for 12 different video games. The claim tested at the 0.05 level of significance indicates that the population mean is greater than 90 sec.

The confidence interval is \(21.1\;{\rm{sec}} < \mu < 191.4\;{\rm{sec}}\).

For true population mean\(\mu \), the hypotheses are formulated as follows:\(\begin{array}{l}{H_0}:\mu = 90\;\sec \;({\rm{null}}\;{\rm{hypothesis}})\\{H_1}:\mu > 90\;\sec \;({\rm{alternative}}\;{\rm{hypothesis}}\;{\rm{and}}\;{\rm{original}}\;{\rm{claim}})\end{array}\)

Hence, this is aright-tailed test or a one-tailed test.

The relationship between significance level and confidence level is stated below.

For a one-tailed test with a significance level\(\alpha = 0.05\), a 90% confidence interval would be used.

The 90% confidence interval is 21.1 sec to 191.4 sec.

The hypothesized value of 90 seclies within the confidence interval. Thus, there is insufficient evidence to rejectthe null hypothesis.

Thus, it is concluded that we fail to reject the null hypothesis.

Therefore, it is concluded that there is insufficient evidence to support the claim that the population mean is greater than 90 seconds.