SlackBoard, a company producing a Learning Management System (LMS), knows that their average user has historically spent about 75 minutes per day logged into their SlackBoard classes. They also know that time spent logged in is approximately normally distributed. A recent random sample of 58 accounts resulted in an average time of 92 logged in per day with a standard deviation of 69 minutes per day. Formulate and test a hypothesis to determine whether there is evidence to that there has been a change in average individual use time per day. Conduct your test at a significance level of \( \alpha=0.01 \). Your hypotheses are: \( \begin{array}{l}H_{0}: \mu=75 \\ H_{0}: \mu>75 \\ H_{a}: \mu>0 \\ H_{0}: \mu=75 \\ H_{a}: \mu<75 \\ H_{0}: \mu=75 \\ H_{a}: \mu \neq 75 \\ \sigma\end{array} \) What is the test statistic for this test? test statistic \( =\square \) What is the p -value for this test? p-value \( =\square \) (Report answer accurate to 4 decimal places.)
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