Question10:4/PM Fri Nov 22
You wish to test the following claim ( $H_{a}$ ) at a significance level of $\alpha=0.01$. $$\begin{array}{l} H_{o}: \mu=83.5 \\ H_{a}: \mu \neq 83.5 \end{array}$$
You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size $n=556$ with mean $\bar{x}=85.4$ and a standard deviation of $s=16.7$.
What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = $\square$
What is the $p$-value for this sample? (Report answer accurate to four decimal places.) p -value = $\square$ The $p$-value is... less than (or equal to) $\alpha$ greater than $\alpha$
This test statistic leads to a decision to... reject the null accept the null fail to reject the null
As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that the population mean is not equal to 83.5 . There is not sufficient evidence to warrant rejection of the claim that the population mean is not equal to 83.5 . The sample data support the claim that the population mean is not equal to 83.5. There is not sufficient sample evidence to support the claim that the population mean is not equal to 83.5 . Check Answer