You are a biomedical design engineer working on a new drug delivery pump. The pump is designed so that the minimum rate of delivery is not below $5 \mathrm{cc} /$ hour. A selected random sample of $n=9$ of the bottles have a sample average of $\bar{x}=5.02 \mathrm{cc} /$ hour and a sample variance of $0.0009(\mathrm{cc) / \text { hour })^{2}$. Use significance level $\alpha=0.01$. We would like to find if the drug delivery rate does not drop below the specifications. 06. The null hypothesis and the alternative hypothesis, respectively, are as follows: A. $H_{0}: \sigma^{2}=0.0009\left(\frac{cc}{\text { hour }} ight)^{2}$, and $H_{1}: \sigma^{2} eg 0.0009\left(\frac{cc}{\text { hour }} ight)^{2}$ B. $H_{0}: \mu=5 \mathrm{cc} /$ hour, and $H_{1}: \mu eq 5 \mathrm{cc} /$ hour c. $H_{0}: \mu=5 \mathrm{cc) /$ hour, and $H_{1}: \mu>5 \mathrm{cc} /$ hour D. $H_{0}: \mu=5 \mathrm{cc} /$ hour, and $H_{1}: \mu0.03$ 07. To test the hypothesis, we must use the following test statistic: A. $z_{0}=\frac{\bar(x}-\mu_{0}}{a / \sqrt{n}}$ B. $z_{0}=\frac{x-n p_{0}}{\sqrt{n p_{e}\left(1-p_{0} ight)}}$ D. $x_{0}^{2}=\frac{(n-1) 5^{2}}{\sigma_{0}^{2}}$ E. $t_{0}=\frac{\bar[x]-H_{0}}{5 / \sqrt{\pi}}$ SP.SD.0081