A bottler of iced tea wishes to ensure that an average of 16 ounces of tea is in each bottle. In order to analyze the accuracy of the bottling process, a random sample of 150 bottles is taken.  Using a t-distributed test statistic of -1.09 and a 5% level of significance, the bottler should:
　　A. reject the null hypothesis and conclude that bottles contain an average 16 ounces of tea.
　　B. not reject the null hypothesis and conclude that bottles contain an average 16 ounces of tea.
　　C. reject the null hypothesis and conclude that bottles do not contain an average of 16 ounces of tea.
　　D. not reject the null hypothesis and conclude that bottles do not contain an average of 16 ounces of tea.
　　Answer:B
　　Ho: µ  = 16; Ha: µ  ≠ 16. Do not reject the null since |t| = 1.09 < 1.96 (critical value).