Question

A 20-ounce soda bottle is supposed to contain 20 ounces of soda. The distribution of the actual amount of soda in a 20-ounce soda bottle is approximately normal. A curious student randomly selects fifteen 20-ounce soda bottles from various retailers and carefully measures their content to see if the soda company is cheating the customers. The mean and standard deviation of the fifteen bottles is 19.4 ounces and 0.25 ounces, respectively. Which of the following is the test statistic for the appropriate test to determine if the average amount of soda that is contained in their 20-ounce soda bottles is significantly less than 20-ounces?ghtly news dropping? In a survey taken in 2013, 24 out of 40 adults surveyed responded that they had watched the local TV news at least once in the last month. In a similar survey in 2010, 40 out of 50 adults said they had watched the local TV news at least once in the last month. Is this convincing evidence that the proportion of adults watching the local TV news dropped between 2010 and 2013? For a significance test with the hypotheses where p1 is the proportion of all adults who watched the local news at least once a month in 2013, and p2​ is the proportion for 2010, which of the following is closest to the standard error for the test statistic?

Answer 1

Answer:

A

Step-by-step explanation:

The appropriate inference procedure in this case is a one-sample t test for a mean. The test statistic for this test is $t=\frac{19.4-20}{\frac{0.25}{\sqrt{n} } }$.