When a hypothesis test is conducted for one or two means, the central limit theorem plays a significant role. The theorem proves: if QUESTION 6 , the distribution of sample means are approximately QUESTION 7 distributed. We call the distribution the QUESTION 8 , and it can be visualized by a QUESTION 9. The center of the distribution is the QUESTION 10 mean. Hence, when the population standard deviation, , isJknown, we use QUESTION 11 for a hypothesis test for the mean. However is hardly known in practice. When is unknown, QUESTION 12 is used for the hypothesis test for the mean. The shape of the latter distribution is determined by QUESTION 13 , which is the value of QUESTION 14. Choose the best answer for the above QUESTION 6 . The sample is collected by survey Values in the sample are large enough The sample is collected recently The sample size is large enough Question 7 ( 2 points) Choose the best answer for the above QUESTION 7. Exponentially Uniformly Normally Question 8 (2 points) Choose the best answer for the above QUESTION 8. Sampling distribution Variance distribution Choose the best answer for the above QUESTION 9. Histogram Pie Chart Scatter plot Question 10 (2 points) Choose the best answer for the above QUESTION 10. Variance Population Question 11 (2 points) Choose the best answer for the above QUESTION 11. F-distribution Z-distribution Choose the best answer for the above QUESTION 11. F-distribution Z-distribution t-distribution Chi-distribution Question 12 (2 points) Choose the best answer for the above QUESTION 12. Chi-distribution Z-distribution t-distribution F-distribution Choose the best answer for the above QUESTION 13. the time when a data set is colleted degrees of freedom the type of the variable Question 14 (2 points) Choose the best answer for the above QUESTION 14. (Let n be the sample size) n1