please answer my test grade 11

16. doscribe the population meant a. The population decreases by 7.5 e population is greater than 7.5 C. The population mean is also equal to 7.5 d. The population mean and mean of the sampling distribution of the means cannot be compared. 17. What does the Central Limit Theorem state 0. The sample size is large b. All possible samples are selected C. The standard error of the sampling distribution is small d. The standard deviation is sufficiently large than normal 18. The Central Umit Theorem states that the mean of the sampling distribution of the sample mean is a. Larger than the population mean Exactly equal to the population mean Close to the population means if the sample size is large d. Equal to the population mean divided by the square root of the sample size 19. The states: "As the sample size n increases, the shape of the distribution of the sample means taken without replacement from a population with mean a and the standard deviation a will approach a normal distribution." Z- distribution b. Central Limit Theorem Chi distribution d. Pythagorean theorem 20. If a population has a mean of 1 1.6, what is the mean of the sampling distribution? a. Larger than 1 1.6 b. Less than 11.6 Closer to 11.6 d. Exactly the same as 11.6 C. Read and analyze the following situations and supply the values of the following variable in the second column. Determine whether the following statements have known or unknown population variance. Also, identify the formula to be used for the standard error of the mean by writing og when the population variance is known and s when the population variance is unknown. Situation Given Answer Standard (known or unknown) Error Formula 21. Consider a population consisting of 15, 2. N = 12. 4. 5, 8. Samples of size 2 are drawn from n = the this population. 22. Given the population mean of 98. and a sample standard deviation 2 in a sample size of 45