please answer this grade 11

15. What is the valance of the sampling distribution of the sample means (3 points) (refer to page 218 formula Mind this) a. 4 C. 3 d. Solution here 16 -20. Please refer to page 214, 243-244 16. If the mean of the sampling distribution of the mean is 7.5, which of the following statements best describe the population mean? a. The population decreases by 7.5 b. The population is greater than 7.5 U 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? a. The sample size is large 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 Limit Theorem states that the mean of the sampling distribution of the sample mean is a. Larger than the population mean b. Exactly equal to the population mean c. 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 , and the standard deviation a will approach a normal distribution." a. Z- distribution b. Central Limit Theorem C. Chi distribution d. Pythagorean theorem 20. If a population has a mean of 1 1.6, what is