A sampling distribution is the probability distribution for (a) all the observat

Question

A sampling distribution is the probability distribution for (a) all the observations in a sample. (b) all possible values in the population. (c) all possible values of sample statistic. (d) All of the above are sampling distributions. (e) None of the above are sampling distributions. Which of the following is not a characteristic of the normal probability distribution? (a) The mean, median, and mode are all equal. (b) It can be completely specified by only two parameters (c) All intervals of the same length contain equal proportions of the total area. (d) The distribution is symmetrical. (c) All are characteristics of the normal distribution. The difference between a sample mean (X) and its corresponding population mean(mu) is called the (a) sampling distribution. (b) standard error of the mean. (c) sample statistic. (d) sampling error. (e) none of the above. Which of the following is(are) point estimators? (a) mu (b) sigma (c) s (d) all of the above (e) only (a) and (b) If we change a 95% confidence interval estimate to a 90% confidence interval estimate, we can expect (a) the size of the confidence interval to increase. (b) the size of the confidence interval to decrease. (c) the size of the confidence interval to remain the same. (d) the sample size to increase. (e) none of the above answers are correct. Of the major components of a confidence interval for the mean, which is affected by the confidence level? (a) X bar (b) z (or t) (c) standard error (d) sigma (e) none of the above

Explanation / Answer

9)

confidence level decreases , width of confidence intervel decreases

option(b)

10)marginal error only effected by confidence evel

therfore here answer is

option (e) none of the above.

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