Confidence IntervalsWhat effect will decreasing the sample size and keeping everything else the same have on the length of your confidence interval?It will increase.It will decrease.It will remain the same.It cannot be determined from the given information.

Suppose you compute a confidence interval with a sample size of 80. What will happen to the confidence interval if the sample size decreases to 22?The confidence interval will widen.The confidence interval will narrow.The width of the confidence interval will stay the same.

Suppose you compute a 98% confidence interval. What will happen to the confidence interval if you decrease the confidence level to 96%?The confidence interval will widen.The confidence interval will narrow.The width of the confidence interval will stay the same

Changing from a 95% confidence interval estimate for a population proportion to a 99% confidence interval estimate, with all other things being equalSelect one:a. Decreases the interval size by 4%b. Increases the interval size by 4%c. Increases the interval size by 31%d. Decreases the interval size by 31%e. This question cannot be answered without knowing the sample size

The range of confidence interval becomes smaller as the population variance ............ and the sample size ................Question 1Answera.increases, decreasesb.decreases, decreasesc.decreases, increasesd.increases, increases

For confidence interval estimates, which of the following statements is FALSEGroup of answer choicesincreasing the sample size decreases the width of the confidence intervalusing a sample standard deviation instead of the population standard deviation always results in a wider confidence intervalthe width of the confidence interval increases as we demand more confidencea 95% confidence interval for the mean (with population standard deviation known) will be narrower than a 99% confidence interval