What is the purpose of calculating a confidence interval? Multiple Choice To provide a range of values that has a certain large
probability of containing the sample statistic of interest. To provide a range of values that, with a certain measure of confidence, contains the sample statistic of interest. To provide a range of values that, with a certain measure of confidence, contains the population parameter of interest. To provide a range of values that has a certain large probability of containing the population parameter of interest.
To provide a range of values that, with a certain measure of confidence, contains the population parameter of interest.
To provide a range of values that has a certain large probability of containing the population parameter of interest.
Step-by-step explanation:
For estimating a parameter value, it is important to know the statement or degree of confidence that the interval contains the parameter value along with knowing the point estimate and the amount of possible error in the point estimate (which is the interval likely to contain the parameter value).Thus , an interval estimate of a population parameter is the confidence interval with a statement of confidence that the interval contains the parameter value. The confidence interval is a range of values around the statistic that are believed to contain, with a certain probability (say 99%) the true value of that statistic or the population value.
Look at the numbers and sort them from least to greatest. It could be the opposite answer to since the larger the negative number the smaller the value.
