The purpose of a confidence interval is to provide

a) information about the range of data in a distribution
b) a measure of the confidence we can have in our sample results representing the population
c) a list of all possible values of the statistic from all possible samples
d) plausible values that a parameter could take

D) plausible values that a parameter could take

Step-by-step explanation:

Confidence interval is estimated range of values for a population parameter could take in a given confidence level.

It can be represented as M±ME where

Confidence Intervals is measured to deal with uncertainty. For example, 95% confidence interval for a population mean is (25, 35) means that there is 95% chance that population mean is between the values 25 and 35.

a reflection across the x-axis , followed by the by a reflection across the y-axis , and then a scale dilation of 0.5 .

answer: the correct answer is -32

step-by-step explanation: