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3 - which of the following statements is false? a. confidence intervals are always close to their true population values. b. confidence intervals vary from one sample to the next. c. the key to constructing confidence intervals is to understand what kind of dissimilarity we should expect to see in various samples from the same population. d. none of the above statements are false.



Answer :

Option d, none of the above statements are incorrect. Confidence intervals are always close to the true population values. However, it varies from sample to sample, and the key to constructing confidence intervals is to understand what kinds of similarities can be found in different samples of the same population.

A confidence interval for a mean provides us with a range of feasible population mean values. If a confidence interval excludes a certain number, it is unlikely that the specific value represents the genuine population mean.

The sample mean will differ from sample to sample, but when the technique estimate margin of error is applied to generate an interval based on each sample, C% of these intervals accurately represent the unknown population mean.

Confidence intervals are one method to express how "excellent" an estimate is; the broader the 90% confidence interval for a certain estimate, the more care necessary when adopting the estimate. Confidence intervals serve as a crucial reminder of the estimate's limitations.

To learn more about the confidence interval at

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