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using a random sample from a population, carys cannot decide if she wants to construct a 90 percent confidence interval for the population mean or a 95 percent confidence interval for the population mean. what is the difference between the two confidence intervals?

Sagot :

if a statistician decides to construct using 90 percent C I over a 95% C I, it tells you that you have 10% chance of being wrong rather than 5% chance of being wrong while using the 95%.

What is the percentage?

It's the ratio of two integers stated as a fraction of a hundred parts. It is a metric for comparing two sets of data, and it is expressed as a percentage using the percent symbol.

A confidence interval is a range that shows how precise the measurement is.

if a statistician decides to construct using 90 percent C I over a 95% C I, it tells you that you have 10% chance of being wrong rather than 5% chance of being wrong while using the 95%.

Also a 90 percent confidence interval would be narrower than a 95 percent confidence interval

To Learn more about the percentage form the link:

brainly.com/question/8011401

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