Asked by Bobbie Alvarez on Jun 10, 2024

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The probability that the interval estimation procedure will generate an interval that does not contain the actual value of the population parameter being estimated is the​

A) proportion estimate.
B) ​margin of error.
C) ​confidence coefficient.
D) same as α.

Interval Estimation Procedure

A method of estimating the range of values where a population parameter lies, based on sample statistics.

Population Parameter

A numerical value that summarizes an aspect of a population, such as its mean, variance, or standard deviation.

α

It represents the significance level in hypothesis testing, usually indicating the probability of rejecting a true null hypothesis or the type I error rate.

  • Acquire knowledge on the concept of level of significance (α) and how it relates to confidence intervals.
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KD
Katrine DoblonJun 14, 2024
Final Answer :
D
Explanation :
The probability that the interval estimation procedure will generate an interval that does not contain the actual value of the population parameter is the same as the significance level, denoted by α. This is because the confidence level (1 - α) represents the proportion of times the confidence interval would contain the true parameter if the procedure were repeated many times, so α represents the proportion of times it would not.