Nann
2021-06-01
Answered

Suppose that you take 500 simple random samples from a population and that, for each sample, you obtain a 90% confidence interval for an unknown parameter. Approximately how many of those confidence intervals will not contain the value of the unknown parameter?

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diskusje5

Answered 2021-06-02
Author has **82** answers

Given: 500 samples with 90% confidence intervals.

We then expect 90% of the 500 confidence intervals to contains the value of the unknown parameter. 90% x 500=0.90 x 500 = 450

Thus we expect 450 confidence intervals to contains the value of the unknown parameter.

We then expect 90% of the 500 confidence intervals to contains the value of the unknown parameter. 90% x 500=0.90 x 500 = 450

Thus we expect 450 confidence intervals to contains the value of the unknown parameter.

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Are the results between the two confidence intervals very different?

a) Yes, because the confidence interval limits are not similar.

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c) No, because the confidence interval limits are similar

d) Yes, because one confidence interval does not contain the mean of the other confidence interval.

What is the confidence interval for the population mean

Are the results between the two confidence intervals very different?

a) Yes, because the confidence interval limits are not similar.

b) No, because each confidence interval contains the mean of the other confidence interval.

c) No, because the confidence interval limits are similar

d) Yes, because one confidence interval does not contain the mean of the other confidence interval.