Confidence Interval (Practice)

Confidence Interval (Practice)

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Flashcard

Mathematics

University

Hard

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15 questions

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1.

FLASHCARD QUESTION

Front

What is a confidence interval?

Back

A confidence interval is a range of values, derived from a data set, that is likely to contain the true value of an unknown population parameter, with a specified level of confidence.

2.

FLASHCARD QUESTION

Front

How do you calculate a confidence interval for a population mean?

Back

To calculate a confidence interval for a population mean, use the formula: CI = x̄ ± (z * (σ/√n)), where x̄ is the sample mean, z is the z-score corresponding to the desired confidence level, σ is the population standard deviation, and n is the sample size.

3.

FLASHCARD QUESTION

Front

What does a 95% confidence interval mean?

Back

A 95% confidence interval means that if we were to take 100 different samples and compute a confidence interval for each sample, approximately 95 of the intervals would contain the true population mean.

4.

FLASHCARD QUESTION

Front

What is the effect of increasing the sample size on the confidence interval?

Back

Increasing the sample size generally results in a narrower confidence interval, as it reduces the standard error of the mean.

5.

FLASHCARD QUESTION

Front

What is the effect of decreasing the confidence level on the confidence interval?

Back

Decreasing the confidence level results in a narrower confidence interval, as it reduces the z-score used in the calculation.

6.

FLASHCARD QUESTION

Front

What is the formula for the standard error of the mean?

Back

The standard error of the mean (SEM) is calculated as SEM = σ/√n, where σ is the population standard deviation and n is the sample size.

7.

FLASHCARD QUESTION

Front

What is the z-score for a 90% confidence level?

Back

The z-score for a 90% confidence level is approximately 1.645.

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