Flashcard--Confidence Interval and Margin of Error

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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 value of an unknown population parameter. It is used to estimate the uncertainty around a sample statistic.

Tags

CCSS.HSS.IC.B.4

Front

What does the margin of error represent in a confidence interval?

Back

The margin of error represents the maximum expected difference between the true population parameter and a sample estimate. It quantifies the uncertainty in the estimate.

Tags

CCSS.HSS.IC.B.4

Front

How is the margin of error calculated?

Back

The margin of error is calculated as the critical value (z* or t*) multiplied by the standard error of the sample mean.

Tags

CCSS.HSS.IC.B.4

Front

What is the relationship between sample size and margin of error?

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As the sample size increases, the margin of error decreases, leading to a more precise estimate of the population parameter.

Tags

CCSS.HSS.IC.B.4

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What effect does increasing the confidence level have on the width of a confidence interval?

Back

Increasing the confidence level results in a wider confidence interval, as it requires a larger margin of error to ensure that the true parameter is captured.

Tags

CCSS.HSS.IC.B.4

Front

If a confidence interval is (75, 85), what is the sample mean?

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The sample mean is the midpoint of the confidence interval, which is (75 + 85) / 2 = 80.

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What happens to the width of a confidence interval if the population standard deviation increases?

Back

If the population standard deviation increases, the width of the confidence interval also increases, assuming the sample size and confidence level remain constant.

Tags

CCSS.HSS.IC.B.4

Front

How do you interpret a 95% confidence interval?

Back

A 95% confidence interval means that if we were to take many samples and build a confidence interval from each sample, approximately 95% of those intervals would contain the true population parameter.

Tags

CCSS.HSS.IC.B.4

Front

What is the formula for calculating a confidence interval for the mean?

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The formula is: Confidence Interval = Sample Mean ± (Critical Value * Standard Error).

Tags

CCSS.HSS.IC.B.4

Front

What does a margin of error of 4 around a sample mean of 50 indicate?

Back

It indicates that the true population mean is likely to fall between 46 and 54.

Tags

CCSS.HSS.IC.B.4