Confidence Interval (Practice)

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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.
Tags
CCSS.HSS.IC.B.4
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.
Tags
CCSS.HSS.IC.B.4
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.
Tags
CCSS.HSS.IC.B.4
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.
Tags
CCSS.HSS.ID.A.4
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