Confidence intervals using the t-distribution

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•
Mathematics
•
11th - 12th Grade
•
Hard
+3
Standards-aligned
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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 value of an unknown population parameter, with a certain level of confidence.
Tags
CCSS.HSS.IC.B.4
2.
FLASHCARD QUESTION
Front
Why is the t-distribution used instead of the z-distribution when estimating a population mean?
Back
The t-distribution is used when the population standard deviation is unknown and the sample size is small (typically n < 30).
Tags
CCSS.HSS.ID.A.4
3.
FLASHCARD QUESTION
Front
What is the formula for calculating a confidence interval for the mean?
Back
The formula is: CI = x̄ ± t*(s/√n), where x̄ is the sample mean, t* is the t-score, s is the sample standard deviation, and n is the sample size.
Tags
CCSS.HSS.IC.B.4
4.
FLASHCARD QUESTION
Front
What does the term 'degrees of freedom' refer to in statistics?
Back
Degrees of freedom refer to the number of independent values or quantities that can vary in an analysis without violating any constraints.
5.
FLASHCARD QUESTION
Front
How do you calculate the margin of error in a confidence interval?
Back
The margin of error is calculated as: ME = t*(s/√n), where t is the t-score for the desired confidence level, s is the sample standard deviation, and n is the sample size.
6.
FLASHCARD QUESTION
Front
What is the significance of a 90% confidence interval?
Back
A 90% confidence interval means that if we were to take many samples and build a confidence interval from each sample, approximately 90% of those intervals would contain the true population mean.
Tags
CCSS.HSS.IC.B.4
7.
FLASHCARD QUESTION
Front
How do you find the lower bound of a confidence interval?
Back
The lower bound is found by subtracting the margin of error from the sample mean: Lower Bound = x̄ - ME.
Tags
CCSS.HSS.IC.B.4
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