AP Statistics TPS 8.3

Flashcard
•
Mathematics
•
11th Grade - 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 value of an unknown population parameter. It is associated with a confidence level that quantifies the level of confidence that the parameter lies within the interval.
Tags
CCSS.HSS.IC.B.4
2.
FLASHCARD QUESTION
Front
Which factors affect the width of a confidence interval?
Back
The width of a confidence interval is affected by the sample size, the sample standard deviation, and the critical value (t* or z*). The sample mean does not affect the width.
Tags
CCSS.HSS.IC.B.4
3.
FLASHCARD QUESTION
Front
What is the critical value in a confidence interval?
Back
The critical value is a factor used to compute the margin of error in a confidence interval. It corresponds to the desired confidence level and is derived from the t-distribution or z-distribution.
Tags
CCSS.HSS.IC.B.4
4.
FLASHCARD QUESTION
Front
When should a t-distribution be used instead of a z-distribution?
Back
A t-distribution should be used when the sample size is small (typically n < 30) and/or when the population standard deviation is unknown.
Tags
CCSS.HSS.ID.A.4
5.
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 = sample mean ± (critical value * (sample standard deviation / √sample size)).
Tags
CCSS.HSS.IC.B.4
6.
FLASHCARD QUESTION
Front
What does a 99% confidence interval imply?
Back
A 99% confidence interval implies that if we were to take many samples and build a confidence interval from each sample, approximately 99% of those intervals would contain the true population mean.
Tags
CCSS.HSS.IC.B.4
7.
FLASHCARD QUESTION
Front
What is the significance of the sample size in confidence intervals?
Back
A larger sample size generally results in a narrower confidence interval, indicating more precision in estimating the population parameter.
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