AP Statistics TPS 8.3

AP Statistics TPS 8.3

Assessment

Flashcard

Mathematics

11th Grade - University

Hard

CCSS
HSS.IC.B.4, HSS.ID.A.4, HSS.IC.B.3

Standards-aligned

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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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