Statistics Unit 10 Review

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These flashcards cover key concepts from Unit 10 of the statistics lecture notes, focusing on confidence intervals, sampling procedures, and evaluation of statistical tests.

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13 Terms

1
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What are the three types of procedures for confidence intervals

One sample t interval for M, two sample t interval for M1-M2, one sample t interval for M difference.

2
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What is the 10% condition for sample size?

n < 0.10N or n = 0.10N.

3
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What are the four steps in the 4c method for constructing an interval?

Choose, Check, Calculate, Conclude.

4
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When concluding a confidence interval, how should the statement be framed?

We are BLANK % confident that the interval from BLANK to BLANK captures the true PARAMETER.

5
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What is the general formula for a one sample confidence interval?

Mean +/- Critical value (standard error).

6
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What is the standard error formula for a one sample?

s/ square root of n

7
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What is the critical value for means in confidence intervals?

t*.

8
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What do we use for finding the critical value t*?

Table B.

9
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What is the formula for degrees of freedom (df) in a one sample t-test?

n - 1.

10
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How do you evaluate a confidence interval with (+,+)?

Convincing evidence that the 1st mean is GREATER.

11
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How do you evaluate a confidence interval with (-,-)?

Convincing evidence that the 1st mean is less.

12
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What distinguishes a two sample t interval from matched pairs?

In matched pairs, each group gets both treatments/has one measurement; in two samples, each group gets a different treatment/has separate measurements.

13
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Why is it appropriate to use a two sample t interval for M1-M2?

The data was collected from 2 independent samples rather than one paired sample.