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Ch. 8 - Hypothesis Testing with Two Samples
Larson - Elementary Statistics: Picturing the World 8th Edition
Larson8th EditionElementary Statistics: Picturing the WorldISBN: 9780137493470당신이 사용하는 게 아니라요?교과서 변경
8장, 문제 8.2.1

What conditions are necessary to use the t-test for testing the difference between two population means?

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Ensure that the data for both populations are approximately normally distributed. This is particularly important if the sample sizes are small (n < 30). If the sample sizes are large, the Central Limit Theorem allows for some relaxation of this condition.
Verify that the samples are independent of each other. This means that the selection of one sample does not influence the selection of the other sample.
Check whether the population variances are equal or unequal. This will determine whether you use the pooled variance t-test (equal variances) or the Welch's t-test (unequal variances).
Confirm that the data is measured on an interval or ratio scale, as the t-test requires numerical data for meaningful comparison.
Ensure that the sample sizes are not too small to provide sufficient statistical power for detecting a difference, unless the effect size is expected to be large.

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주요 개념

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Normality

For the t-test to be valid, the data from both populations should ideally follow a normal distribution. This is particularly important when sample sizes are small (typically less than 30), as the t-test relies on the assumption that the sampling distribution of the mean is approximately normal.
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가이드 코스
03:17
Finding Z-Scores for Non-Standard Normal Variables

Independence

The observations in each sample must be independent of each other. This means that the selection of one observation should not influence the selection of another. Violating this assumption can lead to biased results and incorrect conclusions.
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가이드 코스
06:28
Independence Test

Equal Variances

The t-test assumes that the variances of the two populations being compared are equal. This is known as the assumption of homogeneity of variance. If this assumption is violated, a modified version of the t-test, such as Welch's t-test, may be more appropriate.
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가이드 코스
04:48
Variance & Standard Deviation of Discrete Random Variables
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What conditions are necessary in order to use the z-test to test the difference between two population means?

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At , α=0.10 is there enough evidence to support the claim that the new method of teaching reading produces higher reading test scores than the old method does? Assume the population variances are equal.

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