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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: 9780137493470Not the one you use?Change textbook
Chapter 8, Problem 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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Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

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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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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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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Related Practice
Textbook Question

What conditions are necessary in order to use the z-test to test the difference between two population means?

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Textbook Question

Test the claim about the difference between two population means and at the level of significance α. Assume the samples are random and independent, and the populations are normally distributed.

Claim: μ1=μ2, α=0.01, Assume (σ1)^2=(σ2)^2

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Textbook Question

Testing the Difference Between Two Proportions In Exercises 7–12, (a) identify the claim and state Ho and Ha, (b) find the critical value(s) and identify the rejection region(s), (c) find the standardized test statistic z, (d) decide whether to reject or fail to reject the null hypothesis, and (e) interpret the decision in the context of the original claim. Assume the samples are random and independent.


Multiple Sclerosis Drug In a study to determine the effectiveness of using a drug to treat multiple sclerosis, 488 subjects were given the drug and 244 subjects were given a placebo. The numbers of subjects who had 12-week confirmed disability progression were tracked. The results are shown at the left. At α=0.01, can you support the claim that there is a difference in the proportion of subjects who had no 12-week confirmed disability progression? (Adapted from The New England Journal of Medicine)


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Textbook Question

Young Adults In a survey of 3500 males ages 20 to 24 whose highest level of education is some college, but no bachelor’s degree, 80.2% were employed. In a survey of 2000 males ages 20 to 24 whose highest level of education is a bachelor’s degree or higher, 86.4% were employed. At α=0.01, can you support the claim that there is a difference in the proportion of those employed between the two groups? (Adapted from National Center for Education Statistics)

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Textbook Question

[APPLET] Teaching Methods

A new method of teaching reading is being tested on third grade students. A group of third grade students is taught using the new curriculum. A control group of third grade students is taught using the old curriculum. The reading test scores for the two groups are shown in the back-to-back stem-and-leaf plot.

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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Textbook Question

Blue Crabs A marine researcher claims that the stomachs of blue crabs from one location contain more fish than the stomachs of blue crabs from another location. The stomach contents of a sample of 25 blue crabs from Location A contain a mean of 320 milligrams of fish and a standard deviation of 60 milligrams. The stomach contents of a sample of 15 blue crabs from Location B contain a mean of 280 milligrams of fish and a standard deviation of 80 milligrams. At , α= 0.01can you support the marine researcher’s claim? Assume the population variances are equal.

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