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Ch. 9 - Inferences from Two Samples
Triola - Elementary Statistics 14th Edition
Triola14th EditionElementary StatisticsISBN: 9780137366446Not the one you use?Change textbook
Chapter 9, Problem 9.2.9c

In Exercises 5–20, assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. (Note: Answers in Appendix D include technology answers based on Formula 9-1 along with “Table” answers based on Table A-3 with df equal to the smaller of n1-1 and n2-1)


Color and Cognition Researchers from the University of British Columbia conducted a study to investigate the effects of color on cognitive tasks. Words were displayed on a computer screen with background colors of red and blue. Results from scores on a test of word recall are given below. Higher scores correspond to greater word recall.


c. Does the background color appear to have an effect on word recall scores? If so, which color appears to be associated with higher word memory recall scores?


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Step 1: Identify the null and alternative hypotheses. The null hypothesis (H₀) states that the background color has no effect on word recall scores (mean scores are equal for red and blue backgrounds). The alternative hypothesis (H₁) states that the background color does have an effect (mean scores are not equal).
Step 2: Use the given data to calculate the test statistic. The formula for the test statistic is: (x1-x2)s1²/n1+s2²/n21, where x̄₁ and x̄₂ are the sample means, s₁ and s₂ are the sample standard deviations, and n₁ and n₂ are the sample sizes.
Step 3: Determine the degrees of freedom (df) using the formula: df=(s1²/n1+s2²/n2)²((s1²/n1)²n1-1+(s2²/n2)²n2-1). Round df to the nearest integer.
Step 4: Use the calculated test statistic and degrees of freedom to find the p-value. This can be done using statistical software or a t-distribution table. Compare the p-value to the significance level (typically α = 0.05) to determine whether to reject the null hypothesis.
Step 5: Interpret the results. If the null hypothesis is rejected, conclude that the background color has an effect on word recall scores. Compare the sample means (x̄₁ = 15.89 for red and x̄₂ = 12.31 for blue) to determine which color is associated with higher word recall scores.

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Key Concepts

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

Independent Samples

Independent samples refer to two or more groups that are not related or paired in any way. In this context, the red and blue background groups are independent, meaning the performance of one group does not influence the other. This is crucial for statistical tests that compare means, as it allows for the assumption that the samples can be treated separately.
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Sampling Distribution of Sample Proportion

Mean and Standard Deviation

The mean (average) is a measure of central tendency that summarizes the data by providing a single value representing the center of the dataset. The standard deviation measures the amount of variation or dispersion in a set of values. In this study, the means and standard deviations for word recall scores under red and blue backgrounds help assess the effect of color on cognitive performance.
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Calculating Standard Deviation

Hypothesis Testing

Hypothesis testing is a statistical method used to determine if there is enough evidence to reject a null hypothesis in favor of an alternative hypothesis. In this scenario, the null hypothesis might state that background color has no effect on word recall scores, while the alternative hypothesis suggests that it does. Analyzing the means and conducting a statistical test will help answer whether the background color significantly affects recall.
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Step 1: Write Hypotheses
Related Practice
Textbook Question

Count Five Test for Comparing Variation in Two Populations Repeat Exercise 16 “Blanking Out on Tests,” but instead of using the F test, use the following procedure for the “count five” test of equal variations (which is not as complicated as it might appear).

d. If c1 equal to or greater than critical value then conclude that sigma2,1 > sigma2,2 If c1 equal to or greater than critical value then conclude that sigma2,2 > sigma2,1. Otherwise, fail to reject the null hypothesis of sigma2,1 = sigma2,2

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Textbook Question

Are Seat Belts Effective? A simple random sample of front-seat occupants involved in car crashes is obtained. Among 2823 occupants not wearing seat belts, 31 were killed. Among 7765 occupants wearing seat belts, 16 were killed (based on data from “Who Wants Airbags?” by Meyer and Finney, Chance, Vol. 18, No. 2). We want to use a 0.05 significance level to test the claim that seat belts are effective in reducing fatalities.


c. What does the result suggest about the effectiveness of seat belts?

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Textbook Question

P-VALUE The test statistic of z = 2.14 is obtained when using the data from Exercise 1 and testing the claim that patients treated with dexamethasone and patients given a placebo have the same rate of complete resolution.


a. Find the P-value for the test.

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Textbook Question

Count Five Test for Comparing Variation in Two Populations Repeat Exercise 16 “Blanking Out on Tests,” but instead of using the F test, use the following procedure for the “count five” test of equal variations (which is not as complicated as it might appear).

c. If the sample sizes are equal (n1 = n2) use a critical value of 5. If n1 is not equals to n2 calculate the critical value shown below.

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Textbook Question

In Exercises 5–16, use the listed paired sample data, and assume that the samples are simple random samples and that the differences have a distribution that is approximately normal.


The Freshman 15 The “Freshman 15” refers to the belief that college students gain 15 lb (or 6.8 kg) during their freshman year. Listed below are weights (kg) of randomly selected male college freshmen (from Data Set 13 “Freshman 15” in Appendix B). The weights were measured in September and later in April.


c. What do you conclude about the Freshman 15 belief?


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Textbook Question

F Test Statistic


d. Is the F distribution symmetric, skewed left, or skewed right?

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