12th Edition

ISBN: 9780321837936

Author: Mario F. Triola

Publisher: PEARSON

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Chapter 9.3, Problem 13BSC

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. Do the following:

a. Test the given claim using the P-value method or critical value method.
b. Construct a confidence interval suitable for testing the given claim.

13. Proctored and Nonproctored Tests In a study of proctored and nonproctored tests in an online Intermediate Algebra course, researchers obtained the data for test results given below (based on “Analysis of Proctored versus Non-proctored Tests in Online Algebra Courses,” by Flesch and Ostler, MathAMATYC Educator, Vol. 2, No. 1). Use a 0.01 significance level to test the claim that students taking nonproctored tests get a higher mean than those taking proctored tests.

Group 1 (Proctored): n = 30, x ¯ = 74.30, s = 12.87

Group 2 (Nonproctored): n = 32, x ¯ = 88.62, s = 22.09

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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Chapter 9.3, Problem 12BSC

Chapter 9.3, Problem 14BSC

Chapter 9 Solutions

Elementary Statistics

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Solution Summary: The author concludes that there is sufficient evidence to support the claim that students taking nonproctored tests get a higher mean.

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