Refer to the table below, the average number of chocolate chips per cookie in two competing products. Assume the population of the number of chocolate chips per cookie is normally distributed and the population variances are equal. Brand A Brand B Sample mean 6.4 5.6 Sample size 10 11 Sample standard deviation 1.1 1.7 a. The makers of Brand A claim that their cookies average more chocolate chips than Brand B. Test this hypothesis at the ? = 0.05 level of significance b. Construct a 95% confidence interval for the difference between the chocolate chip count averages.

Refer to the table below, the average number of chocolate chips per cookie in two competing products. Assume the population of the number of chocolate chips per cookie is normally distributed and the population variances are equal. Brand A Brand B Sample mean 6.4 5.6 Sample size 10 11 Sample standard deviation 1.1 1.7 a. The makers of Brand A claim that their cookies average more chocolate chips than Brand B. Test this hypothesis at the ? = 0.05 level of significance b. Construct a 95% confidence interval for the difference between the chocolate chip count averages.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 19PFA

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Question

. Refer to the table below, the average number of chocolate chips per cookie in two

competing products. Assume the population of the number of chocolate chips per cookie

is normally distributed and the population variances are equal.

Brand A Brand B

Sample mean 6.4 5.6

Sample size 10 11

Sample standard deviation 1.1 1.7

a. The makers of Brand A claim that their cookies average more chocolate chips

than Brand B. Test this hypothesis at the ? = 0.05 level of significance

b. Construct a 95% confidence interval for the difference between the chocolate chip count averages.

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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