Determine the critical value(s). Select the correct choice below and, if necessary, fill in the answer box to complete your choice. The critical values is/are _______ Find the z-test statistic. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. z=____ What is the result of the test?

Determine the critical value(s). Select the correct choice below and, if necessary, fill in the answer box to complete your choice. The critical values is/are ___ Find the z-test statistic. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. z= What is the result of the test?

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

Decide whether the normal sampling distribution can be used. If it can be used, test the claim about the population proportion p at the given level of significance α using the given sample statistics.

Claim: p≠0.21; α=0.01; Sample statistics: p=0.19, n=100

Determine the critical value(s). Select the correct choice below and, if necessary, fill in the answer box to complete your choice.

The critical values is/are _______

Find the z-test statistic. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.

z=____

What is the result of the test?

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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