8th Edition

ISBN: 9781337558075

Author: Charles Henry Brase, Corrinne Pellillo Brase

Publisher: Cengage Learning

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A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

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Textbook Question

Chapter 9.3, Problem 22P

Critical Region Method: Testing Proportions Solve Problem 9 using the critical region method of testing. Since the sampling distribution of p is the normal distribution, you can use critical values from the standard normal distribution as shown in Figure 9-8 or Table 3(c) of the Appendix. Compare your conclusions with the conclusions obtained by using the P-value method. Are they the same?

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 21P

Chapter 9.3, Problem 23P

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Chapter 9 Solutions

Understanding Basic Statistics

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Solution Summary: The author explains the level of significance, null hypothesis, and alternative hypothesis.

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