12th Edition

ISBN: 9781337630580

Author: Dale Ewen

Publisher: Cengage Learning

Concept explainers

The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of tw…

Mean, Median, Mode

It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency o…

Z-Scores

A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow compar…

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Textbook Question

Chapter 15.12, Problem 4E

In Exercises 3–6, use the frequency distribution to find a. the mean and b. the sample standard deviation. c. Does the data form a normal distribution? Remember: If the data fall within 2% of the empirical rule of 68%, 95%, and 99.7% for one, two, or three standard deviations, respectively, they form a normal distribution.

Weight(lb)	Midpoint x	Frequency f
0.5-9.5		10
9.5-18.5		40
18.5-27.5		120
27.5-36.5		210
36.5-45.5		360
45.5-54.5		340
54.5-63.5		220
63.5-72.5		100
72.5-81.5		30
81.5-90.5		10

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 15.12, Problem 3E

Chapter 15.12, Problem 5E

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Chapter 15 Solutions

Elementary Technical Mathematics

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