In which situation may the sample proportion safely be assumed to follow a normal distribution? Multiple Choice 6 successes in a sample of 200 items 4 successes in a sample of 500 items 12 successes in a sample of 72 items 8 successes in a sample of 40 items

To find: In which situation may the sample proportion safely be assumed to follow a normal distribution? Thus, Correct option is : 12 successes in a sample of 72 items

Answered: In which situation may the sample…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In which situation may the sample proportion safely be assumed to follow a normal distribution?

Multiple Choice

6 successes in a sample of 200 items
4 successes in a sample of 500 items
12 successes in a sample of 72 items
8 successes in a sample of 40 items

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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