to use one-way anova, it is assumed that k independent random samples are drawn from k specific population where each of the k populations: 1. is normally distributed with the same mean and same standard deviation 2. Is normally distributed with the same standard devation 3. Is normally distributed with the same mean 4. Follows an F-distribution with constant variance

to use one-way anova, it is assumed that k independent random samples are drawn from k specific population where each of the k populations: 1. is normally distributed with the same mean and same standard deviation 2. Is normally distributed with the same standard devation 3. Is normally distributed with the same mean 4. Follows an F-distribution with constant variance

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter13: Probability And Calculus

Section13.2: Expected Value And Variance Of Continuous Random Variables

Problem 10E

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Question

to use one-way anova, it is assumed that k independent random samples are drawn from k specific population where each of the k populations:

1. is normally distributed with the same mean and same standard deviation

2. Is normally distributed with the same standard devation

3. Is normally distributed with the same mean

4. Follows an F-distribution with constant variance

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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