Answered: Dr. Patel wants to test whether UAB,…

Name: Dr. Patel wants to test whether UAB, Auburn, or Alabama differ in how
Uploaded: 2024-03-05T11:53:49.000Z
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Description: Dr. Patel wants to test whether UAB, Auburn, or Alabama differ in how well first-year students are taught basic mathematics. He recruits 100 first-year students from each university to take part in his study and administers the same algebra exam to a

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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Dr. Patel wants to test whether UAB, Auburn, or Alabama differ in how well first-year students are taught basic mathematics. He recruits 100 first-year students from each university to take part in his study and administers the same algebra exam to all the students at the same time on the same day toward the end of their first year. There is a lot of overlap in high school attendance among the study participants at the three universities. Can Dr. Patel conduct a one-way ANOVA to answer his research question?

Answer Options:

A. Yes, it is likely all of the assumptions that need to be met to conduct an ANOVA have been satisfied.

B. No, it is likely that the assumption that each of the groups are drawn from populations that have the same variance has been violated.

C. No, it is likely that the assumption that all the observations are independent of each other has been violated.

D. No, it is likely that the assumption that each of the groups are drawn from populations that have normal distributions has been violated.

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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