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AQ-Q plot (or quantile-quantile plot) draws the correlation between a given sample and the normal distribution. It is used to check visually if the given the data follows the normal distribution. Suppose a Q-Q plot is given below: 40 20 theoretical What is the correct interpretation of the Q-Q plot? I. As all the points fall approximately along this reference line, we cannot assume normality. II. As all the points fall approximately along this reference line, we can assume normality. III. As some of the points fall approximately along this reference line, we cannot assume normality. IV. As some of the points fall approximately along this reference line, we can assume normality. a. I only b. П only с. Ш only d. IV only В sample

AQ-Q plot (or quantile-quantile plot) draws the correlation between a given sample and the normal distribution. It is used to check visually if the given the data follows the normal distribution. Suppose a Q-Q plot is given below: 40 20 theoretical What is the correct interpretation of the Q-Q plot? I. As all the points fall approximately along this reference line, we cannot assume normality. II. As all the points fall approximately along this reference line, we can assume normality. III. As some of the points fall approximately along this reference line, we cannot assume normality. IV. As some of the points fall approximately along this reference line, we can assume normality. a. I only b. П only с. Ш only d. IV only В sample

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 20PFA
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A Q-Q plot (or quantile-quantile plot) draws the correlation between a given sample and the normal distribution. It is used to check visually if the given the data follows the normal distribution. Suppose a Q-Q plot is given below: 40 20 theoretical What is the correct interpretation of the Q-Q plot? I. As all the points fall approximately along this reference line, we cannot assume normality. II. As all the points fall approximately along this reference line, we can assume normality. III. As some of the points fall approximately along this reference line, we cannot assume normality. IV. As some of the points fall approximately along this reference line, we can assume normality. a. I only b. П only с. Ш only d. IV only A sample
Transcribed Image Text:A Q-Q plot (or quantile-quantile plot) draws the correlation between a given sample and the normal distribution. It is used to check visually if the given the data follows the normal distribution. Suppose a Q-Q plot is given below: 40 20 theoretical What is the correct interpretation of the Q-Q plot? I. As all the points fall approximately along this reference line, we cannot assume normality. II. As all the points fall approximately along this reference line, we can assume normality. III. As some of the points fall approximately along this reference line, we cannot assume normality. IV. As some of the points fall approximately along this reference line, we can assume normality. a. I only b. П only с. Ш only d. IV only A sample
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