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True or False 1. Chi-square test of independence requires that there is no less than 1 observed frequency and that no more than 20% of the observed frequencies is less than 5. 2. Scatter plot can be used to visualize the relationship between two variables measured in at least nominal scale. 3. To test the significance of the Pearson's correlation coefficient, one assumption is that the data should follow the bivariate normal distribution. 4. A Pearson's correlation coefficient of zero means that there is no any relationship that exists between the two variables. 5. Spearman's and Kendall's correlations can be used to measure any kind of relationship between two variables as long as they are measured in at least ordinal scale.

True or False 1. Chi-square test of independence requires that there is no less than 1 observed frequency and that no more than 20% of the observed frequencies is less than 5. 2. Scatter plot can be used to visualize the relationship between two variables measured in at least nominal scale. 3. To test the significance of the Pearson's correlation coefficient, one assumption is that the data should follow the bivariate normal distribution. 4. A Pearson's correlation coefficient of zero means that there is no any relationship that exists between the two variables. 5. Spearman's and Kendall's correlations can be used to measure any kind of relationship between two variables as long as they are measured in at least ordinal scale.

MATLAB: An Introduction with Applications
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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True or False 1. Chi-square test of independence requires that there is no less than 1 observed frequency and that no more than 20% of the observed frequencies is less than 5. 2. Scatter plot can be used to visualize the relationship between two variables measured in at least nominal scale. 3. To test the significance of the Pearson's correlation coefficient, one assumption is that the data should follow the bivariate normal distribution. 4. A Pearson's correlation coefficient of zero means that there is no any relationship that exists between the two variables. 5. Spearman's and Kendall's correlations can be used to measure any kind of relationship between two variables as long as they are measured in at least ordinal scale.
Transcribed Image Text:True or False 1. Chi-square test of independence requires that there is no less than 1 observed frequency and that no more than 20% of the observed frequencies is less than 5. 2. Scatter plot can be used to visualize the relationship between two variables measured in at least nominal scale. 3. To test the significance of the Pearson's correlation coefficient, one assumption is that the data should follow the bivariate normal distribution. 4. A Pearson's correlation coefficient of zero means that there is no any relationship that exists between the two variables. 5. Spearman's and Kendall's correlations can be used to measure any kind of relationship between two variables as long as they are measured in at least ordinal scale.
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