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
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Chapter1: Starting With Matlab
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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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