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Runs tests are used to test whether the data are collected randomly, not whether it is reasonable to conclude that data occur randomly. 2) Spearman’s rank-order correlation coefficient, Goodman-Kruskal’s gamma coefficient, Kendall's tau-a, and Kendall's tau-b are the most commonly used measures of association for doubly unordered contingency tables.  3) Gamma coefficient is good when the table dimension is small for relatively small sample sizes. It increases and overestimates as the sample size increases for any certain type of table dimension. In overall, for square tables Gamma presents the best estimation of the actual degree of the association in average.

Runs tests are used to test whether the data are collected randomly, not whether it is reasonable to conclude that data occur randomly. 2) Spearman’s rank-order correlation coefficient, Goodman-Kruskal’s gamma coefficient, Kendall's tau-a, and Kendall's tau-b are the most commonly used measures of association for doubly unordered contingency tables.  3) Gamma coefficient is good when the table dimension is small for relatively small sample sizes. It increases and overestimates as the sample size increases for any certain type of table dimension. In overall, for square tables Gamma presents the best estimation of the actual degree of the association in average.

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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ANSWER THE FF. IF TRUE OR FALSE:

1) Runs tests are used to test whether the data are collected randomly, not whether it is reasonable to conclude that data occur randomly.

2) Spearman’s rank-order correlation coefficient, Goodman-Kruskal’s gamma coefficient, Kendall's tau-a, and Kendall's tau-b are the most commonly used measures of association for doubly unordered contingency tables. 

3) Gamma coefficient is good when the table dimension is small for relatively small sample sizes. It increases and overestimates as the sample size increases for any certain type of table dimension. In overall, for square tables Gamma presents the best estimation of the actual degree of the association in average. 

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