Fisher’s exact test can be used as a quick test for correlation between two variables X and Y , each of which has at least an ordinal scale of measurement. Divide the scatterplot of the N values of (X, Y ) with a vertical line at the median of X, and a horizontal line at the median of Y , and count the number of observations in each of the four quadrants. note that the row and column totals are N/2, and are not at random. Suppose 16 observations of X = age of marriage of a husband, and Y = age of marriage of his father, result in 7 pairs where both ages were above the median. Are the two variables positively correlated?
Fisher’s exact test can be used as a quick test for correlation between two variables X and Y , each of which has at least an ordinal scale of measurement. Divide the scatterplot of the N values of (X, Y ) with a vertical line at the median of X, and a horizontal line at the median of Y , and count the number of observations in each of the four quadrants. note that the row and column totals are N/2, and are not at random. Suppose 16 observations of X = age of marriage of a husband, and Y = age of marriage of his father, result in 7 pairs where both ages were above the median. Are the two variables positively correlated?
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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Fisher’s exact test can be used as a quick test for
two variables X and Y , each of which has at least an ordinal scale of
measurement. Divide the
vertical line at the
and count the number of observations in each of the four quadrants. note
that the row and column totals are N/2, and are not at random. Suppose
16 observations of X = age of marriage of a husband, and Y = age of
marriage of his father, result in 7 pairs where both ages were above the
median. Are the two variables
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