chiSquareTest

chiSquareTest(X, [Y])

X is a numeric vector/matrix/table.

If X is a vector, Y is a numeric vector of the same length as X. Y is not required if X is not a vector.

If X is a vector, conduct a Chi-squared goodness of fit test whether X and Y follow the same distribution.

If X is a matrix/table, conduct Pearson's Chi-squared test on X.

Return a dictionary with the following keys:

• pValue: p-value of the test

• df: degree of freedom

• chiSquaredValue: Chi-squared test statistic

• method: either "Chi-square goodness of fit test" or "Pearson's Chi-squared test"

Example 1. X is a vector.

x=rand(10.0,50)
y=rand(10.0,50)
chiSquareTest(x,y);

// output
pValue->0
df->49
chiSquaredValue->947.388015
method->Chi-square goodness of fit test

Example 2. X is a matrix.

x = matrix([762, 484], [327, 239], [468, 477])
x.rename!(`female`male, `Democrat`Independent`Republican)
x;

chiSquareTest(x);
// output
pValue->2.953589E-7
df->2
chiSquaredValue->30.070149
method->Pearson's Chi-squared test