Key Points
References
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Key Concepts
Pearson's chi square test (goodness of fit)
https://en.wikipedia.org/wiki/Chi-squared_test
A chi-squared test, also written as χ2 test, is any statistical hypothesis test where the sampling distribution of the test statistic is a chi-squared distribution when the null hypothesis is true. Without other qualification, 'chi-squared test' often is used as short for Pearson's chi-squared test. The chi-squared test is used to determine whether there is a significant difference between the expected frequencies and the observed frequencies in one or more categories.
do the observations for this experiment, fit the model we created?
testing - null hypothesis assumes no relationship exists in the model variables
set a significance level ( alpha ) of X% as the target discriminator ( 5% )
degrees of freedom = n - 1 ( data points ) ( dof = 5 )
Potential Value Opportunities
Potential Challenges
Candidate Solutions
Step-by-step guide for Example
sample code block