Chi independence test

Explain what a theoretical chi squared (χ ²) distribution is for a Chi-square Test of independence in the context of the research question.

 If I were to run a chi-square test of independence (with these two variables: psychotherapy treatment approach by outcome and with the same sample size (40) an infinite number of times, a distribution of chi-square tests of independence would form.

Describe where the null hypothesis fits within the χ ²-distribution and explain what a null hypothesis would mean in the context of this research question? 

The χ ² value or statistic for the null hypothesis would be zero or right in the center of the far left of the chi squared (χ ²) distribution (χ ² = 0). This would mean no difference between the expected independence (same proportion of outcome to therapy for all four groups) and the actual results (whatever those results are.  

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