Statistics Course Help With Chi Square Test Of Goodness Of Fit
A very powerful test for testing the significance of the discrepancy between theory and experiment was given by Prof. Karl Pearson in 1900 and is known as “Chi-Square test of goodness of fit”. It enables us to find if the deviation of the experiment from theory is just by chance or is it really due to the inadequacy of the theory to fit the observed data.
If Oi, (i= 1, 2,…, n) is a set of observed frequencies and Ei, (i= 1, 2,…, n) is the corresponding set of expected frequencies, then Karl Pearson’s chi-square, given by
Follows chi-square distribution with (n-1) degrees of freedom.
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Following are some of the topics in Exact Sampling distributions in which we provide help:
- Exact Sampling distributions
- Derivation Of The Chi Square Distribution
- Moment Generating Function Of x2 Distribution
- Cumulant Generating Function Of x2 Distribution
- Limiting form of x2 distribution for large degrees of freedom
- Characteristic function of x2 distribution:
- Chi Square Probability Curve
- Conditions For The Validity Of Chi Square Test
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