Consider the following statements regarding Chi-Square test:

(a) If X is a random variable following normal distribution with mean µ and standard deviation σ, then \(({{X-µ} \over σ})^2\) is a Chi-Square variate with 1 degree of freedom

(b) It is an appropriate test for testing the goodness of fit of a model / theory to experimental data

(c) It involves computing the squares of the deviations of observed frequencies from the expected frequencies.

Which of the above statements are correct?

1
(a) and (b) only
2
(b) and (c) only
3
(a) and (c) only
4
(a), (b) and (c)

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