Question Details

In Chi square test of goodness of fit, the degrees of freedom of the chi square statistic 



1. The distribution used for testing mean of a normal population when population
variance is unknown with a large sample is,
(i) Normal distribution (ii) t distribution
(iii) F distribution (iv) None of these
2. Chi square test of goodness of fit is introduced by,
(i)James Bernoulli (ii) Jacob Bernoulli
(iii) Karl Pearson (iv) WS Gosset

3. In Chi square test of goodness of fit, the degrees of freedom of the chi square statistic is
n-r-1, where r denotes,
(i) Number of parameters are estimated using the observations for the calculation of
the theoretical frequencies
(ii) Number of observations used for the calculation of the theoretical frequencies
(iii) Number of classes of observations
(iv) None of these

4. The theorem supporting the statement that, When the number of sample is large,
almost all test statistics follows normal distribution
(i)Neyman-Pearson therorem (ii) Central limit theorem
(iii) Bernoullie- laws (iv) None of these



Math Assignment Help, Math Homework help, Math Study Help, Math Course Help