True / False Questions 1.For a multinomial experiment with k categories, the goodness-of-fit test st

 

True / False Questions
1.For a multinomial experiment with k categories, the goodness-of-fit test statistic is assumed to follow a chi-square distribution with k degrees of freedom. 
2.If the null hypothesis is rejected by the goodness-of-fit test, the alternative hypothesis specifies which of the population proportions differ from their hypothesized values. 
3.For a chi-square goodness-of-fit test, the expected category frequencies are calculated using the sample category proportions. 
4.For a chi-square test of a contingency table, the expected frequencies for each cell are calculated assuming the null hypothesis is true. 
5.For a chi-square test of a contingency table, the degrees of freedom are calculated as (r – 1)(c – 1) where r and c are the number of rows and columns in the contingency table. 
6.For a chi-square test of a contingency table, each observation may be counted in multiple cells of the contingency table. 
7.The chi-square test statistic measures the difference between the observed frequencies and the expected frequencies assuming the null hypothesis is true. 
 8.A goodness-of-fit test analyzes for two qualitative variables whereas a chi-square test of a contingency table is for a single qualitative variable. 
 9.When applying the goodness-of-fit test for normality, the quantitative data must be converted into a qualitative format. 
 10.For the Jarque-Bera test for normality, the test statistic is assumed to have a chi-square distribution with 2 degrees of freedom. 
 

 

 

 

 

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