Ho: independent
Ha : dependent
b)
Expected | Ei=row total*column total/grand total | column 1 | column 2 | column 3 |
row 1 | 127.607 | 76.066 | 96.327 | |
row 2 | 99.108 | 59.078 | 74.814 | |
row 3 | 132.286 | 78.855 | 99.859 |
c)
degree of freedom(df) =(rows-1)*(columns-1)= | 4 | |
for 4 df and 0.01 level , critical value χ2= | 13.277 |
rejection region is to the right of the critical value of X^2 | ||
non rejection region is to the left of the critical value of X^2 |
d)
test statistic X2 = | 7.878 |
e)
No
Chapter 11, Section 11.3, Problem 021 Consider the following contingency table that is based on a...
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1. Use the data in the contingency table to answer the question. Columns Rows 1 2 3 Total 1 36 35 92 163 2 67 57 113 237 Total 103 92 205 400 You wish to test the null hypothesis of "independence"—that the probability that a response falls in any one row is independent of the column it falls in—and you plan to use a chi-square test. You are given that there are 2 degrees of freedom associated with the...
please provide a detailed answer, thank you! You are conducting a test of the claim that the row variable and the column variable are dependent in the following contingency table. х Y Z A 42 39 27 B 37 32 32 Give all answers rounded to 3 places after the decimal point, if necessary. (a) Enter the expected frequencies below: х Y Z A B (b) What is the chi-square test-statistic for this data? Test Statistic: x? (c) What is...
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