A chi-square test for independence with 10 degrees of freedom results in a test statistic of 17.894 ...

A chi-square test for independence with 10 degrees of freedom results in a test statistic of 17.894 . Using the chi-square table, the most accurate statement that can be made about the p-value for this test is that 0.05 < p-value < 0.10.
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Q. 2

A chi-square test for independence is applied to a contingency table with 4 rows and 4 columns for two qualitative variables. The degrees of freedom for this test must be 9.
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Q. 3

A chi-square test for independence is applied to a contingency table with 3 rows and 4 columns for two qualitative variables. The degrees of freedom for this test must be 12.
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Q. 4

The degrees of freedom associated with a contingency-table test of independence equal the number of rows times the number of columns in the table.
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Q. 5

A contingency table classifies data according to two or more categories associated with each of two qualitative variables that are statistically independent of one another.
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Q. 6

Chi-square tests of independence are always lower-tailed because a perfect fit between and makes equal to zero.
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Q. 7

In a typical contingency-table test, we calculate each expected cell frequency as the product of row total times column total times sample size.
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Q. 8

Numbers in a contingency table show the frequency of occurrence of all possible combinations of categories.
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Q. 9

A contingency table classifies data with respect to two qualitative variables that are each divided into two or more categories.
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