The degrees of freedom for a chi-square test on a two-way


TRUE OR FALSE?
1. The degrees of freedom for a chi-square test on a two-way table with 2 columns and 5 rows is 4.

2. When comparing several populations, the null hypothesis for the chi-square test becomes: 'The distribution of the response variable is the same in all populations tested.'

3. When using a two-way table to test independence, all data is collected from a single population.

4. The χ2 test establishes the cause of observed associations.

5. A meta-analysis is a pilot study used to determine the feasibility of a proposed experimental design.

6. In a 2 x 2 table, the chi-square test always tests the two-sided alternative.

7. Chi-square tests are often preferable to two sample z tests because they can test either one-sided or two-sided alternatives.

8. If H0 is false, the chi-square statistic has approximately a χ2 distribution with (r-1)(c-1) degrees of freedom.

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Basic Statistics: The degrees of freedom for a chi-square test on a two-way
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