A simple random sample of 1,000 United States adults was collected to investigate whether gender and being a coffee drinker are independent. The results are summarized in the table with the expected counts shown in parentheses. Coffe Drinker? Gender Yes No Total Male 191(148.5)299(341.5)490 Female 112(154.5)398(355.5)510 Total 3036971,000 Which statement is true about whether the conditions for the chi-square test for independence have been met?a. All necessary conditions are satisfied to apply a chi-square test for independence between gender and being a coffee drinker. b. The data is not the result of two independent random samples; therefore, the conditions for applying the chi-square test for independence between gender and being a coffee drinker are not met.c. Not all of the expected cell counts are large enough to satisfy the conditions for applying the chi-square test for independence between gender and being a coffee drinker.d. Not all of the observed cell counts are large enough to satisfy the conditions for applying the chi-square test for independence between gender and being a coffee drinker.e. The total sample size is not at least 10 percent of the population of United States adults; therefore, the conditions for applying the chi-square test for independence between gender and being a coffee drinker are not met.

Question

A simple random sample of 1,000 United States adults was collected to investigate whether gender and being a coffee drinker are independent. The results are summarized in the table with the expected counts shown in parentheses. Coffe Drinker? Gender Yes  No  Total  Male 191(148.5)299(341.5)490 Female 112(154.5)398(355.5)510 Total 3036971,000 Which statement is true about whether the conditions for the chi-square test for independence have been met?a. All necessary conditions are satisfied to apply a chi-square test for independence between gender and being a coffee drinker. b. The data is not the result of two independent random samples; therefore, the conditions for applying the chi-square test for independence between gender and being a coffee drinker are not met.c. Not all of the expected cell counts are large enough to satisfy the conditions for applying the chi-square test for independence between gender and being a coffee drinker.d. Not all of the observed cell counts are large enough to satisfy the conditions for applying the chi-square test for independence between gender and being a coffee drinker.e. The total sample size is not at least 10 percent of the population of United States adults; therefore, the  conditions for applying the chi-square test for independence between gender and being a coffee drinker are not met.

varkdrafx9w · Accepted Answer

Chi-square test1. Chi-squarere test of independence used to determine whether two categorical or nominal variables are likely to be related or not.2.when  two categorical variable are present then it is used.Here there are two categorical variable coffee and gender.Hence option A is true

Ciara Hoffman · Accepted Answer

Thanks for answer!

A simple random sample of 1,000 United States

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