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SouravSeptember 10, 2024

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.

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.

Sourav
SouravSeptember 10, 2024

Answer

Answer: 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.
Explanation: The chi-square test for independence requires expected counts to be at least 5 in each cell to ensure the validity of the test.

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