Question 13 2 pts A researcher is conducting a chi-square test for independence to evaluate the relationship between gender and preference for three different designs for a new automobile. Each individual in a sample of n = 30 males and n = 30 females selects a favorite design from the three choices. If the researcher obtains a chi-square statistic of ?² = 4.81, what is the appropriate statistical decision for the test? Null Hypothesis: [Choose] X²(2, n = 30) = 4.81, p > .05 X²(29, n = 300) = 14.81, p < .05 Preference is independent of gender. Preference is related to gender. Alternative hypothesis: State the conclusion: [Choose]
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State the null hypothesis (H0) and alternative hypothesis (H1): H0: Preference is independent of gender. H1: Preference is related to gender. Show more…
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A researcher is conducting a chi-square test for independence to evaluate the relationship between gender and preference for three different designs for a new automobile. Each individual in a sample of n = 30 males and n = 30 females selects a favorite design from the three choices. If the researcher obtains a chi-square statistic of c2 = 4.81, what is the appropriate statistical decision for the test? Reject the null hypothesis with a = .05 but not with a = .01 Reject the null hypothesis with either a = .05 or a = .01 Fail to reject the null hypothesis with either a = .05 or a = .01 There is not enough information to determine the appropriate decision.
Qudsiya A.
A researcher is conducting a chi-square test for independence to evaluate the relationship between gender and preference for three different designs for a new automobile. Each individual in a sample of n = 30 males and n = 30 females selects a favorite design from the three choices. If the researcher obtains a chi-square statistic of x² = 4.81, what is the appropriate statistical decision for the test? Reject the null hypothesis with α = .05 but not with α = .01 Reject the null hypothesis with either α = .05 or α = .01 Fail to reject the null hypothesis with either α = .05 or α = .01 There is not enough information to determine the appropriate decision.
Adi S.
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