Solution:-
(A) Test of independence.
State the hypotheses. The first step is to state the null hypothesis and an alternative hypothesis.
Null hypothesis: There is no difference between football fans and basketball fans on their likelihood of being superstitious.
Alternative hypothesis: There is difference between football fans and basketball fans on their likelihood of being superstitious. .
Formulate an analysis plan. For this analysis, the significance level is 0.05. Using sample data, we will conduct a chi-square test for homogeneity.
Analyze sample data. Applying the chi-square test for homogeneity to sample data, we compute the degrees of freedom, the expected frequency counts, and the chi-square test statistic. Based on the chi-square statistic and the degrees of freedom, we determine the P-value.
DF = (r - 1) * (c - 1) = (2 - 1) * (2 - 1)
D.F = 1
Er,c = (nr * nc) / n
Χ2 = 0.80
Χ2Critical = 3.838
where DF is the degrees of freedom, r is the number of populations, c is the number of levels of the categorical variable, nr is the number of observations from population r, nc is the number of observations from level c of the categorical variable, n is the number of observations in the sample, Er,c is the expected frequency count in population r for level c, and Or,c is the observed frequency count in population r for level c.
The P-value is the probability that a chi-square statistic having 1 degrees of freedom is more extreme than 0.80.
We use the Chi-Square Distribution Calculator to find P(Χ2 > 0.80) = 0.371.
Interpret results. Since the P-value (0.371) is greater than the significance level (0.05), we failed to reject the null hypothesis.
(A) Retain the null hypothesis, that there is no difference between football fans and basketball fans on their likelihood of being superstitious.
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