In: Statistics and Probability
_____ 24. State the null and alternative hypotheses. A study was conducted to determine if there is a relationship between fan preference of instant replay use and the sport in which it is applied. The category counts of 102 fans are provided in the two-way table below. Use a Chi-Square independence test to determine if fan preference of instant replay use and the sport in which it is applied are independent at the 5% level of significance. State the null and alternative hypotheses.
favor | oppose | totals | |
football | 19 | 5 | 24 |
baseball | 18 | 6 | 24 |
basketball | 15 | 26 | 41 |
soccer | 5 | 8 | 13 |
totals | 57 | 45 | 102 |
a) 0 : Instant Replay Preference is Independent of Sport : Instant Replay Preference is Dependent of Sport A H H
b) 0 : Instant Replay Preference is Dependent of Sport : Instant Replay Preference is Independent of Sport
Correct option is:
H 0 : Instant Replay Preference is Independent of Sport
Ha Instant Replay Preference is Dependent of Sport
degree of freedom(df) =(rows-1)*(columns-1)= | 3 |
for 3 df and 0.05 level , critical value χ2= | 7.815 |
Decision rule : reject Ho if value of test statistic X2>7.815 |
Applying chi square test of independence: |
Expected | Ei=row total*column total/grand total | Favor | oppose | Total |
football | 13.412 | 10.588 | 24.00 | |
basnball | 13.412 | 10.588 | 24.00 | |
basketball | 22.912 | 18.088 | 41.00 | |
Soccer | 7.265 | 5.735 | 13.00 | |
total | 57.00 | 45.00 | 102.00 | |
chi square χ2 | =(Oi-Ei)2/Ei | Favor | oppose | Total |
football | 2.328 | 2.949 | 5.2778 | |
basnball | 1.570 | 1.9882 | 3.5579 | |
basketball | 2.732 | 3.4606 | 6.1926 | |
Soccer | 0.706 | 0.8943 | 1.6003 | |
total | 7.3361 | 9.2924 | 16.629 | |
test statistic X2 = | 16.629 |
p value = | 0.0008 |
since test statistic falls in rejection region we reject null hypothesis |
we have sufficient evidence to conclude that Instant Replay Preference is Dependent of Sport |