A marketing research firm wishes to study the relationship
between wine consumption and whether a person likes to watch
professional tennis on television. One hundred randomly selected
people are asked whether they drink wine and whether they watch
tennis. The following results are obtained:
Watch Tennis |
Do Not Watch Tennis |
Totals | |
Drink Wine | 6 | 50 | 56 |
Do Not Drink Wine | 14 | 30 | 44 |
Totals | 20 | 80 | 100 |
(a) For each row and column total, calculate the corresponding row or column percentage.
Row 1 | % |
Row 2 | % |
Column 1 | % |
Column 2 | % |
(b) For each cell, calculate the corresponding
cell, row, and column percentages. (Round your answers to
the nearest whole number.)
Watch Tennis |
Do Not Watch Tennis |
||
Drink Wine | Cell= % | Cell= % | |
Row= % | Row= % | ||
Column= % | Column= % | ||
Do Not Drink Wine | Cell= % | Cell= % | |
Row= % | Row= % | ||
Column= % | Column= % | ||
(c) Test the hypothesis that whether people drink wine is independent of whether people watch tennis. Set α = .05. (Round your answer to 3 decimal places.)
χ2χ2 =
(Click to select)Do not rejectReject H0. Conclude that whether a person drinks wine and whether a person watches tennis are (Click to select)IndependentDependent events.
a)
Row 1 | 56.00% | ||
Row 2 | 44.00% | ||
Column 1 | 20.00% | ||
Column 2 | 80.00% |
b)
watch | do not | |
drink | 6% | 50% |
11% | 89% | |
30% | 63% | |
do not | 14% | 30% |
32% | 68% | |
70% | 38% |
c)
Expected | Ei=row total*column total/grand total | Watch | Do not | Total |
drink | 11.200 | 44.800 | 56 | |
do not drink | 8.800 | 35.200 | 44 | |
total | 20 | 80 | 100 | |
chi square χ2 | =(Oi-Ei)2/Ei | Watch | Do not | Total |
drink | 2.4143 | 0.6036 | 3.0179 | |
do not drink | 3.0727 | 0.7682 | 3.8409 | |
total | 5.4870 | 1.3718 | 6.8588 | |
test statistic X2 = | 6.859 |
Reject H0.
Conclude that whether a person drinks wine and whether a person watches tennis are Dependent events.
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