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 | 8 | 37 | 45 |
Do Not Drink Wine | 12 | 43 | 55 |
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)RejectDo not reject H0. Conclude that whether a person drinks wine and whether a person watches tennis are (Click to select)DependentIndependent events.
a)
Row 1 | 45% |
Row 2 | 55% |
Column 1 | 20% |
Column 2 | 80% |
b)
Watch | Do Not | |
Tennis | Watch Tennis | |
Drink Wine | 8% | 37% |
18% | 82% | |
40% | 46% | |
Do Not Drink Wine | 12% | 43% |
22% | 78% | |
60% | 54% |
c)
Applying chi square test:
Ei=row total*column total/grand total | watch | do not | Total |
drink | 9.00 | 36.00 | 45 |
do not drink | 11.00 | 44.00 | 55 |
total | 20 | 80 | 100 |
=(Oi-Ei)2/Ei | watch | do not | Total |
drink | 0.1111 | 0.0278 | 0.139 |
do not drink | 0.0909 | 0.0227 | 0.114 |
total | 0.202 | 0.051 | 0.2525 |
X2 = 0.253
tDo not reject H0. Conclude that whether a person drinks wine and whether a person watches tennis are Independent events.
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