A recent study of undergraduates looked at gender differences in dieting trends. There were 182 women and 108 men who participated in the survey. The table below summarizes whether a student tried a low-fat diet or not by gender:
Gender | ||||
---|---|---|---|---|
Tried low-fat diet | Women | Men | ||
Yes | 36 | 9 | ||
No |
(a) Fill in the missing cells of the table.
Gender | ||||
---|---|---|---|---|
Tried low-fat diet | Women | Men | ||
Yes | 36 | 9 | ||
No |
(b) Summarize the data numerically. What percent of each gender has
tried low-fat diets? (Round your answers to two decimal
places.)
women | % |
men | % |
(c) Test that there is no association between gender and the
likelihood of trying a low-fat diet. (Round your
χ2 to three decimal places, and round your
P-value to four decimal places.)
χ2 | = | |
df | = | |
P-value | = |
Summarize the results.
There is strong evidence at the 5% level that gender and the likelihood of trying a low-fat diet are related.There is no evidence at the 5% level that gender and the likelihood of trying a low-fat diet are related.
a)
Oi | Women | Men |
Yes | 36 | 9 |
No | 146 | 99 |
b)
women | 19.78% |
men | 8.33% |
c)Applying chi square test:
Expected | Ei=row total*column total/grand total | Women | Men | Total |
Yes | 28.24 | 16.76 | 45 | |
No | 153.76 | 91.24 | 245 | |
total | 182 | 108 | 290 | |
chi square χ2 | =(Oi-Ei)2/Ei | Women | Men | Total |
Yes | 2.1315 | 3.5920 | 5.723 | |
No | 0.3915 | 0.6597 | 1.051 | |
total | 2.523 | 4.252 | 6.775 |
X2 =6.775
df =1
p value =0.0092
There is strong evidence at the 5% level that gender and the likelihood of trying a low-fat diet are related.
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