A study reported by the Women’s Health Initiative gives the
following values for the occurrence of breast cancer in women. All
women in the study were between 50 and 79 years of age. 19,541
women were randomly assigned to a low-fat diet, and 29,294 were
assigned to a control group which ate a normal diet. After 8 years,
655 of the low-fat diet group had developed breast cancer, and 1072
of the women in the control group had developed breast cancer.
- Create both in symbolic form and in a sentence the null
hypothesis that should be used to determine if there is a
difference between the two diet groups in the proportions of women
who developed breast cancer.
- Create both in symbolic form and in a sentence the
alternative hypothesis that should be used to
determine if there is a difference between the two diet groups in
the proportions of women who developed breast cancer.
- Calculate the sample proportion,
pL(^ symbol on
top) , of women on the
low-fat diet who later developed breast cancer,
and calculate the sample proportion,
pN(^ symbol on
top), of women on the normal
fat diet who later developed breast cancer.
- Calculate the sample difference in proportions,
pL-pN
.
- Calculate the pooled proportion, p(line on
top) , of women who developed breast cancer.
- Calculate the standard error, σ, of the
sampling distribution for differences in sample proportions.
- Calculate the z-score for your sample difference in part d.,
and use normalcdf() to calculate the p-value for this
sample difference.
- Using a significance level of 1% = 0.01, should we reject or
fail to reject the null hypothesis?
- Write your conclusion from part h. in a way that a
non-statistics person would understand