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27 February, 20:26

A seven-year medical research study reported that women whose mothers took the drug DES during pregnancy were twice as likely to develop tissue abnormalities that might lead to cancer as were women whose mothers did not take the drug. a. This study involved the comparison of two populations. What were the populations? b. Do you suppose the data were obtained in a survey or an experiment? c. For the population of women whose mothers took the drug DES during pregnancy, a sample of 3980 women showed 63 developed tissue abnormalities that might lead to cancer. Provide a descriptive statistic that could be used to estimate the number of women out of 1000 in this population who have tissue abnormalities. d. For the population of women whose mothers did not take the drug DES during pregnancy, what is the estimate of the number of women out of 1000 who would be expected to have tissue abnormalities? e. Medical studies often use a relatively large sample (in this case, 3980). Why?

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  1. 27 February, 21:21
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    16 women per 1 000

    Step-by-step explanation:

    The data was likely to be obtained from a survey. The question states how the information was gathered - most probably from questionnaires.

    c. A simple model will be 16 women per 1 000 women. Proportion has been taken into account here.

    Let 63 correspond with those that are going to get cancer out of 3980. The women have 63/3980 chance of getting cancer.

    For 1 000 women that will be 1000/3980 * (63) = 16

    Therefore the probability of a person getting cancer is 16 per 1 000 Ans

    e. Large samples are essential to ensure that the results are representative of the actual population. In addition, large samples reduce inherent errors from deviations. Furthermore, useless data can be discarded and the remaining data still represent the actual population size. Lastly, large amounts of data are easy to scale up and use to develop models.
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