Outliers = i and i Drop the outliers and recalculate the mean and median. Mean = i Median = i Which of these two summary measures changes by a larger amount when you drop the outlier: c. Which is the better summary measure for these data, the mean or the median? Explain.

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The following data set lists the number of women from each of 10 different countries who were on the Rolex Women's World Golf
Rankings Top 25 list as of March 31, 2009. The data, entered in that order, are for the following countries: Australia, Brazil, England,
Japan, Korea, Mexico, Norway, Sweden, Taiwan, and the United States.
2 1 1 2 9 1 1 2 2 4
a. Calculate the mean and median for these data set.
Мean %3D
i
Median =
i
b. Identify the outliers in this data set. Write your answers in ascending orders.
Outliers =
i
and i
Drop the outliers and recalculate the mean and median.
Mean =
i
Median =
i
Which of these two summary measures changes by a larger amount when you drop the outliers?
c. Which is the better summary measure for these data, the mean or the median? Explain.
The
is a better measure because it
as sensitive to the outliers as the other one.
Transcribed Image Text:Question 6 of 7 > -/1 E View Policies Current Attempt in Progress The following data set lists the number of women from each of 10 different countries who were on the Rolex Women's World Golf Rankings Top 25 list as of March 31, 2009. The data, entered in that order, are for the following countries: Australia, Brazil, England, Japan, Korea, Mexico, Norway, Sweden, Taiwan, and the United States. 2 1 1 2 9 1 1 2 2 4 a. Calculate the mean and median for these data set. Мean %3D i Median = i b. Identify the outliers in this data set. Write your answers in ascending orders. Outliers = i and i Drop the outliers and recalculate the mean and median. Mean = i Median = i Which of these two summary measures changes by a larger amount when you drop the outliers? c. Which is the better summary measure for these data, the mean or the median? Explain. The is a better measure because it as sensitive to the outliers as the other one.
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