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Respondents Sex Statistic Std. Error 6.33 5.12 7.54 4.85 2.00 90.364 9.506 EmailHrsiperWeek Male Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis 615 Lower Bound Upper Bound 50 50 2.658 7.585 5.93 4.98 6.88 4.57 2.00 78.924 8.884 157 314 485 Female Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Lower Bound Upper Bound 50 50 2.675 7.834 133 265

2) Based on the statistics values computed above and on the shape of the distribution, which statistics would you use to summarize the center of the data and why?

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Answer #1

since the data is skewed and mean is greater than median

so, Median will better represent the center of the data

for skewed data, mean is not good as outliers may present in skewed data that lead to greater mean which is not good measure of center of data

so, Median will be used

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