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Ch. 2 – Means to an End<br />BEH383 – Week 1<br />
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Key Terms<br />Measures of central tendency (averages):<br />Mean<br />Median<br />Mode<br />
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Mean<br />Most common type of average<br />Calculated by adding all of the values up and then dividing the total by the number of values<br />M is typically the symbol for mean, n is typically the symbol for sample size<br />
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Mean<br />To calculate the mean, you add 2150 to 1534 to 3564 and divide the sum by 3 (n = 3)<br />The mean is 2416<br />
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Weighted Mean<br />When you have multiple occurrences of the same value in a data set<br />Calculated as (value x frequency)/total frequency<br />
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Weighted Mean<br />To calculate the weighted mean, divide (total value x frequency) by (total frequency)<br />The weighted mean is 89.67 <br />
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Median<br />The median is simple the middle value when all values are arranged from highest to lowest<br />In the data set, half (50%) of the values should fall above the median and half should fall below<br />When there are an even number of values, the median is the mean of the two middlemost values<br />
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Median<br />For odd-numbered data sets, select the middle value<br />For even number data sets take the mean of the two middle values<br />The median for the first data set is $42537.<br />The median for the second data set is $42447.<br />
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Mean VS. Median<br />Q: Why use the median as a measure of central tendency?<br />A: Median is not sensitive to extreme scores (outliers)<br />
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Mean VS. Median<br />The mean for this data set is $50056.<br />The median is $42537.<br />
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Mode<br />Mode is, very simply, the most frequently occur piece of data in the set<br />In this data set, the mode is Brown hair<br />
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