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Central Tendency and Variability Chapter 4 Central Tendency > Mean: arithmetic average • Add up all scores, divide by number of scores > Median: middle score > Mode: most common score Calculating the Mean > Add up all scores > Divide by number of scores X X N Calculating the Median > Line up the scores in ascending order > Find the middle number • For an odd number of scores, just find the middle value. • For an even number of scores, divide number of scores by two. • Take the average of the scores around this position. Calculating the Mode > Line up the scores in ascending order. > Find the most frequent score. > That’s the Mode! > Do measures of central tendency capture the following slide adequately? Figure 4-4: Bipolar Disorder and the Modal Mood Outliers and the Mean > An early lesson in lying with statistics • Which central tendency is “best”: mean, median, or mode? Figure 4-6: The Mean without the Outlier Which Measure of Central Tendency is the Best? > The mean is most commonly used – best for symmetric distributions > The median is best for a skewed distribution or one with outlier(s), > The mode is used in 3 cases: • One particular score dominates a distribution • Distribution is bimodal or multimodal • Data are nominal Measures of Variability > Range • From the lowest to the highest score > Variance • Average square deviation from the mean > Standard deviation • Variation from the sample mean Calculating the Range > Determine the highest score > Determine the lowest score > Subtract the lowest score from the highest score Range xHighest xLowest 10 1 9 Calculating the Variance > Subtract the mean from each score > Square every deviation from the mean > Sum the squared deviations > Divide the sum of squares by N SD 2 (X M ) N 2 Calculating the Standard Deviation > Typical amount the scores vary or deviate from the sample mean • This is the square root of variance SD (X M ) N 2 Practice Problem > Age of Classmates? • Calculate the mean, median, mode, standard deviation, and the variance for the age of the members of your class. Interquartile Range > Measure of the distance between the 1st and 3rd quartiles. > 1st quartile: 25th percentile of a data set > The median marks the 50th percentile of a data set. > 3rd quartile: marks the 75th percentile of a data set Calculating the Interquartile Range Countries’ top finishes in the World Cup omitting countries with a score of 0 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 4, 6, 8, 10