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H-SC MATH 121 - Lecture 15 - Measuring Center

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Measuring CenterMeasuring the CenterSlide 3Slide 4Mean, Median, and ModeSlide 6Slide 7Slide 8Slide 9The Median vs. The MeanThe MeanSlide 12Slide 13Slide 14Slide 15The MedianSlide 17Slide 18Slide 19Slide 20Slide 21TI-83 – The MeanCase Study 8Slide 24Slide 25Slide 26Slide 27Slide 28TI-83 – The MedianSlide 30The ModeModeWeighted MeansSlide 34Slide 35Lecture 15Sections 5.1 – 5.2Mon, Feb 11, 2008Measuring CenterMeasuring the CenterOften, we would like to have one number that that is “representative” of a population or sample.It seems reasonable to choose a number that is near the “center” of the distribution rather than in the left or right extremes.But there is no single “correct” way to do this.Measuring the CenterMean – the simple average of a set of numbers.Median – the value that divides the set of numbers into a lower half and an upper half.Mode – the most frequently occurring value in the set of numbers.Measuring the CenterIn a unimodal, symmetric distribution, these values will all be near the center.In skewed distributions, they will be spread out.Mean, Median, and ModeIf a distribution is symmetric, then the mean, median, and mode are all the same and are all at the center of the distribution.Mean, Median, and ModeHowever, if the distribution is skewed, then the mean, median, and mode are all different.Mean, Median, and ModeHowever, if the distribution is skewed, then the mean, median, and mode are all different.The mode is at the peak.ModeMean, Median, and ModeHowever, if the distribution is skewed, then the mean, median, and mode are all different.The mean is shifted in the direction of skewing.ModeMeanMean, Median, and ModeModeMedianMeanHowever, if the distribution is skewed, then the mean, median, and mode are all different.The median is (typically) between the mode and the mean.The Median vs. The MeanIf the data are strongly skewed, then the median is generally to give a more representative value.If the data are not skewed, then the mean is usually preferred.The MeanWhy is the average usually a good measure of the center?If we have only two numbers, the average is half way between them.What if we have more than two numbers?The mean balances the “deviations” on the left with the “deviations” on the right.The Mean1 2 3 4 5 6 7 8 109The Mean1 2 3 4 5 6 7 8 109AverageThe Mean1 2 3 4 5 6 7 8 109Average-2-5The Mean1 2 3 4 5 6 7 8 109Average-2-5+1+2+4The Median1 2 3 4 5 6 7 8 109The Median1 2 3 4 5 6 7 8 109MedianThe Median1 2 3 4 5 6 7 8 109Median-3-6The Median1 2 3 4 5 6 7 8 109Median+1+3-3-6The MeanWe use the letter x to denote a value from the sample or population.The symbol  means “add them all up.”So,  x means add up all the values in the population or sample (depending on the context).Then the sample mean isnxThe MeanWe denote the mean of a sample by the symbolx, pronounced “x bar”.We denote the mean of a population by , pronounced “mu” (myoo).Therefore,NxnxxTI-83 – The MeanEnter the data into a list, say L1.Press STAT > CALC > 1-Var Stats.Press ENTER. “1-Var-Stats” appears.Type L1 and press ENTER.A list of statistics appears. The first one is the mean.Case Study 82007 Small Arms Study (p. 47)Find the average number of guns per country for India, China, Germany, France, and Pakistan.Is the value representative of the group?Then include the U.S. and compute the average for the six countries.Is the value representative of the group?The Median1 2 3 4 5 6 7 8 109The Median1 2 3 4 5 6 7 8 109MedianThe MedianMedian – The middle value, or the average of the middle two values, of a sample or population, when the values are arranged from smallest to largest.The median, by definition, is at the 50th percentile.It separates the lower 50% of the sample from the upper 50%.The MedianWhen n is odd, the median is the middle number, which is in position (n + 1)/2.When n is even, the median is the average of the middle two numbers, which are in positions n/2 and n/2 + 1.Case Study 82007 Small Arms Study (p. 47)Find the median number of guns per country for India, China, Germany, France, and Pakistan.Is the value representative of the group?Then include the U.S. and compute the median for the six countries.Is the value representative of the group?TI-83 – The MedianFollow the same procedure that was used to find the mean.When the list of statistics appears, scroll down to the one labeled “Med.” It is the median.TI-83 – The MedianUse the TI-83 to find the median number of guns.46, 40, 25, 19, 18.46, 40, 25, 19, 18, 270.The ModeMode – The value in the sample or population that occurs most frequently.The mode is a good indicator of the distribution’s central peak, if it has one.ModeThe problem is that many distributions do not have a peak or they have several peaks.In other words, the mode does not necessarily exist or there may be several modes.Weighted MeansFor the countries India, China, Germany, France, and Pakistan, the average number of guns per country is 29.6 million. For Mexico and Brazil, the average is 15.4 million.What is the average for all seven countries?Weighted MeansThe averages areIndia, et al: x1 = 29.6.Mexico & Brazil: x2 = 15.4.How could we combine the two averages to get the average for all seven countries?Weighted MeansCompute the weighted average:7)4.15(2)6.29(5


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H-SC MATH 121 - Lecture 15 - Measuring Center

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