Week+11_Analyzing+data

Week+11_Analyzing+data - are reported when you have some...

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Now that you have data, what do you do with it? Week 11
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Why interpretation matters Already discussed how numbers carry authority Also, instrumental and symbolic value How we interpret data can therefore have: Policy; Ethical; and Research-related consequences
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Measures of Central Tendency : Measures that describe the center point of a distribution of quantitative data. Mean : a.k.a., “average” Median : a.k.a., “middle point” Mode : a.k.a., most frequently occurring
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1, 3, 3, 5, 5, 5, 7, 7, 9 What is the mean, median, and mode of these numbers? Mean : Add them up and divide by the total number of responses: 1+3+3+5+5+5+7+7+9 = 45/9 = 5 Median : Find number that is in the middle: 5 Note: Odd total number means there will be one number in the middle Mode : Which number appears most often = 5
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When do you report them? You will report means most often ~ E.g., to report the average number of hours participants spent online yesterday Medians Medians  (  ( Md Md  or   or  Mdn Mdn ) )     are reported when you have 
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Unformatted text preview: are reported when you have some extremely high or extremely low values that some extremely high or extremely low values that might affect your mean might affect your mean ~ ex: Income ~ ex: Income Modes Modes (or frequencies) are generally (or frequencies) are generally reported with nominal data reported with nominal data Measures of Dispersion Measures that report how far a set of scores are spread around the center point of the data and across the distribution. #1: Range : distance between highest and lowest scores in a distribution Ex: 6, 2, 1, 3, 5, 9, 8, 9, 11 Highest number? Lowest number? Distance between them? #2: Standard Deviation (SD): How much the scores in a set of data vary from the mean ( interval or ratio level data only ) The size of the standard deviation tells us how dispersed the scores are: Low SD= Low dispersion High SD= High dispersion...
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This note was uploaded on 11/11/2011 for the course COMMUNICAT Comm 300 taught by Professor Katz during the Spring '11 term at Rutgers.

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Week+11_Analyzing+data - are reported when you have some...

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