Com 300 4.13

Com 300 4.13 - Com 300 4.13.10 Notes: For detailed notes on...

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Com 300 4.13.10 Notes: For detailed notes on standard deviation, visit SAKAII for power points that are posted. How to calculate dispersion (Continued) Need to get the average of the unsquared deviation of all scores from the mean: 50/12-4 Square root of 4=2 (Standard Deviation) Standard Deviation -Standard Deviation allows us to make generalizations about the wider population when we draw from a sample -It calculates the probability that our generalizations are accurate Z Scores! -Z scores - The z represents the distance between a raw score and the population mean in units of the standard deviation. Z is negative when the raw score is below the mean, positive when above. -Provides direction & distance from the mean in standard deviation units -This tells us whether a score is above or below the mean (with standard deviation calculation we don’t get pluses and minuses) -PLUS! It allows you to compare results from two or more different measures (apples and oranges comparison) Formula = z = (x - μ ) σ The variables in the z score formula are: Z= z-score X= raw score or observation to be standardized/normalized μ = mean of the population σ = standard deviation of the population Example of a z score calculation
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This note was uploaded on 12/10/2011 for the course COM 300 taught by Professor Finnerty during the Spring '08 term at Pepperdine.

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Com 300 4.13 - Com 300 4.13.10 Notes: For detailed notes on...

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