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Unformatted text preview: Click to edit Master subtitle style Short refresher of statistical The Mean
Arithmetic average of scores in a distribution The scores need to be at least at least intervalscale The mean is the central point in a dataset with a normal distribution Standard deviation
Square root of the variance Variance is the mean of the squared deviations about the n Between the MeanSD mean and Mean+SD lays about 68.2% of the distribution
n Between the Mean 2xSD and Mean+2xSD lays about 95.4% of The Median
The median is the point on a scale of measurement below which 50% of the scores fall (also called the 50th percentile). To find the median: > Rank order the measures from low to high > Count the number of measures and add one. > Divide by 2 => the measure at the (N+1)/2place is the median. > When N is even. The median it is the value halfway the two measures in the middle of the series. (N+1)/2 Correlation What are the approximate R2 values for these plots? ...
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 Spring '11
 gemmert
 Standard Deviation, Master subtitle style, Variance Variance

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