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### 22 Cards in this Set

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 Tail -definition- The end of the distribution that has the fewest number of scores Positively Skewed -definition- When the scores cluster at the left end (0, origin) of the distribution Negative Skewed -definition- When the scores cluster at the right end of the distribution Is there a way to get an idea of the amount of skewness? If so, how? Yes. Compare the median with the mean. Estimating amount of skewness -explanation- Positive = mean LARGER than median Negative = mean smaller than median Closer skewness is to zero... The closer distribution is to being symmetical Markedly Skewed -definition- When a skewness value is greater than 1.0 or smaller than -1.0 Moderately (Slightly) Skewed -definition- When a skewness is greater than zero, but less than 1 A distribution is Not normal if... the ratio of skewness to standard error is greater than 2.0 or less than -2.0 Platykurtic -definition- Large standard deviation with spread making graph spread out and flat Leptokurtic -definition- small standard deviations that leave graph with tall peaked curves Mesokurtic -definition- normal, bell-shaped distribution Kurtosis of mesokurtic is... near zero Kurtosis of playkurtic is... values smaller than -1.0 Kurtosis of leptokurtic is... values greater than +1.0 z-curve/z-score -alternate names- 1)Standard normal distribution 2)Standard score z-score -definition- Converting a raw score from a normal distribttion to a score in a standardized normal distibution z-score allows us to do 4 things... 1)determine exact proportion of scores fall between any 2 scores 2)how a score relates to other scores 3)compare scores 4) estimate probability of an event z-score -calculation- (Raw score - Mean) ------------------- Standard deviation If a score is Larger than the mean... The z-score will be + If a score is smaller than the mean... the z-score will be negative To determine the percentage of a score in relation to the whole, you should... 1)Calculate the z-score 2)Use a table to determine the percentage 3) Add 50.0 if you want the percentage under a score and Subtract from 50.0 to determine the percentage above the score