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