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22 Cards in this Set

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The end of the distribution that has the fewest number of scores
Positively Skewed
When the scores cluster at the left end (0, origin) of the distribution
Negative Skewed
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?
Compare the median with the mean.
Estimating amount of skewness
Positive = mean LARGER than median
Negative = mean smaller than median
Closer skewness is to zero...
The closer distribution is to being symmetical
Markedly Skewed
When a skewness value is greater than 1.0 or smaller than -1.0
Moderately (Slightly) Skewed
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
Large standard deviation with spread making graph spread out and flat
small standard deviations that leave graph with tall peaked curves
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
-alternate names-
1)Standard normal distribution
2)Standard score
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
(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