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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