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ddbeaumont15 ddbeaumont15
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6 years ago
A sampling distribution is based on the assumption that the independent variable has an effect on the dependent variable.
 
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The binomial distribution is an example of a sampling distribution.
 
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The power of the z test increases with sample variability.
 
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Power and Beta are directly related.
 
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Alpha and Beta are inversely related.
 
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High power is desirable in an experiment.
 
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Increasing N increases the real effect of the independent variable.
 
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If H0 is false, a high level of power increases the probability we will reject it.
 
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In general, Alpha + Beta = 1.
 
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Power + Beta = 1.
 
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cstew94cstew94
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6 years ago
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ddbeaumont15 Author
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6 years ago
Brilliant
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