Parametric inferential statistical tests require that the underlying populations come from normal distributions.
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If there is an interaction between two independent variables there has to also be at least one main effect.
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The coefficient of determination is the correlation coefficient squared.
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A correlation coefficient of -1.0 indicates that there is no relationship between two variables.
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A positively accelerated function is said to approach an asymptote.
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A learning curve having a steep initial increase followed by a gradual leveling out is a negatively accelerated curve.
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A negative function occurs when a decrease in the independent variable causes a decrease in the dependent variable.
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Drawing a histogram requires levels of the independent variable that fall on at least an ordinal scale.
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The dependent variable is usually plotted on the ordinate.
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About two-thirds of the scores fall between one standard deviation below and above the mean.
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