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Cards In This Set
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Correlated Samples
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Dependent Variable must be interval or ratio and the samples must be correlated.
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Mean
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Arithmetic average of raw scores. Takes all of the information into account. *Interval/Ratio
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Sum of Squares(SS)
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Sum of the squared deviations of raw scores from the mean.
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In the assumptions of pearson r both variables are ____ or ____ level of measurement.
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Interval or Ratio
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Variance(S2)
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The average squared deviation of raw scores from the mean.
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Z-score
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Number of standard deviation units a raw score lies from the mean.
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Kurtosis
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How tall and peaked or how short and flat a distribution is in relation to the normal distribution.
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Beta
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The probability of making a type two error.
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Correlational Statistics
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Describes the strength & direction of a relationship using a correlation coefficient. Makes predictions about one variable based on the prediction using a regression line. Forecasts the amount of predictions using the standard error of estimate.
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Standard Deviation(S)
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The average deviation of raw scores from the mean.
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Central Tendency
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When scores tend to be more numerous around the middle of a distribution. Measures include: Mode, Median, & Range
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Mode
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Most common category, rank, or score. Based soley on frequency information. (Nominal, Ordinal, Interval, & Ratio)
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Descriptive Statistics
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Used to condense, summarize, & describe sets of data and characteristics of distributions.
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Index of Forecasting Efficientcy(E)
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Proportion of guessing error eliminated when using the regression error to make predictions. 1-/1-r2
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Coefficient of Alienation(K)
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Proportion of guessing error remaining in predictions made with a regression equation. /1-r2
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