Psychology -- Statistics

Standard Deviation

• The square root of the average squared deviations from the mean of scores in a distribution; a measure of variability

• Referring to differences in data sets that are larger than chance variation would predict

• A distribution of scores in which scores are concentrated in the high end of the distribution

• A distribution of scores in which scores are concentrated in the low end of the distribution

Inferential Statistics

• Statistical analysis of two or more sets of numerical data to reduce the possibility of error in measurement and to determine if the differences between the data sets are greater than chance variation would predict

• A number that represents the strength and direction of a relationship existing between two variables

• A distribution of scores in which scores are concentrated in the low end of the distribution

• A distribution of scores in which scores are concentrated in the high end of the distribution

Statistically Significant

• Referring to differences in data sets that are larger than chance variation would predict

• A number that represents the strength and direction of a relationship existing between two variables

Correlation Coefficient

• A number that represents the strength and direction of a relationship existing between two variables

• Referring to differences in data sets that are larger than chance variation would predict

Positively Skewed

• A distribution of scores in which scores are concentrated in the low end of the distribution

• A distribution of scores in which scores are concentrated in the high end of the distribution

Normal Distribution/Curve

• A special frequency polygon, shaped like a bell, in which the scores are symmetrically distributed around the mean, and the mean, median, and mode are all located on the same point on the curve with scores decreasing as the curve extends from the mean

• A distribution of scores in which scores are concentrated in the high end of the distribution

• A distribution of scores in which scores are concentrated in the low end of the distribution

Outliers

• Extreme values in a set of data that may throw off the accuracy of the data set as a whole

• Referring to differences in data sets that are larger than chance variation would predict

• The square root of the average squared deviations from the mean of scores in a distribution; a measure of variability

• A number that represents the strength and direction of a relationship existing between two variables

Scatterplot

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Outlier

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Normal Distribution / Normal Curve

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