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11 Cards in this Set

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Statistics
The science of data; numerical indexes calculated from data sets and used to characterize (describe) and or draw conclusions (infer)
Two Types of Conclusions from statistics
1)Differences between groups
2)Associations among variables.
Descriptive Statistics
1)Mean
2)Median
3)Mode
Mean
Average-most greatly affected by high outling data
Median
50th percentile with half the other scores above the figure and half the other scores below it. Must have at least an interlval level to do this. This is the prefered method to show skewed tendancy; mean is more greatly affected by high outlining data.
Mode
The most frequently occuring peice of data
Description/Variability Methods
1)Range
2)Variance
3)Standard Deviation
Range
Represents the highest value of data minus the lowest value of data. The area within which all the data lies.
Variance
A measure of spread. The averaged square deviation from the mean. Subtract each score from the mean of all scores, square that number, add all those squared numbers together, and then divide by the total number of scores.
Standard Deviation
The most frequently used measure of spread. Average squared deviation unsquared. Basically, the square root of the variance.
Adjectives Used for Characterizing the Shape of Distributions
1)Unimodal
2)Symmetrical
3)Unsymmetrical
4)Skewed
5)Bimodal