Chapter 3 - Properties of Distributions Flashcards
Central tendency
Number typical of the scores in a distribution
Dispersion
How spread out scores are in a distribution of a quantitative variable
Outliers
Scores the deviate by an unusual amount from the central tendency of a distribution
Range
Difference between largest and smallest scores in a set
Variance
Mean squared deviation from the mean
Deviation score
Difference between a score and the mean of the sample or pop from which it came
Sum of squares
Sum of all squared deviation scores in a sample or population
Sample variance
Sum of squares divided by n-1
Standard deviation
Square root of the variance. Roughly the average distance of scores from the mean
Shape of distribution
How density or frequency changes as a function of the values of the variable
Normal distribution
Skewed distribution
Multimodal distribution
- A unimodal, symmetrical distribution whose cross-section resembles cross-section of a bell. Bell curve
- Asymmetrical distribution.
Right skewed or positively
Left skewed or negatively - More than one peak
Kurtosis
Sharpness of a peak
Mean
Balance point of a distribution
Changing the score changes the mean
Adding or subtracting a constant from each score, the same constant will be added/subtracted from the mean
Multiplying each score by a constant will change the mean the same way
To compute a grand mean, weight the two means by respective n
(n1m1)+(n2m2)/n1+n2
Used with interval, ratio
Median
Not affected by extreme scores Only appropriate measure of CT for nominal variables Good for skewed distributions Not sensitive to outliers Good when data are ordinal Used with ordinal, interval, ratio
Mode
Good for nominal data
Used with nominal, ordinal, interval, ratio