20 terms

Chapters 1-4 : Gravetter and Wallnau
Chapters 1 - 3: Simpson

Measure of central tendency when distribution is normal and data is at least at an interval level of measurement.

Arithmetic mean

Measure of variability when distribution is normal and data is at least at an interval level of measurement.

Standard deviation

Measure of central tendency when distribution is skewed and unimodal and/or data is at an ordinal level of measurement.

Median

Measure of variability when distribution is skewed and unimodal.

Interquartile range

Measure of variability to report when one calculates a mean.

Standard deviation

Measure of variability found by squaring a standard deviation.

Variance

Approximate percentage of scores found within the range of one standard deviation of a mean

34% + 34% = 68%

Approximate percentage of scores found within the range of two standard deviations from the mean

95%

Examples of measures of central tendency

Mean, median mode

Examples of measures of variability

Range, interquartile range, standard deviation, variance

Middle-most score in an ordered distribution of scores

P.50

Interquartile range

P.25 to P.75

Simple Range

Lowest to highest score

Mu

Mean of a population

Examples of descriptive statistics

measures of central tendency and measures of variability; graphs; tables

Examples of inferential statistics

t; F, Chi-Square

Statistically significant results

Unlikely NOT to be replicated; probability of failing to replicate being less than 5 in 100.

Percentile rank

Percentage of scores falling below a given score.

Mode

Most frequently occurring score or category.

Stem

Stem

Stem and leaf display

Exploratory descriptive data analysis procedure developed by John Tukey to impose order on a set of scores without 9as is the case with a grouped frequency distribution) losing the identity of the individual scores).