Frequency distribution
-organizing/summarizing data
-find patterns, trends, outlines
Frequency
number of times an event occurs
Frequency distribution table
table in which the values of a variable are summarized by their frequency of occurrence
Relative proportion
fraction that each value represents out of the total group
Rp equation
frequency/total number of values (N)
Continuous variables
gaps are created between intervals
Midpoint
center of the interval
- add upper and lower limits then divide by two
Interval width
distance between the midpoints
Cumulative frequency
-# of times scores that are within that interval, or smaller intervals appear in the data
-last interval should be equal to sample size
Relative percentage
percent of the data that fall within an interval
Relative percentage equation
(frequency/sample size) x 100
Cumulative percentage
% of total scores that fall within an interval and smaller intervals
Cumulative percentage equation
(cumulative frequency/sample size) x 100
Percentile
percent of scores that fall at or below as particular score
Bar graph
-graph in which rectangles are used to represent frequencies of observations
-discrete variables (nominal and ordinal)
Histogram
graph in which rectangles are used to represent frequencies of observations
-continuous variable (interval and ratio)
Distribution
pattern of the scores in your data
-show symmetry, modality, kurtosis
Symmetrical distribution
has the same shape on both sides of the center (identical)
Skewness
measure of distribution’s asymmetry
Tail
thin, stretched-out part at either end of the curve
- left = negative
- right = positive
Kurtosis
peakedness of a curve
- flat = negative
- peak = positive
Modality
describes the number of meaningful peaks of a distribution