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Quartiles
Values that divide a data set into four equal parts
Categorical Variable
Take on values that are names or labels
Quantitative Variable
They represent a measurable quantity
Discrete Variables
Assume values that can be counted (cannot take on any value)
Continuous
Can take on any value between its maximum value and its minimum value
Univariate Data
Data with one variable
Bivariate Data
Data with two variables, or pairs of numerical observations
Median
The middle score in a distribution; half the scores are above it and half are below it
Mean
The arithmetic average of a distribution, obtained by adding the scores and then dividing them by the number on scores
Outlier
A data point that diverges greatly from the overall pattern of data
Range
The difference between the highest and lowest scores in a distribution
Variance
Standard deviation squared, a numerical value used to indicate how widely individuals in a group vary
Standard Deviation
The square root of the variance, a numerical value used to indicate how widely individuals in a group vary
Histogram
Stemplot
Boxplot
Interquartile Range
The difference between the upper quartile and the lower quartile
Unimodal
Having one mode; this is a useful term for describing the shape of a histogram when it’s generally mound-shaped
Bimodal
Two peaks
Bar Chart