The number that occurs most often in a set of data

Back

Q1

Front

the lower quartile

Back

Median

Front

The middle number in a set of numbers that are listed in order

Back

IQR

Front

Q3-Q1

Back

Bivariate Data

Front

Data involves two variables. For Example: Is there a relationship between the number of skateboards a freshman owns and his/her final test score in Algebra 1?

Back

standard deviation

Front

Shows how much variation (dispersion, spread, scatter) from the mean exists. It represents a "typical" deviation from the mean.

Back

outlier

Front

A value much greater or much less than the others in a data set

Back

two-way frequency table

Front

A way to organize and compare two sets of data

Back

Standard Deviation Formula of a Sample Size

Front

Back

Standard Deviation Formula for a entire Population

Front

Back

Univariate Data

Front

Data is only one variable. For example: How many students in the freshman class own a skateboard?

Back

Range

Front

Distance between highest and lowest scores in a set of data.

Back

quantitative

Front

Data that is numbers based. For example, height, weight, area, volume, etc.

Back

Q3

Front

the upper quartile

Back

Mean

Front

Average
(Add all the scores and divide by the number of scores)

Back

skewed right

Front

there are higher outliers pulling the data to the right

Back

Variance

Front

Measures how far a set of data is spread out. A variance of zero indicates that all of the data values are identical. All non-zero variances are positive.

Back

box plot

Front

A graphical summary of data based on a five-number summary

Back

line plot

Front

A method of visually displaying a distribution of data values where each data value is shown as a dot or mark above a number line. Also known as a dot plot.

Back

histogram

Front

A graph of vertical bars representing the frequency distribution of a set of data.

Back

skewed left

Front

there are lower outliers pulling the data to the left

Back

qualitative

Front

Data in the form of words. For example, eye color, smells, texture, models, taste, etc.