## A–F

- acute angle
An angle whose measure is between

and . is an acute angle. - arithmetic mean
The arithmetic mean is also known as the average. The arithmetic mean between two numbers will be the number that is the same distance from each of the numbers. It is found by adding the two numbers and dividing by

. The arithmetic mean of several numbers is found by adding all of the numbers together and dividing by the number of items in the set:

Example: Find the arithmetic mean of

- arithmetic sequence
The list of numbers

represents an arithmetic sequence because, beginning with the first term, , the number has been added to get the next term. The next term in the sequence will be ( ) or . The number being added each time is called the constant difference (

). The sequence can be represented by a recursive equation.

In words:

Name the

. Using function notation:

An arithmetic sequence can also be represented with an explicit equation, often in the form

where is the constant difference and is the value of the first term. The graph of the terms in an arithmetic sequence are arranged in a line.

- associative property of addition or multiplication
See properties of operations for numbers in the rational, real, or complex number systems.

- asymptote
A line that a graph approaches, but does not reach. A graph will never touch a vertical asymptote, but it might cross a horizontal or an oblique (also called slant) asymptote.

Horizontal and oblique asymptotes indicate the general behavior of the ends of a graph in both positive and negative directions. If a rational function has a horizontal asymptote, it will not have an oblique asymptote.

Oblique asymptotes only occur when the numerator of

has a degree that is one higher than the degree of the denominator. - average rate of change
See rate of change.

- bimodal distribution
A bimodal distribution has two main peaks.

The data has two modes.

See also: modes.

- binomial
A polynomial with two terms.

- bivariate data
Deals with two variables that can change and are compared to find relationships. If one variable is influencing another variable, then you will have bivariate data that has an independent and a dependent variable (ordered pairs). This is because one variable depends on the other for change.

- box and whisker plot (box plot)
A one-dimensional graph of numerical data based on the five-number summary, which includes the minimum value, the

percentile , the median, the percentile , and the maximum value. These five descriptive statistics divide the data into four parts; each part contains of the data. Boxplots can be vertical or horizontal.

- categorical data or categorical variables
Data that can be organized into groups or categories based on certain characteristics, behavior, or outcomes. Also known as qualitative data.

- causation
Tells you that a change in the value of the

variable will cause a change in the value of the variable. - center (statistics)
A value that attempts to describe a set of data by identifying the central position of the data set (as representative of a “typical” value in the set). Measure of center refers to a measure of central tendency (mean, median, or mode)

- change factor (pattern of growth)
A change factor is a multiplier that makes each dependent variable grow (or sometimes decrease) as the independent variable increases. Sometimes called the growth factor.

In a geometric sequence it is the common ratio.

In an exponential function it is the base of the exponent.

- common ratio (r) (constant ratio)
The change factor or pattern of growth (

) in a geometric sequence. To find it divide any output by the previous output. Example:

is a geometric sequence. Output

Input

The common ratio is

- commutative property of addition or multiplication
See properties of operations for numbers in the rational, real, or complex number systems.

- compound inequality in one variable
A compound inequality contains at least two inequalities that are separated by either “and” or “or.”

an inequality that combines two inequalities either so that a solution must meet both conditions (and

) or that a solution must meet either condition (or ).

Examples:

can be written as (The value of

in this set must meet both conditions, and , which is the same as ) can be written as which is the same as (The value of

in this set may meet either condition ) - compound inequality in two variables
The graph of a compound inequality in two variables with an “and

” represents the intersection of the graph of the inequalities. A number is a solution to a compound inequality combined with the word “and” if the number is a solution to both inequalities. (where the regions overlap). In a system of inequalities, the word “and” is implied because the solution set must work in each equation. If the inequalities were combined using “or” the solution would be all of the shaded area.

See feasible region and solution set for a system.

- constant difference (d) (common difference)
Difference implies subtraction: common difference, constant difference, equal difference refer to the same thing. In an arithmetic sequence it is the constant amount of change. To find the difference select any output and subtract the previous output.

Example:

is an arithmetic sequence. Output

Input

The constant difference is:

or - constraint
A restriction or limitation

- continuous function/discontinuous function
A function is considered continuous if its graph does not have any breaks or holes.

A function can be continuous on an interval.

A discontinuous function is a function that is not a continuous curve. When you put your pencil down to draw a discontinuous function, you must lift the pencil from the page to continue drawing the graph at least once before it is complete. The image shows a function that is discontinuous, even though the domain is continuous on the interval that is shown.

- correlation
The extent to which two numerical variables have a linear relationship. A correlation gives you a number r, (the correlation coefficient) which can range from -1.00 to 1.00. Zero correlation means there is no relation between two variables. A correlation of 1.00 (either + or -) means perfect correlation.