(Western Governors University) – Objective
Assessment Study Material and Practice Q&A
What is the greatest common factor of 24 and 84 using prime
factorization?
A. 2
B. 4
C. 8
D. 12 -Answer:-D. 12
Negative Number -Answer:-A number whose value is less than
zero. On the number line, negative numbers are to the left of
zero.
Numerator -Answer:-The number that is written before the
slash, or above the fraction bar, in a fraction.
Slope -Answer:-The number that describes the direction and
steepness of a line drawn on the coordinate plane. It is
measured by 'rise over run'. Rise/Run = (the change in y
value) / (the change in x value) = (y2-y1)/(x2-x1).
,Statistics -Answer:-The science that deals with the
interpretation of numerical facts or data through theories of
probability. Also, the numerical facts or data themselves.
Conditional Percentages -Answer:-A way to approximate a
percentage by dividing the number of times an event occurred
in an experiment by the total number of respondents in that
row or column. See Relative Frequency.
Hypothesis Test -Answer:-A statistical test that tells us
whether a result is significant.
Disjoint -Answer:-Two events which both cannot occur at the
same time.
What is 3/14 - 1/7?
A. 1/14
B. 2/7
C. 5/14
D. 3/2 -Answer:-A. 1/14
, Whole Number -Answer:-A number whose value is 0 or greater
(negative number are not considered whole numbers) and can
be represented without a fractional or decimal component.
Cross Multiplying -Answer:-A method used to prove that a
proportion is true.
Addition Principle of Equality -Answer:-The fact that we can
add the same number to both sides of an equation, and the
result will be an equivalent equation.
Dot Plot -Answer:-A graphical representation of data that plots
the frequency of data along a horizontal line.
Independent Variable -Answer:-The variable that may be the
cause of some result, or is presented as the variable that offers
an explanation. Also called an explanatory variable.
Regression Equation -Answer:-An equation used to model the
relationship between the response and explanatory variables
in a regression.