WGU C784 Applied Healthcare Statistics
Practice Study Exam 2026
Whole numbers - -Numbers that do not contain decimals or fractions
Integers - -Whole numbers and their opposites
Rational numbers - -All positive and negative integers, fractions and decimal numbers.
Real numbers - -Any number that can be placed on a number line. Including numbers
that do not end, and number like pi
A Set - -A collection of numbers
Discrete - -Values that are distinct, separate and unconnected
Continuous - -Values in a set that are connected, without gaps
Quantitative Data - -Consists of data values that are numerical, representing qualities
that can be counted or measured
Categorical data - -Also called qualitative data. Consists of data that are groups, such
as names or labels, and are not necessarily numerical.
Graphical displays - -Visual displays of data sets
Data set - -Any collection of numeric values, such as measurements, observations, or
survey responses
Distribution - -An arrangement of values that illustrates their frequency or occurrence
Pie chart - -A graphical display that shows data in categories as percentages of a circle
Bar chart - -A graph that displays data that is distributed over groups or categories
Relative frequency - -A way to approximate a percentage by dividing the number of
times an event occurred in an experiment by the total number of trials.
Frequency distribution - -A record of the number of times data occurs within a certain
category
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Dot plot - -A graphical representation of data that plots the frequency of data along a
horizontal line
Outliers - -An observation point (number) that is significantly distant from the other
observations in the dataset
Stem plots - -A visual representation of data in which individuals data points are plotted
to the right of a horizontal line, or chart, and the left (the "stem") shows the interval
categories
Box plot - -A graphical rendering of the range and the first and third quartiles of a data
set with the data set's median in between
Measure of central tendency - -A summary measure that is used to describe an entire
set of data with one value that represents the middle or center of the data sets
distribution. There are 3 main measures: mean, median or mode
Histogram - -A graph that displays data through vertical bars that show the counts or
numbers in each range
Shape - -The outline of a set of data displayed on the coordinate axes
Scale - -The relationship between units and their visual representation on a graph
Check sheet - -A structured form or table that allows data to be collected by marking
how often an event has occurred in a certain interval
Guides for histogram - -< 50 divide data into 5-7 intervals
50-100 divide into 6-10 intervals
100-250 divide into 7-12 intervals
>250 divide into 10-20 intervals
Symmetry - -The quality of the data having the same shape on both sides of the mean
Normal distribution - -A comment type of distribution of data points that for a a bell
shaped, symmetrical curve around the mean
Skewed distribution - -A distribution that is not symmetrical but has a greater quantity of
data on one side of the mean
Skewness - -A measure of the degree to which a probability distribution "leans" toward
one side of the average, where the median and mean are not the same
Negatively skewed - -A distribution where the rail on the left of the curve is longer,
indication theta more values are the less than the central or most common value
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