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WGU Applied Healthcare Statistics | Complete Study Guide, Practice Questions, Verified Answers & Objective Assessment Review

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This document provides a comprehensive review of WGU Applied Healthcare Statistics (C784), featuring organized study notes, practice questions, verified answers, worked examples, and detailed explanations to help students prepare for the Objective Assessment. It covers essential topics including descriptive statistics, probability, sampling methods, confidence intervals, hypothesis testing, regression, correlation, data visualization, inferential statistics, and healthcare data analysis for evidence-based practice.

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WGU APPLIED HEALTHCARE STATISTICS | COMPLETE STUDY
GUIDE, PRACTICE QUESTIONS & EXAM REVIEW
1. whole numbers: Numbers that do not contain decimals or fractions
2. Integers: Whole numbers and their opposites
3. rational numbers: All positive and negative integers, fractions and decimal numbers.
4. Real numbers: Any number that can be placed on a number line. Including numbers that do not end, and
number liкe pi
5. A Set: A collection of numbers
6. Discrete: Values that are distinct, separate and unconnected
7. Continuous: Values in a set that are connected, without gaps
8. Quantitative Data: Consists of data values that are numerical, representing qualities that can be counted
or measured
9. Categorical data: Also called qualitative data. Consists of data that are groups, such as names or labels,
and are not necessarily numerical.
10. Graphical displays: Visual displays of data sets
11. data set: Any collection of numeric values, such as measurements, observations, or survey responses
12. Distribution: An arrangement of values that illustrates their frequency or occurrence
13. Pie chart: A graphical display that shows data in categories as percentages of a circle
14. Bar chart: A graph that displays data that is distributed over groups or categories
15. 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.
16. frequency distribution: A record of the number of times data occurs within a certain category
17. Dot plot: A graphical representation of data that plots the frequency of data along a horizontal line
18. Outliers: An observation point (number) that is significantly distant from the other observations in the dataset
19. 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
20. 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
21. 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
22. Histogram: A graph that displays data through vertical bars that show the counts or numbers in each range
23. Shape: The outline of a set of data displayed on the coordinate axes
24. Scale: The relationship between units and their visual representation on a graph
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