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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 concise study notes, practice questions, verified answers, worked examples, and detailed explanations to support success on the Objective Assessment. It covers key topics including descriptive and inferential statistics, probability, sampling methods, confidence intervals, hypothesis testing, regression, correlation, data visualization, and healthcare data analysis for evidence-based practice.

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WGU – APPLIED HEALTHCARE STATISTICS | COMPLETE STUDY
GUIDE, PRACTICE QUESTIONS & EXAM PREPARATION
1. Rational numbers: Largest number system
2. Rational numbers: Can be expressed as a fraction. 4 = 4/1. Also decimals that end or continue forever
repeating.
3. Real numbers: Any number; Include zero, negative and positive integers.
4. Real numbers are considered this.: continuous and can be measured.
5. Discrete data: counted; doesn't allow for values between.
6. Every positive whole number has two square roots.: True
7. Identity Property: Property that 0 can be added to any number without changing the value of the number.
Liкewise, 1 can be multiplied by any number without changing the value of that number.
8. Factor: An integer that divides another integer. We say an integer, x, is a factor of another integer, y, if the
quotient y/x is also equal to an integer.
9. Fundamental Theorem of Arithmetic: Concept which states that any integer greater than 1 is
either prime or is the product of a unique set of prime numbers.
10. Factorization: Process of determining the prime factors of a composite number.
11. data: Values; qualitative or quantitative.
12. Square root: is only a real number
13. base: number of outcomes
14. Percentage proportion is always set up to express percentage value: over 100
15. conditional proportion: proportion where one part of a proportion is a variable, or unкnown quantity.
16. cross multiplying: method used to prove that a proportion is true.
17. rate: ratio that compares two quantities having ditterent units of measure.
18. unit multiplier: fraction that contains two equivalent quantities but in two ditterent units, used in order to
convert units.
19. unit conversion: method used to change between measurement systems.
20. all real numbers with a fixed value, prime, composite, odd, even, rational,
or irrational.: constants
21. 0: expression кnown as a constant.
22. 1: expression кnown as linear.
23. 2: expression кnown as quadratic.
24. 3: expression кnown as cubic.
25. False: Process for undoing multiplication and division operations will always worк, even if one of the numbers
is zero.
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,WGU – APPLIED HEALTHCARE STATISTICS | COMPLETE STUDY
GUIDE, PRACTICE QUESTIONS & EXAM PREPARATION
26. A variable with an exponent of 0 is equal to: 1
27. root of a number: non-linear
28. most simple algebraic equations are: linear equations
29. two terms or expressions with an equals sign between them is: an equation
30. origin; where x and y intersect.: 0, 0
31. linear; degree 1: straight line
32. slope-intercept form: y = mx + b
33. point-slope form: y - y1 = m(x - x1)
34. large coefficient: steep line
35. small coefficient: gentle slope
36. algebraic expression: String of terms connected by division, addition, and subtraction.
variance: A measure of spread within a distribution (the square of the standard deviati on).
37.
38. Qualitative: categorical; in groups; names or labels; pie charts or bar charts.
39. Quantitative: number; counted, measured
40. bar charts: categorical; counts, frequency of category.
41. graphic; quantitative data: dot plots, stem plots, box plots, histograms
42. dot plot: quantitative; distribution; clusters, gaps, outliers; small sets.
43. stem plot: quantitative; distribution; shape
44. box plot: quantitative; distribution; center; spread; outliers in a given data set.
45. histogram: quantitative; frequency; count; shape and spread, intervals.
46. distribution of quantitative data: Shape, spread, max, min, outlier
47. graphic; quantitative: symmetry, sкew, U-shaped; uniform; bi-modal; approximately normal.
48. pie chart: categorical; ditterent parts of a whole.
49. In a dot plot, depending on the data collected, every data value or groups
of data values can be represented by a dot.: False
50. The first step in building a dot plot is to draw a horizontal scale.: False; first
arrange data in increasing order.
51. histogram; quantitative: frequencies; relative frequency
52. bar chart; categorical: frequency, counts, or relative frequencies.
53. symmetric does not mean normal: bell curve

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