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WGU C784 APPLIED HEALTHCARE STATISTICS Comprehensive Resource To Help You Ace Includes Frequently Tested Questions With ELABORATED 100% Correct COMPLETE SOLUTIONS Guaranteed Pass First Attempt!! Current Update!!

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WGU C784 APPLIED HEALTHCARE STATISTICS Comprehensive Resource To Help You Ace Includes Frequently Tested Questions With ELABORATED 100% Correct COMPLETE SOLUTIONS Guaranteed Pass First Attempt!! Current Update!! 1. In a study on the root causes of medication dispensing errors, the authors included the following data, from interviews, on the cause of mistakes. The most common causes were being busy (28.1%28.1%), being short-staffed (16.8%16.8%), being subject to time constraints (15.2%15.2%), fatigue of healthcare providers (15%15%), interruptions during dispensing (13.4%13.4%) and look alike/sound alike medications (11.5%11.5%). Amery, a healthcare professional doing a presentation on dispensing errors, wanted to convey this data to the department. What display should be used? - ANSWER Pie chart 2. A healthcare professional was researching reported drug use in people 1212 or older for a report they were putting together for their team. In their research, they found a report on the number of people 1212 and older, by state, who used drugs over the past month. The lowest drug use rate was 6.276.27 (Iowa), and the highest was 15.1915.19 (District of Columbia). When presenting the data, they did not want the decimal values to get lost, since they were key to ranking the states by drug use. What display of the drug use rates would you suggest they use? - ANSWER Stem plot 3. To better understand their patients' lifestyles and risks, a healthcare professional who is responsible for intaking patients in the ER of an urban hospital in Oklahoma asked patients with a blood alcohol level of .04.04 or higher to estimate how many alcoholic drinks they typically consume per day. What display should they use to share their data with colleagues? - ANSWER Histogram 4. Regression analysis - ANSWER a statistical tool that quantifies the relationship between a response variable and an explanatory variable 5. When working with two-variable data, if both variables are quantitative, what is the most appropriate choice to display the data? - ANSWER A Scatterplot 6. A strong correlation always explains a cause-and-effect relationship between two variables. True or False? - ANSWER false. A correlation does not prove that one variable causes another. It is possible that both of the variables in question are affected by some other factor, or that one variable is a subset of the other 7. In addition to measuring linear relationships, the correlation coefficient can be used to measure curvilinear and parabolic relationships. True or False? - ANSWER False. The correlation coefficient measures if two variables have a linear relationship with one another. 8. Correlation coefficient is designated by which signs - ANSWER Positive and negative signs The sign of the coefficient, which is either positive or negative, designates the relationship between two variables. 9. Values between −0.3 and 0.3 are considered__________ - ANSWER weak linear correlations 10. Values between −0.7 and −0.3 and between 0.3 and 0.7 are considered ___________ - ANSWER moderate linear correlations 11. Values between −0.7 and −1 and between 0.7 and 1 are considered____________ - ANSWER strong correlations 12. Positive correlation - ANSWER A correlation where as one variable increases, the other also increases, or as one decreases so does the other. Both variables move in the same direction. 13. Negative correlation - ANSWER as one variable increases, the other decreases 14. The strength of a linear relationship between two variables can be measured by the________________ - ANSWER Correlation coefficient 15. Using a line of best fit in slope-intercept form, y=mx+b, what must be true if there is a positive correlation? - ANSWER m must be >0

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Uploaded on
January 6, 2026
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2025/2026
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WGU C784 APPLIED HEALTHCARE
STATISTICS Comprehensive Resource To
Help You Ace 2026-2027 Includes Frequently
Tested Questions With ELABORATED 100%
Correct COMPLETE SOLUTIONS

Guaranteed Pass First Attempt!!

Current Update!!


1. In a study on the root causes of medication dispensing errors, the authors
included the following data, from interviews, on the cause of mistakes. The most
common causes were being busy (28.1%28.1%), being short-staffed (16.8%16.8%),
being subject to time constraints (15.2%15.2%), fatigue of healthcare providers
(15%15%), interruptions during dispensing (13.4%13.4%) and look alike/sound
alike medications (11.5%11.5%). Amery, a healthcare professional doing a
presentation on dispensing errors, wanted to convey this data to the department.
What display should be used?

- ANSWER Pie chart

2. A healthcare professional was researching reported drug use in people 1212 or
older for a report they were putting together for their team. In their research,
they found a report on the number of people 1212 and older, by state, who used
drugs over the past month. The lowest drug use rate was 6.276.27 (Iowa), and the
highest was 15.1915.19 (District of Columbia). When presenting the data, they did
not want the decimal values to get lost, since they were key to ranking the states
by drug use. What display of the drug use rates would you suggest they use?

- ANSWER Stem plot

,3. To better understand their patients' lifestyles and risks, a healthcare
professional who is responsible for intaking patients in the ER of an urban hospital
in Oklahoma asked patients with a blood alcohol level of .04.04 or higher to
estimate how many alcoholic drinks they typically consume per day. What display
should they use to share their data with colleagues?

- ANSWER Histogram

4. Regression analysis

- ANSWER a statistical tool that quantifies the relationship between a
response variable and an explanatory variable


5. When working with two-variable data, if both variables are quantitative, what is
the most appropriate choice to display the data?

- ANSWER A Scatterplot


6. A strong correlation always explains a cause-and-effect relationship between
two variables. True or False?

- ANSWER false. A correlation does not prove that one variable causes
another. It is possible that both of the variables in question are affected by some
other factor, or that one variable is a subset of the other
7. In addition to measuring linear relationships, the correlation coefficient can be
used to measure curvilinear and parabolic relationships. True or False?

- ANSWER False. The correlation coefficient measures if two variables have a
linear relationship with one another.
8. Correlation coefficient is designated by which signs

- ANSWER Positive and negative signs
The sign of the coefficient, which is either positive or negative, designates the
relationship between two variables.

,9. Values between −0.3 and 0.3 are considered__________

- ANSWER weak linear correlations
10. Values between −0.7 and −0.3 and between 0.3 and 0.7 are considered
___________

- ANSWER moderate linear correlations
11. Values between −0.7 and −1 and between 0.7 and 1 are
considered____________

- ANSWER strong correlations

12. Positive correlation

- ANSWER A correlation where as one variable increases, the other also
increases, or as one decreases so does the other. Both variables move in the same
direction.
13. Negative correlation

- ANSWER as one variable increases, the other decreases
14. The strength of a linear relationship between two variables can be measured
by the________________

- ANSWER Correlation coefficient
15. Using a line of best fit in slope-intercept form, y=mx+b, what must be true if
there is a positive correlation?

- ANSWER m must be >0.
16. A study found that increased intake of a particular vitamin showed a decrease
in a particular deficiency. What type of relationship is this?

- ANSWER Negative association
17. Using a line of best fit in slope-intercept form, y=mx+b, which of the following
statements is false if there is a positive correlation?

, - ANSWER As x increases, y decreases.
18. Qualitative Description - Impossible

- ANSWER Quantitative Probability = 0%

19. Qualitative Description - unlikely

- ANSWER Quantitative Probability = < 0%, but > 40%

20. Qualitative Description - As likely as unlikely

- ANSWER Quantitative Probability = 40 % to 60%

21. Qualitative Description - certain

- ANSWER Quantitative Probability = 100%

22. Qualitative Description - likely

- ANSWER Quantitative Probability = < 60% but > 100%

23. Quantitative data

- ANSWER also called numerical data, consists of data values that are
numerical, representing quantities that can be counted or measured.
24. Categorical data

- ANSWER also called qualitative data, consists of data that are groups, such
as names or labels, and are not necessarily numerical
25. Graphical displays for Categorical Data

- ANSWER Pie Charts and Bar charts
26. Graphical displays for Quantitative Data

- ANSWER dot plot, stem and leaf plot, histogram, box plots
27. How does a dot plot show data?

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