362v - Study guides, Class notes & Summaries
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HLT 362V Topic 3 Discussion 1
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HLT 362V Topic 3 Discussion 1 
Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis. Discuss why this is important in your practice and with patient interactions.
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HLT 362V APPLIED STATISTICS LATEST EXAM WITH RATIONALES 2024
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HLT 362V APPLIED STATISTICS LATEST EXAM WITH RATIONALES 2024HLT 362V APPLIED STATISTICS LATEST EXAM WITH RATIONALES 2024HLT 362V APPLIED STATISTICS LATEST EXAM WITH RATIONALES 2024
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HLT-362V GCU QUIZ week 1
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HLT-362V GCU QUIZ week 1 
Grand Canyon University 
 
HLT-362V Quiz 1 (week 1 quiz) 
 
1.	When a researcher uses a random sample of 400 to make conclusions about a larger population, this is an example of:	Inferential statistics 
 
 
2.	If a study is comparing number of falls by age, age is considered what type of variable?	Ratio 
 
 
3.	Validity is: 
The extent to which an idea or measurement is well-founded and an accurate representation of the real world. 
 
 
4.	Data is defined as: Raw unorga...
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HLT362V Week 3 DQ 1 & Responses Applied Statistics For Health Care Professionals
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HLT-362V Week 3 DQ 1 - Explain when a z-test would be appropriate………. 
Applied Statistics for Health Care Professionals - Hypothesis Testing 
Grand Canyon University 
Explain when a z-test would be appropriate over a t-test. 
Answer 1 
Z-test = Statistical test used to determine whether two 
population means are different when the variances are known and the sample is 
large. 
T-test compares the actual difference between two means in 
relation to the variation in the data Z-test is a stat...
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HLT-362V GCU QUIZ 2 week 3
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HLT-362V GCU QUIZ 2 week 3 
Grand Caynon University HLT-362V Week 3 Quiz 2 
 
1.	If you are conducting a study on the impacts of diet and exercise on high blood pressure and you take a proportional sample based upon race/ethnicity, this would be an example of: Stratified sampling 
 
2.	If a researcher does not select the appropriate level of significance (alpha) based upon prior research or industry standard and concludes that the study found a statistical difference when in fact there was no di...
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HLT 362V Topic 4 Discussion 2
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HLT 362V Topic 4 Discussion 2 
Describe the difference between research and quality improvement. Provide a workplace example where qualitative and quantitative research is applied and how it was used within your organization. When replying to peers, discuss how these research findings might be incorporated into another health care setting.
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HLT 362V applied DQ
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HLT 362V applied DQ
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HLT-362V GCU QUIZ week 1
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HLT-362V GCU QUIZ week 1 
Grand Canyon University 
 
HLT-362V Quiz 1 (week 1 quiz) 
 
1.	When a researcher uses a random sample of 400 to make conclusions about a larger population, this is an example of:	Inferential statistics 
 
 
2.	If a study is comparing number of falls by age, age is considered what type of variable?	Ratio 
 
 
3.	Validity is: 
The extent to which an idea or measurement is well-founded and an accurate representation of the real world. 
 
 
4.	Data is defined as: Raw unorga...
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HLT362V Topic 3 Discussion 2
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HLT362V Topic 3 Discussion 2 
Evaluate and provide examples of how hypothesis testing and confidence intervals are use together in health care research. Provide a workplace example that illustrates your ideas.
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(GCU) NRS-362V Applied Statistics - Final Exam Review 20242025
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(GCU) NRS-362V Applied Statistics - Final Exam Review (GCU) NRS-362V Applied Statistics - Final Exam Review (GCU) NRS-362V Applied Statistics - Final Exam Review (GCU) NRS-362V Applied Statistics - Final Exam Review
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