Hlt 362v week 3 - Study guides, Class notes & Summaries

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HLT-362V GCU QUIZ 2 week 3
  • Exam (elaborations)

    HLT-362V GCU QUIZ 2 week 3

  • 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 GCU QUIZ 2 week 3
  • Exam (elaborations)

    HLT-362V GCU QUIZ 2 week 3

  • 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 GCU QUIZ 2 week 3
  • Exam (elaborations)

    HLT-362V GCU QUIZ 2 week 3

  • 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 GCU QUIZ week 1
  • Exam (elaborations)

    HLT-362V GCU QUIZ week 1

  • 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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HLT-362V GCU QUIZ week 1
  • Exam (elaborations)

    HLT-362V GCU QUIZ week 1

  • 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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HLT-362V GCU QUIZ 2 week 3
  • Exam (elaborations)

    HLT-362V GCU QUIZ 2 week 3

  • 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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HLT362V Week 3 DQ 2 & Responses Applied Statistics For Health Care Professionals HLT362V Week 3 DQ 2 & Responses Applied Statistics For Health Care Professionals
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    HLT362V Week 3 DQ 2 & Responses Applied Statistics For Health Care Professionals

  • HLT-362V Week 3 DQ 2 - Researchers routinely choose an alpha………… Applied Statistics for Health Care Professionals - Hypothesis Testing Grand Canyon University Researchers routinely choose an alpha level of 0.05 for testing their hypotheses. What are some experiments for which you might want a lower alpha level (e.g., 0.01)? What are some situations in which you might accept a higher level (e.g., 0.1)? Answer 1 The significance level (alpha) is the probability of committing a type ...
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HLT-362V GCU QUIZ week 1
  • Exam (elaborations)

    HLT-362V GCU QUIZ week 1

  • 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 HLT362V Week 3 DQ 1 & Responses Applied Statistics For Health Care Professionals
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    HLT362V Week 3 DQ 1 & Responses Applied Statistics For Health Care Professionals

  • 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 week 1
  • Exam (elaborations)

    HLT-362V GCU QUIZ week 1

  • 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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