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

HLT 362V Week 3 DQ 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.

Evaluate and provide examples of how hypothesis testing and confidence intervals are used together in health care research. Provide a workplace example that illustrates your ideas.

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 ...

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...

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...

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...

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...

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...

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 unorganized information from which conclusion...

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...