362v topic 2 discussion 1 - Study guides, Class notes & Summaries

HLT 362V Topic 1 DQ 1 Discuss the historical application of statistics in the field of health care. Describe an example, other than Florence Nightingale's contributions, where statistical application has greatly influenced or changed health care operations or practice.

HLT 362V Topic3 DQ1 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.

HLT 362V Topic 4 DQ 1 Provide an example of experimental, quasi-experimental, and nonexperimental research from the GCU Library and explain how each research type differs from the others. When replying to peers, evaluate the effectiveness of the research design of the study for two of the examples provided.

HLT 362V Topic 4 DQ 1 Provide an example of experimental, quasi-experimental, and nonexperimental research from the GCU Library and explain how each research type differs from the others. When replying to peers, evaluate the effectiveness of the research design of the study for two of the examples provided.

HLT 362V Topic 5 DQ 1 Describe how epidemiological data influences changes in health practices. Provide an example and explain what data would be necessary to make a change in practice.

HLT 362V Topic 5 DQ 1 Describe how epidemiological data influences changes in health practices. Provide an example and explain what data would be necessary to make a change in practice.

HLT 362V Topic 4 DQ 1 Provide an example of experimental, quasi-experimental, and nonexperimental research from the GCU Library and explain how each research type differs from the others. When replying to peers, evaluate the effectiveness of the research design of the study for two of the examples provided.

HLT 362V TOPIC 2 DISCUSSION 1

HLT 362V Topic 1 DQ 2 Discuss why it is important for a person working in health care to understand statistical concepts. Provide an example of how statistical data is used in your organization or specialty area today and what you are expected to do with this information as a practitioner.