- What is the difference between parametric and nonparametric procedures?
- Consider a research question or issue that you would like to investigate specific to your own field and discuss why nonparametric procedures would be appropriate.
- Based on your response to question number 2, consider which nonparametric test would be the most appropriate to use and why.
- Thinking about your field of study, write a minimum of 1 paragraph discussing how statistics is relevant to your field of study. Be sure to include one relevant concept covered in this class and explain specifically how that concept relates to your field of study by providing a specific example of how it could be used. ( be sure to tie this to our course specifically. Rather be specific as to HOW I would use data and mention something specific. For example, I would use a t test for means to determine if online students have higher averages than on-ground students. Or I would use linear regression equations to predict the final grades of students based on their first 4 grades in the course.
Parametric tests rely on statistical distributions in data, whereas nonparametric tests do not depend on any distribution. Parametric tests assume certain parameters and distributions are known about a population, whereas nonparametric tests do not make any assumptions (Salkind, 2020). A research question I would like to consider would be the effectiveness of different methods of sleep-aide in patients that suffer from mild cases of insomnia. Would the use of prescribed medications, such as Ambien or Lunesta, be more effective or the use of essential oils or OTC Melatonin be more effective as a long-term treatment for mild insomnia.The test I would use would be the Mann-Whitney U test for this comparison. This test is used to compare two samples (Prescribed Meds vs OTC/Herbal supplements for insomnia) that come from the same population (patient’s that suffer from mild insomnia) and used to test whether two sample means are equal or not (was one method more effective long term, who benefited more from which sample). This semester I have learned a lot from this statistics course, and how relevant it is in the medical field. During this semester I was able to see how there are different forms of tests that can be used to conclude studies with mathematical proof, survey studies or tests to implement a concrete conclusion. For example, looking at this section, the Mann-Whitney U test is used to test whether 2 samples are equal or not. This can be used to test the effectiveness of medical treatments, medications, and preferences.
Salkind, N. J. (2020). Statistics for people who (think they) hate statistics (7th.). Sage Publications, Inc.
- Do you agree with the concepts expressed?
- Is there something that needs clarification?
- Can you support what your colleague posted?
- Challenge your colleagues to a different view or deeper insight.