Course: Inferential Statistics in Decision-Making
Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of "Inferential Statistics in Decision-Making " have been applied, or could be applied, in a practical manner to your current work environment. If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study.
Provide a 500 word (or 2 pages double spaced) minimum reflection.
Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited.
Share a personal connection that identifies specific knowledge and theories from this course.
Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment.
You should NOT, provide an overview of the assignments assigned in the course. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace.
Assume you are working in the IT company and write how Inferential Statistics in Decision-Making course will help you in your Job.
DSRT 734 − Inferential Statistics in Decision-making (3 hours) This course focuses on the descriptive and inferential statistics commonly used in organizational administration. Course activities include the application of statistical methods to research design, as well as an investigation of how these methods can contribute to school improvement. Specific concepts include measures of central tendency and variability, probability theory, estimation and significance, and correlation and regression.
Upon completion of this course:
Students will describe the essential characteristics of quantitative research.Students will apply inferential statistical tests on problems requiring parametric and non-parametric analyses.Students will identify potential research designs for various problems.Students will analyze statistical information in the professional literature on a topic related to their own research project.
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