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Descriptive & Inferential Statistics
Knowledge ManagementAngela Davidson, Tamara Schantz
PSY/315February 11, 2016
William Arden
Agenda
• Describe the function of statistics in Knowledge Management through governance
• Define Descriptive Statistics
• Define Inferential Statistics
• Review example of descriptive & inferential statistics in Knowledge Management
Function of Statistics in Knowledge Management
• To measure and evaluate the effectiveness and efficiency of Knowledge Management strategy implementation.
• To reveal the value from, or the return on investment of Knowledge Management strategy development and implementation.
Descriptive StatisticsA statistical technique that produces a number or figure that summarizes or describes a set of data. The basic idea is that a descriptive statistic summarizes a set of data with one number or graph ("University Of Northern Iowa", 2015).
• Measures of central tendency• Mean• Median• Mode
• Measure distribution• Identify range• Identify Variables
Descriptive Statistics in Knowledge Management
• Risk management
•Measure, Evaluate, and Review
• Evaluate the success and obstacles
Inferential StatisticsA method that takes chance factors into account when samples are used to reach conclusions (or make inferences about) populations ("University Of Northern Iowa", 2015).
• Population• Measure mean and variable• Observes data collected• Summarizes variability
• Hypothesis• Predictions/Judgements about
population
Inferential Statistics in Knowledge Management
• Decisions
• Predictions
• Assumptions
• Forecasts
Relationship Between Descriptive & Inferential Statistics
Relationship Between Descriptive & Inferential Statistics
Conclusion
• Knowledge management uses descriptive statistics to evaluate a wide range of data such as interpersonal, social-technical, and technical modes developed from organizations. Evaluation considers both successes and obstacles to the implementation of strategy (Zynigier, S. 2011). Qualitative and quantitative measurements were used to establish the size, quality, quantity, and perceived satisfaction (Zynigier, S. 2011).
• Knowledge management uses inferential statistics to continue to change and evolve, organizations, corporations, businesses, and agencies of authority make decisions or predictions for groups or department as a result of the data collected.
References
Privitera, G. J. (2016). Essential statistics for the behavior sciences. Retrieved from https://phoenix.vitalsource.com/#/books/9781483353012/cfi/6/28!/4/2/4@0:0.
University of Northern Iowa. (2015). Retrieved from
http://www.uni.edu/~hitlan/techniques.htm
Zyngier, S. (2011). Knowledge Management: Realizing Value through Governance. International Journal of Knowledge Management (IJKM), 1(7), 35-54. doi:10.4018/jkm.2011010103