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