People Innovation Excellence


Learning Outcomes:

Upon completion of this course, students are expected to be able to: Explain basic techniques in hypothesis testing more than two samples; Explain basic techniques in chi square test; Explain basic techniques in correlation and regression analysis; Utilize the interpretation of statistical analysis result in decision making; Utilize statistical software to run and analyze data.


The topics covered in this course include inferences about population; comparing multiple proportions, test of independence and goodness of fit; One Way ANOVA; simple linear regression; residual analysis; multiple regression, determination, prediction and variables; time series analysis and forecasting; non-parametric methods. The use of statistical software using SPSS is introduced and encouraged in order to better present the data summary and automate statistical calculations.

Pre-requisite(s): None

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