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Course List

Statistical Computing Methods

  • Course Code :
    MST 267
  • Level :
    Undergraduate
  • Course Hours :
    3.00 Hours
  • Department :
    Faculty of Commerce & Business Administration

Instructor information :

Area of Study :

Inferential Statistics introduces basic information on estimation and testing hypothesis it assumes only basic knowledge of business Statistics Eventually it's an approach for data analysis & decision making helped by computer software using parametric & non parametric statistical techniques. Finally some linear & non linear regression models are introduced.

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Statistical Computing Methods

Course outcomes:

a. Knowledge and Understanding:

1- Understand key inferential concepts so as to have a critical insight into the appropriateness of statistical techniques.
2- Apply with confidence some standard parametric techniques for a wide variety of problems.
3- Make comparisons using ANOVA.
4- Learn some non-parametric statistical techniques.

b. Intellectual Skills:

1- Fitting linear & nonlinear regression models.
2- Focus on presentation of results using suitable statistical software packages.

c. Professional and Practical Skills:

1- Use the Minitab and SPSS packages.
2- Deal with case studies to cover the area of Business & Management.

d. General and Transferable Skills:

1- Self-learning through exercises and worked examples.
2- Work in group to develop technique for problem solving.

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Statistical Computing Methods

Course topics and contents:

Topic No. of hours Lecture Tutorial/Practical
Sampling distribution 4 3 1
Testing hypothesis for two population proportion. 4 3 1
Second Mid Term 4 3 1
ANOVA 4 3 1
Non parametric tests. 4 3 1
Multiple regression models 4 3 1
Revision 4 3 1
Estimations & confidence intervals for one population mean. 4 3 1
Testing hypothesis for one population mean. 4 3 1
Estimations & confidence intervals for one population proportion. 4 3 1
Testing hypothesis for one population proportion. 4 3 1
First Mid Term 4 3 1
Estimations & confidence intervals for two population mean. 4 3 1
Testing hypothesis for two population mean. 4 3 1
Estimations & confidence intervals for two population proportion. 4 3 1

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