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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

Intermediate study of statistical techniques for research problems. Analysis of variance, correlation techniques, nonparametric techniques, sampling theory. Extensive use will be made of Personal computers using the SPSS and MINITAB Statistical package to view and analyze data.

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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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Statistical Computing Methods

Teaching And Learning Methodologies:

Teaching and learning methods
Text book
Published works related to the different subjects.
Data show and computer in lectures.
Group discussion

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Statistical Computing Methods

Course Assessment :

Methods of assessment Relative weight % Week No. Assess What

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Statistical Computing Methods

Books:

Book Author Publisher
Contemporary Business Statistics David Anderson South Western
Fundamental of Business Statistics Sweeneey. Williams. Anderson South-Western

Course notes :

Handouts

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