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About this Course

91 students enrolled
5 instructors

Course Description

This course is intended to provide the students with basic principles of selected parametric statistical methods and the skills to apply them in research. Knowledge and skills using statistical packages such as Excel, SPSS, MINITAB, SAS and others are also emphasized.

Course Learning Outcomes

1 ) Describe good problem solving skills using statistical packages such as Excel, SPSS, MINITAB, SAS and
2 ) Perform a project report based on the application of statistical methods
3 ) Explain the theory and application of statistical methods

Course Details

STATUS : Open
DURATION : FLEXIBLE
EFFORT : 4 hours
MODE : 100% Online
COURSE LEVEL : Intermediate
LANGUAGE : English
CLUSTER : Science & Technology ( ST )

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Syllabus

1.1 The role of statistics
1.2 Type of statistics (descriptive and inferential)
1.3 Level of measurement
1.4 Statistical method in research (definition and purpose)
1.5 Research process

2.1 Population and sample
2.2 Sampling distribution (single mean and the difference between two means (Central Limit Theorem), single proportion and the difference between two proportion, single variance and ratio of two variances)

3.1 Point estimation (properties of good estimators)
3.2 Interval estimation (single mean and difference between two means, single proportion and the difference between two proportions, single variance and ratio of two variances)
3.3 Determination of sample size

4.1 Parametric and non-parametric approach (definition, scope and assumption)
4.2 Steps involved in the testing of hypothesis
4.3 One-tailed and two-tailed test
4.4 Type I error and type II error
4.5 Test concerning (single mean and the difference between two means, single proportion and the difference between two proportions, single variance and ratio of two variances)
4.6 Classical versus p-value approaches
4.7 Comparing more than two population means

5.1 Contingency tables
5.2 Chi-square test of independence