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About this Course

38 students enrolled
5 instructors

Course Description

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

Course Learning Outcomes

1 ) Describe appropriate concepts and methods to solve problems related to statistical methods.
2 ) Demonstrate lifelong learning skills in assignments related to statistical methods.
3 ) Illustrate solutions to problem related to statistical methods.

Course Details

STATUS : Open
DURATION : FLEXIBLE
EFFORT : 3 hours per week
MODE : 100% Online
COURSE LEVEL : Beginner
LANGUAGE : English
CLUSTER : Science & Technology ( ST )

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Syllabus

The role of statistics
Type of statistics (Descriptive and inferential)
Statistical methods in research process (Definition and function) Research process
Levels of measurement

Population and sample
Parameter and Statistic
Sampling distribution for mean and the difference between two means The Central Limit Theorem
Sampling distribution for proportion and difference between two proportions Introduction to chi-square, t and F distribution

Point Estimation and Interval Estimation
Definition and properties
Confidence interval for a single mean and proportion
Confidence interval for the difference between two means
Confidence interval for variance and ratio of two variances
Determination of sample size

Definitions of basic terms
Hypothesis testing procedure
Type I error and Type II error
Testing for a single mean, proportion and variance
Testing for the difference between mean and proportions
Testing for the ratio between two variances
Classical versus p-value approach
Using one-way ANOVA to compare more than two means

Sign Test
Wilcoxon Signed-Rank Test
Wilcoxon Rank Sum Test/Mann Whitney
Chi-square test of independence