Discuss psychological and social research based on numerical data.
Be able to evaluate statistical results of any given research reports.
Transfer probabilistic thinking skills to various problems.
Be able to apply statistical software programs and able to interpret data descriptively.
Evaluate statistical graphs properly.
Mode of Delivery
Face to face
Prerequisites
No
Recommended Optional Programme Components
None
Course Description
The course includes an introduction to probabilistic and statistical techniques for describing data. Topics such as probability, frequency analyses, measures of central tendency and measure of deviation are explained by using computer software. The emphasis is on the effective handling of the data and understanding the basic principles of statistical thinking.
Course Contents
WEEK
TOPICS
1st Week
Introduction and Course Overview
2nd Week
What is Statistics?
3rd Week
Fundamental Concepts of Statistics
4th Week
Frequency distributions
5th Week
Standard deviations & The distribution of scores
6th Week
Confidence Interval & Hypothesis Testing
7th Week
Overall
8th Week
Mid-Term Exam
9th Week
Getting starting with Jamovi
10th Week
Getting starting with Jamovi II
11th Week
Correlation
12th Week
Simple Linear Regression
13th Week
Multiple Regression
14th Week
Question-Answers
15th Week
Overall
Recommended or Required Reading
Jamovi, J. N. & Foxcroft, D. R. (2018). Learning statistics with jamovi. Retrieved from
https://blog.jamovi.org/2018/10/25/learning-statistics-with-jamovi.html
Dancey, C. P., & Reidy, J. (2007). Statistics without maths for psychology. Pearson education.
Planned Learning Activities and Teaching Methods
Lecture
Questions/Answers
Practice
Other
Assessment Methods and Criteria
Quantity
Percentage (%)
Mid-term
1
30
Assignment
6
30
Total(%)
60
Contribution of In-term Studies to Overall Grade(%)
60
Contribution of Final Examination to Overall Grade(%)
