STA108

Course Description

This course introduces the basic knowledge of statistics and probability, and is divided into five topics; introduction to statistics, descriptive statistics, correlation and regression, introduction to probability and probability distributions. Applications to more general everyday problems towards science and technology will be included in order to provide a broader spectrum to the students and at the same time, develop their interest in the course. Students will be exposed to data analysis and interpretation of statistical software output. They will also have the experience of reporting and presenting the findings on statistical data analysis using the knowledge they have learnt in this course. 

Course Outcomes

At the end of the course, students should be able to:

1) Determine solutions to solve problems related to statistics and probability. (C4)

2) Demonstrate personal skills through enthusiasm of intellectual and self-development in doing statistics tasks. (A3)

3) Demonstrate communication skills with responsive the findings on statistical data analysis. (A3)

Syllabus Content

CHAPTER 1: INTRODUCTION TO STATISTICS

• Definition and Types of Statistics

• Types of Variables and Data

• Introduction to Sampling Techniques

• Introduction to Data Collection Methods

CHAPTER 2: DESCRIPTIVE STATISTICS

• Organizing and Graphing Qualitative Data

• Organizing and Graphing Quantitative Data

• Measures of Central Tendency

• Measures of Position

• Measures of Dispersion

• Measures of Skewness

• 
  

CHAPTER 3: CORRELATION AND REGRESSION

• Scatter Plot

• Correlation Analysis

• Simple Linear Regression Analysis

CHAPTER 4: PROBABILITY

• Set Theory

• Counting Rules

• Additive Rule

• Multiplicative Rule

• Conditional Probability

• Bayes’ Theorem

CHAPTER 5: PROBABILITY DISTRIBUTION

• Random Variable

• Discrete Probability Distribution

• Continuous Probability Distribution