STAT 105_ STATISTICAL METHODS

STATISTICAL METHODS _ STAT 105

Course Description This course introduces fundamental concepts in probability and statistical inference. Topics include discrete and continuous probability distributions, sampling distributions, estimation, hypothesis testing, chi-square tests, correlation, simple linear regression, and one-way analysis of variance. 

Course Objectives

• Understand fundamental concepts of discrete and continuous probability distributions.
• Understand the sampling distributions of sample statistics, including the sample mean, sam ple proportion, and sample variance.
• Apply point and interval estimation methods for population parameters.
• Conduct hypothesis tests for population means, proportions, and variances. 
• Apply chi-square tests for categorical data.
• Analyze and interpret relationships between variables using correlation and simple linear regression.

• Apply one-way analysis of variance to compare multiple population means.

   

Textbooks and References:

• Walpole, R. E., Myers, R. H., Myers, S. L., & Ye, K. (2012). Probability and Statistics for Engineers and Scientists (9th ed.). Pearson Education.
• Devore, J. L. (2015). Probability and Statistics for Engineering and the Sciences (9th ed.). Cengage Learning.

 

Assessment and Exam Information

Midterm I:    25  Marks         (Chapter 1+2)
Midterm II:   25  Marks         (Chapter 3+4)
Final Exam: 40 Marks         (Chapter 5+6+7+8)

Homework:  10 Marks         (Chapters 1–8)