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BUSINESS STATISTICS - MTH222/1 Spring 2025
Course
Hieu Thi Hoang Nguyen
See in Resources folder
Here is the course outline:
1. Lecture 1 (Introduction to Business Statistics & Data organization, tables, graphs, charts)
Feb 5
● Going through the syllabus, Q&A about the assignments; ● (P1) Introduction – Data types, collection, cleaning, coding ● (P2) Organizing and visualizing data |
2. Lecture 2: Numerical descriptive measures (part I)
Feb 12
● (P1) Describing data using basic statistical measures ● (P2) Practicing exercises with given data |
3. Lecture 3: Numerical descriptive measures (part II)
Feb 19
● (P1) Describing data using basic statistical measures ● (P2) Practicing exercises with given data Assignment 1: First look – analysis of given data, presentation, and charts (descriptive measures) - Released Assignment 1 (deadline in week 5) |
4. Lecture 4: Using Excel for data analysis
Feb 26
● Quiz 1 (MCQs, closed book) ● (P1+2) Using basic and advanced Excel tools to analyze data |
5. Lecture 5: Probability and probability distributions (I)
Mar 5
● (P1) Quiz 1 correction and Basic probability ● (P1) Conditional probability ● (P1) Practice exercises with given data Assignment 1: First look – analysis of given data, presentation, and charts (descriptive measures) – deadline of submission in NEO |
6. Lecture 6: Probability and probability distributions (II)
Mar 12
● (P1) Radom variables, normal distribution ● (P2) Practicing exercises with given data ● Midterm revision materials are provided |
7. Midterm
Mar 19
(closed book) calculators will be provided |
8. Midterm Break
Mar 26
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9. Lecture 7: Linear regression (part I)
Apr 2
● (P1+2) Introducing linear regression – basic theory, how does it work |
10. Lecture 8: Linear Regression (part II)
Apr 9
● (P1) Further discussing about linear regression – practical application, creating simple models, reality check ● (P2) Exercise practice |
11. Lecture 9: Sampling and sampling distribution, confidence interval estimation
Apr 16
● Quiz 2 (MCQs, close book) ● (P1) Sampling and sampling distribution ● (P2) Confidence interval estimation |
12. Lecture 10: Sampling and sampling distribution, confidence interval estimation (II)
Apr 23
● (P1) Quiz 2 correction and Confidence interval estimation ● (P2) Exercise practice |
13. Lecture 11: Hypothesis testing (part I)
Apr 30
● Quiz 3 (MCQs, close book) ● Introducing hypothesis testing – concept and steps ● z-test of hypothesis for mean and proportion |
14. Lecture 12: Hypothesis Testing (part II)
May 7
● Quiz 3 correction ● z-test of hypothesis for mean and proportion ● t-test of hypothesis for mean and proportion ● practicing exercises ● Final exam revision materials are provided |
15. Final exam
May 14
(closed book, 1-sided handwritten cheat sheet) calculators will be provided |