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2025 Fall

Business Statistics - MTH222/1 Fall 2025


Course
Hieu Thi Hoang Nguyen
For information about registration please contact our admissions.

See in Resources folder

Here is the course outline:

1. Introduction to Business Statistics

Description: ● Going through the syllabus, Q&A about the assignments; ● Introduction – Statistics, Statistics in Business, Branches in Statistics and Vocabulary in Statistics. Reading: ● L, ch.1 (DV ch.1+2)

2. DCOVA, Data organization, tables, graphs, charts

Description: ● Introduction – Data types, collection, cleaning, coding ● Organizing and visualizing data Reading: ● L, ch.1 (DV ch.1+2) ● L, ch.2 (DV ch.3+4)

3. Numerical descriptive measures (part I)

Description: ● (P1) Describing data using basic statistical measures ● (P2) Practicing exercises with given data Reading: L, ch.3 Quiz 1 (closed book) about the first 2 weeks

4. Numerical descriptive measures (part II)

Description: ● (P1) Describing data using basic statistical measures ● (P2) Practicing exercises with given data Reading: L, ch.3

5. Probability and probability distributions (I)

Description: ● (P1) Conditional probability ● (P1) Practice exercises with given data Reading: L, ch.4,5 (DV, ch.14,15,16,17) Quiz 2 (closed book) about Numerical descriptive measures

6. Probability and probability distributions (II)

Description: ● (P1) Radom variables, normal distribution ● (P2) Practicing exercises with given data Reading: L, ch.6 Midterm revision materials are provided

7. Midterm

Midterm exam (closed book) covers all contents from week 1 to week 6 calculators will be provided

8. Linear regression (part I)

Description: ● (P1+2) Introducing linear regression – basic theory, how does it work Reading: L, ch.12 (DV, ch.8)

9. Midterm Break

10. Linear regression (II)

Description: ● (P1) Further discussing about linear regression – practical application, creating simple models, reality check ● (P2) Exercise practice Reading: L, ch.12

11. Sampling and sampling distribution

Quiz 3 (close book) about Linear Regression Description: ● Sampling and sampling distribution Reading: L, ch.7+8 (DV, ch.18+19)

12. Confidence interval estimation

Description: ● (P1) Confidence interval estimation ● (P2) Exercise practice Reading: L, ch.7+8 (DV, ch.18+19)

13. Hypothesis testing (I)

Quiz 4 (close book) about Sampling and Confidence interval estimation Description: ● (P1) Introducing hypothesis testing – concept and steps ● (P1) z-test of hypothesis for population mean ● (P2) Exercise practice Reading: L, ch.9

14. Hypothesis Testing (II)

Dec 7

Description: ● (P1) t-test of hypothesis for population mean ● (P2) practicing exercises Reading: L, ch.10 Final exam revision materials are provided

15. Final exam

Final exam (closed book, 1-sided handwritten cheat sheet) covers all contents after midterm

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