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BUSINESS STATISTICS - MTH222/2 Spring 2025
Course
Hieu Thi Hoang Nguyen
For information about registration please contact our admissions.
See in Resources folder
Here is the course outline:
1. Lecture 1 (Introduction to Business Statistics & Data organization, tables, graphs, charts)
Feb 1
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2. Lecture 2: Numerical descriptive measures (part I)
Feb 8
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3. Lecture 3: Numerical descriptive measures (part II)
Feb 15
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4. Lecture 4: Using Excel for data analysis
Feb 22
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5. Lecture 5: Probability and probability distributions (I)
Mar 1
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6. Lecture 6: Probability and probability distributions (II)
Mar 8
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7. Midterm
Mar 15
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8. Lecture 7: Linear regression (part I)
Mar 22
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9. Lecture 8: Linear Regression (part II)
Apr 5
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10. Lecture 9: Sampling and sampling distribution, confidence interval estimation
Apr 12
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11. Lecture 10: Hypothesis testing (part I)
Apr 19
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12. Lecture 11: Hypothesis Testing (part II)
Apr 26
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13. Lecture 12: Introduction of Multiple Regression
May 3
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14. Lecture 13: Final project presentation
May 10
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