週次
Week
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課程主題
Topic
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課程內容與指定閱讀
Content and Reading Assignment
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教學活動與作業
Teaching Activities and Homework
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1
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(Sep. 12)
What is Statistics.
Describing Data: Frequency Tables and Distributions, Graphical Presentation
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Chapter 1 and 2
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Lecture
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2
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(Sep. 19)
A Survey of Probability Concepts.
Discrete random variables and probability distributions (Random variable, mean, variance).
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Chapter 4 and 5
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Lecture
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3
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(Sep 26)
Discrete random variables and probability distributions (binomial, hypergeometric and Poisson distributions)
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Chapter 5
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Lecture
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4
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(Oct. 3) Quiz 1
Continuous random variables and probability
distributions (Uniform, normal)
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Chapter 6
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Quiz 1
Lecture
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5
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(Oct. 10)
National holiday
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|
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6
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(Oct. 17)
Continuous random variables and probability
distributions (normal, exponential distributions)
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Chapter 6
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HW
Lecture
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7
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(Oct. 24)
Sampling methods and the Central Limit Theorem (Sampling methods, sampling distribution, the CLT)
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Chapter 7
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HW
Lecture
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8
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(Oct. 31)
One-sample hypothesis tests (One-tailed and two-tailed tests, testing for a population mean)
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Chapter 9
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HW
Lecture
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9
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(Nov. 7)
Midterm Exam
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|
|
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10
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(Nov. 14)
One-sample hypothesis tests (One-tailed and two-tailed tests, testing for a population mean)
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Chapter 9
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HW
Lecture
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11
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(Nov. 21) Quiz 2
More on hypothesis tests (concept, computing power)
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Chapter 9
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Quiz 2
HW
Lecture
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12
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(Nov. 28)
More on hypothesis tests
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Chapter 9
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Lecture
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13
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(Dec. 5)
Estimation and confidence intervals (Point estimation, confidence intervals)
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Chapter 8
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HW
Lecture
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14
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(Dec. 12)
Estimation and confidence intervals (confidence intervals for population mean and proportion, sample size)
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Chapter 8
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HW
Lecture
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15
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(Dec. 19) If we cannot finish Chap 8 on Week 14, we will still have classes in the classroom.
彈性學習周 (online learing)
Describing Data: Numerical Measures (Location and dispersion measures)
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Chapter 3
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video online (videos will be announced on Moodle)
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16
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(Dec. 26)
彈性學習周 (online learing)
Describing Data: Displaying/Exploring Data (Useful plots, measures of position, skewness)
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Chapter 3
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video online (videos will be announced on Moodle) |
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17
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(Jan. 2, 2023)
Final Exam
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18
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(Jan, 9)
Final Exam
Statistical Software Introduction (SPSS or R) (and Real Data Analysis)
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Lecture
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