Probability and Statistics (Fall 2023, Section 01)

MWF: 10:00 am - 10:50 am, SH 107

General Information

To access the assignments, please follow my instructions sent by email.  

LibreTexts: Introductory Statistics 

Past Exams

Summer 2023 (13 students): Average: 76.13%; Median: 80.75%

Summer 2023 (13 students): Average: 74.71%; Median: 79.92%

Summer 2023 (13 students): Average: 68.24%; Median: 72.77%

Summer 2023 (13 students): Average: 72.56%; Median: 73.83%

Schedule

Please be aware that any number of unforeseen circumstances can cause a schedule to become inaccurate. Thus, you should not rely on this schedule. It is your responsibility to pay attention to, and adhere to, changes announced by email, or via LMS. 

Class Handouts and References


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Introduction: Why to learn Statistics? (YouTube Videos)

You will find lots of such educational videos on social medias. 

Chapter 1

1.1 Statistical and Critical Thinking

1.2 Types of Data

1.3 Collecting Sample Data

Chapter 2

2.1 Frequency Distributions for Organizing and Summarizing Data

2.2 Histograms (by publisher)

2.3 Graphs That Enlighten and Graphs That Deceive (by publisher)

2.4 Scatterplots, Correlation, and Regression (by publisher)

Chapter 3

3.1 Measure of Center

3.2 Measure of Variation

3.3 Measure of Relative Standing and Boxplots

Chapter 4

4.1 Basic Concepts of Probability

4.2 Addition Rule and Multiplication Rule

4.3 Complements and Conditional Probability and Baye's Theorem

4.4 Counting

Chapter 5

5.1 Probability Distributions

5.2 Binomial Probability Distributions

5.3 Poisson Probability Distributions

Chapter 6

6.1 The Standard Normal Distribution

6.2 Real Applications of Normal Distributions

6.3 Sampling Distribution and Estimators

6.4 The Central Limit Theorem

6.5 Assessing Normality

6.6 Normal as Approximation to Binomial

Chapter 7

7.1 Estimating a Population Proportion

7.2 Estimating a Population Mean

7.3 Estimating a Population Standard Deviation or Variance

Chapter 8

8.1 Basics of Hypothesis Testing

8.2 Testing a Claim About a Proportion 

8.3 Testing a Claim About a Mean

8.4 Testing a Claim About a Standard Deviation or Variance

Chapter 9

      9.1 Two Proportions

9.2 Two Means: Independent Samples

9.3 Two Dependent Samples (Matched Pairs)

Chapter 10

      10.1 Correlation

10.2 Regression

10.3 Rank Correlation                                      

Class Feedback

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Attendence Tracking

I've switched to a digital attendance tracking system for better accuracy! You can now keep an eye on your attendance record and see how it accumulate. There are five codes: "Present", "Explained Absence", "Unexplained Absence" (which will dock points), "Late", and "Early Leaver". While we're only counting unexplained absences against your grade, please aim to be on time and stay for the whole class. And hey, if you spot any mistakes in your record, let us know right away, preferably within a week. 

MATH 256-01 Attendence Fall 2023