Please note that the official course website is on Canvas (log in with CNetID), NOT here. This webpage is for those who are interested in STAT 23400 to get an idea of what the course is like.

Should I Take STAT 23400?

Prerequisites: 3-qtr of Calculus (MATH 133 or 153 or 183 or 162)

Please read the web pages Choosing Your Intro-Stat Course for comparisons among them.

In particular, see http://www.stat.uchicago.edu/~yibi/IntroStat/courseComparison.html for the comparisons STAT 220 v.s 234 and STAT 234 v.s. STAT 244-245.

Consult Yibi () if you’re interested the Statistics major or minor

Textbooks

Course Schedule and Slides

Week Date Slides Content Textbook Coverage
Math Review Exercises and Solutions
1 M, 9/29 L01_02.pdf Syllabus; Probability, Sample Space, Events, Set Theory 2.1
1 W, 10/1 L01_02.pdf Probability Axioms and Rules; Counting Methods: Permutation, Combination 2.2-2.3
1 F, 10/3 L03.pdf Conditional Probability, General Multiplication Rule, Bayes Rule 2.4
2 M, 10/6 L03.pdf Bayes Rule, Independence 2.4-2.5
2 M, 10/6 L04_05.pdf Discrete Random Variables, Bernoulli, Binomial 3.1, 3.2, 3.5
2 W, 10/8 L04_05.pdf Bernoulli, Binomial, Geometric, Negative Binomial, Hypergeometric, Poisson Distributions 3.5, 3.6, 3.7
2 F, 10/10 L04_05.pdf Poisson Distributions 3.6
2 F, 10/10 L06_07.pdf Expected Values of Discrete Random Variables 3.3-3.4
3 M, 10/13 L06_07.pdf Expected Values and Variance of Discrete Random Variables (Skip Moment Generating Functions) 3.3-3.4
3 W, 10/15 L08.pdf Continuous Random Variables, PDF, CDF 4.1
3 F, 10/17 L09_10.pdf Uniform, Exponential, Gamma, Normal Distributions; Expected value, variance, and SD of Continuous Random Variables. 4.2, 4.3, 4.4
4 M, 10/20 L09_10.pdf PDF & CDF of \(Y=aX+b\); Normal Probability & Percentile Calculation 4.3
4 W, 10/22 L11.pdf Joint and Marginal Distributions; Independent Random Variables 5.1
4 F, 10/24 L12.pdf Expected Value of Functions of Two Random Variables, Covariance 5.2
5 M, 10/27 L12.pdf Covariance and Correlation 5.2
5 M, 10/27 L13.pdf Linear Combinations of Random Variables 5.3
5 W, 10/29 L13.pdf Variance of Linear Combinations of Random Variables 5.3
5 W, 10/29 L14.pdf Sum of Random Variables 5.3
5 F, 10/31 L14.pdf Sum of Indep Normal Random Variables 5.3
5 F, 10/31 L15.pdf Central Limit Theorem 6.1-6.2
6 M, 11/3 Midterm Exam. No lecture
6 W, 11/5 L15.pdf Central Limit Theorem 6.1-6.2
6 W, 11/5 L16.pdf Random Sample = i.i.d Random Variables if the Sample is a tiny part of the Population, Histogram 1.4, 1.1
6 F, 11/7 L16.pdf Sample Variance
6 F, 11/7 L17.pdf Overview of Confidence Intervals 8.1
7 M, 11/10 L18.pdf Confidence Intervals Based on t-Distributions; Confidence Interval for Proportion 8.1-8.3
7 W, 11/12 L19.pdf General Framework of Hypothesis Testing 9.1, 9.4
7 F, 11/14 L20.pdf Hypothesis Tests About a Population Proportion; One-Sided & Two-Sided Tests 9.3
8 M, 11/17 L21.pdf t-tests for a Population Mean; Two-Sample Tests of Means 9.2, 10.1, 10.2
8 W, 11/19 L22.pdf Two-Sample Tests of Means; Analysis of Paired Data 10.1-10.2
8 F, 11/21 L22.pdf Paired Data Part 2 10.3
8 F, 11/21 L23.pdf Comparing Two Proportions 10.4
Thanksgiving Break. No Class (11/24-28)
9 M, 12/1 L24.pdf Sample Covariance & Correlation
9 M, 12/1 L25_26.pdf Simple Linear Regression Model & Least-Square Regression Line 12.1-12.2
9 W, 12/3 L25_26.pdf Properties of the Least Square Regression Line. Sampling Distributions of the LS Estimates for the Slope and the Intercept 12.2-12.3
9 F, 12/5 L25_26.pdf Hypothesis Tests & Confidence Intervals for the Slope & Intercept; Confidence Intervals and Prediction Intervals for a Prediction; Multiple \(R^2\) 12.2-12.4

Last Update: 12/20/2025