STAT 400 / DATA 400 — Applied Probability and Statistics I

University of Maryland · Fall 2025 Archived

Lectures
TuTh 2:00–3:15 pm, ARM 0126
Discussion
Mondays, MTH 0106
Sections
511/512/521/522/531/532
Teaching assistants
Christian Adams, Minghan Yu
Text
Lecture notes by J. F. Fernandes and M. D. Gunatilleka; reference text Devore, Probability and Statistics for Engineering and the Sciences, 9th ed.

Schedule

WeekDateLectureHomework & quiz
1 Sep 1 – Sep 7 Tue Sep 2 1 Introduction to Probability and Statistics, with examples no homework
Thu Sep 4 2 Basic set theory, experiments and events
2 Sep 8 – Sep 14 Tue Sep 9 3 Probability functions, probability space HW1 posted Sep 12 · due Sep 19 Quiz 1
Thu Sep 11 4 Combinatorics, counting and probability
3 Sep 15 – Sep 21 Tue Sep 16 5 Conditional probability, independence, Bayes' theorem HW2 posted Sep 19 · due Sep 26 Quiz 2
Thu Sep 18 6 Random variables
4 Sep 22 – Sep 28 Tue Sep 23 7 Cumulative distribution function; discrete and continuous RVs HW3 posted Sep 26 · due Oct 3 Quiz 3
Thu Sep 25 8 Parameters of RVs: expected value, variance, standard deviation
5 Sep 29 – Oct 5 Tue Sep 30 9 Discrete families: uniform, Bernoulli, binomial, hypergeometric, negative binomial, geometric, Poisson HW4 posted Oct 3 · due Oct 10 Quiz 4
Thu Oct 2 10 Continuous families: uniform, normal, gamma, exponential, chi-square, beta
6 Oct 6 – Oct 12 Tue Oct 7 11 Review for Midterm 1 no homework
Thu Oct 9 Midterm 1
7 Oct 13 – Oct 19 Tue Oct 14 No class — Fall Break HW5 posted Oct 17 · due Oct 24 Quiz 5
Thu Oct 16 12 Joint distributions: joint pmf/pdf, marginals, conditionals
8 Oct 20 – Oct 26 Tue Oct 21 13 Joint distributions, continued HW6 posted Oct 24 · due Oct 31 Quiz 6
Thu Oct 23 14 Joint distributions: expected values, covariance, correlation, linear models
9 Oct 27 – Nov 2 Tue Oct 28 15 Correlation and linear models HW7 posted Oct 31 · due Nov 14 Syllabus listed 11/07; the deadline was moved to 11/14. Quiz 7
Thu Oct 30 16 Random samples, linear combinations of RVs, statistics and their sampling distributions
10 Nov 3 – Nov 9 Tue Nov 4 17 Review for Midterm 2 no homework
Thu Nov 6 Midterm 2
11 Nov 10 – Nov 16 Tue Nov 11 18 Central limit theorem and applications HW8 posted Nov 14 · due Nov 21 Quiz 8
Thu Nov 13 19 Point estimation: variance and bias of estimators
12 Nov 17 – Nov 23 Tue Nov 18 20 Estimators, continued HW9 posted Nov 21 · due Nov 26 Quiz 9
Thu Nov 20 21 Examples of estimators and their properties
13 Nov 24 – Nov 30 Tue Nov 25 22 Point estimation, continued no homework
Thu Nov 27 No class — Thanksgiving
14 Dec 1 – Dec 7 Tue Dec 2 23 Point estimators HW10 posted Dec 5 · due Dec 12 Quiz 10
Thu Dec 4 24 Method of moments
15 Dec 8 – Dec 14 Tue Dec 9 25 Maximum likelihood estimation no homework
Thu Dec 11 26 Review for the final exam