Probability and Statistics (UMA401) is a one-semester, upper-level course that provides a comprehensive introduction to the fundamental principles of probability and statistical inference. The course covers key concepts such as probability theory, random variables, probability distributions, expectation, sampling distributions, estimation, and hypothesis testing. Emphasis is also placed on applying these concepts to analyze real-world data and solve practical problems. Students will gain hands-on experience by implementing statistical algorithms using R programming. The course credit are 4.0 (3 Lectures and 1 Lab). The details are given in the Course Syllabus and Lecture-wise Lesson_Plan.
Instructor: Dr. Paramjeet Singh, Associate Professor (Mathematics)
W 11-14: Tuesday at 08:50, Wednesday at 10:30, Thursday at 08:50 in B 302. LAB : W11, Wednesday at 15:30 in D102.
Lecture Notes and Solutions
Lecture Notes in PDF : ch1 ch2 ch3 ch4 ch5 ch6 ch7 ch8 ch9
Solutions: ch1_sol ch2_sol ch3_sol ch4_sol ch5_sol ch6_sol ch7_sol ch8_sol ch9_sol
Class Notes (old): C_ch1 C_ch2 C_ch3 C_ch4 C_ch5 C_ch6 C_ch7 C_ch8 C_ch9
Mid Term Examination (30%), End-Term Examination (40%), Lab R programming (20%), Quiz (10%)
(October 05, 2026) The evaluated answer sheets for the Mid-Term Examination will be shown to students on October 07, 2026, starting at 5:00 PM in Room T 101. Each group will have a 15-minute slot. The schedule is as follows:
W11: 5:00–5:15 PM, W12: 5:15–5:30 PM, W13: 5:30–5:45 PM, W14: 5:45–6:00 PM.
Please see the marking scheme and question paper SOLUTION uploaded.
(September 08, 2026) Mid-Term Lab Evaluation will be conducted during the week September 14–18, 2026. For details see, the NOTICE.
(August 12, 2026) Students are advised to attend each lecture and lab.
(August 12, 2026) Students are advised to study regularly and expected to solve the the assignments.
(September 26, 2024) Previous years question papers: MST_2023 EST_2023
Extra lecture, if required, will be announced later.
An Advise to develop good study habits can be found here.
You should check this page daily and begin working the assignments immediately after they are posted.
You are expected to do all assigned problems. You may need to do additional problems for practice.
You are expected to read the textbook as we cover the material.
Students can meet me in my office in G 254. Please make appointments at singh.pparam@gmail.com and see my schedule on the URL of another course which I am teaching in the current semester.