STAT 101: Introduction to Statistics




STAT 101 is an introductory course in statistics intended for students in a wide variety of areas of study. Topics discussed include displaying and describing data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world. Students also have the opportunity to analyze data sets using technology in their weekly laboratory discussions.

This site does not apply to the online version of the course. If you are in the online course, please find information in blackboard.


STAT 101 requires a textbook and an access code for the online homework system MyStatLab. You can purchase these separately or together. The UIC bookstore is offering discounted pricing on a bundle consisting of the textbook and an access code for MyStatLab. When you purchase the access code, you will have a copy of the text in the online material.

The textbook is Intro Stats by De Veaux, Velleman and Bock, 5th edition, published by Pearson. The website is

Please enroll directly through Blackboard.


Quizzes will be taken using MyMathLab in the assigned computer lab. Quizzes are given every week, starting with the 2nd week of the semester. Each quiz covers the previous week's material. Students will have three attempts for each quiz and quizzes are timed. Make-up quizzes will not be given; missing a quiz results in a score of 0. The lowest three quiz scores will be dropped at the end of the semester when computing the course grade.

Homework is also done online with MyMathLab, but can be done from any computer with internet access, such as those in computer labs, the library, the Math Sciences Learning Center, or a personal computer. There is no limit on the number of trials on homework, and MyMathLab saves only the best score. But the assignment must be submitted online before the due date in order for the score to count towards the course grade. The three lowest homework scores will be dropped at the end of the semester when computing the course grade.


The two midterms are given during class, in the normal lecture room. The final exam is also given in the lecture room, at the time specified in the UIC final exam schedule

All students are responsible for the full work of the course. This includes knowing the material, taking tests, doing the homework, knowing the dates when tests are held and any announcement that may be made in class. If you have a valid excuse for missing a midterm let me know in advance. In case you are ill on the day of a midterm, contact me as soon as you can. On return you must give a written explanation of your absence. There will be no make up tests. If your excuse is valid your missing exam score will be replaced by your final exam score (scaled of course. e.g. you get 180 out of 200 in the final, your missing exam score will be replaced by 90%). Otherwise it counts zero. There will be no make-up for the final exam.


Midterm grades will be computed using the following weights:

Exam 1 70%
Quizzes 20%
Homework 10%


The course grade is based on the following weights, with letter grades assigned on 90-80-70-60 scale.

The 500 points are assigned as follows:

Exam 1 20%
Exam 2 20%
Quizzes 20%
Homework 10%
Final exam 30%


Lectures and discussion/problem sessions: As explained in the course description, in order to successfully complete the course, your active involvement in learning is essential. Therefore, a serious commitment on your part to attend both the lectures and the discussion/problem sessions is a basic requirement of that. Attendance in the course will be taken both in lecture and in discussion sections starting with week 3.

A percentage of below 75% in lecture, or a percentage of below 75% in discussion will result in a drop of one letter grade for the course as a consequence. Below 50% attendance in either one of these categories will result in an automatic F for the course.


Week Chapter Topics
1 Ch 1-2 Displaying Data, Bar Chart,Histogram, Descriptive Statistics
2 Ch 3-4 Contingency Table, Boxplot
3 Ch 5 Normal Distribution,
4 Ch 6-7 Scatter Plots, Correlation, Linear Regression,Multivariate Regression
5 Ch 8 More about Regression, Exam 1
6 Ch 9-11 Multiple Regression, Surveys, Experiments
7 Ch 12 Probability
8 Ch 12 Probability
9 Ch 13 Sampling Distribution Models, Confidence Intervals Proportions
10 Ch 14 Exam 2
11 Ch 14 CLT,Confidence Intervals for Means
12 Ch 15 Hypothesis testing
13 Ch 16 More about Tests
14 Ch 17 Comparing Two Populations
15 Ch 18 Paired Samples, Review for Final Exam, Final Exam


Students with disabilities who require special accommodations for access and participation in this course must be registered with the Office of Disability Services (ODS). Students who need exam accommodations must contact ODS in the first week of the term to arrange a meeting with a Disability Specialist.

Please contact ODS at 312/413-2183 (voice) or 312/413-0123 (TTY)