STAT 101: Introduction to Statistics
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Course Prerequisites
Grade S in Math 090 (Intermediate Algebra) or appropriate score on the department placement test.
Course Description
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.
Credit is not given for STAT 101 for majors in Mathematics and Computer Science. Extensive computer use required.
Credit Awarded
4 hours of credit (some exceptions noted below)
Credit is not given for STAT 101 if the student has credit for STAT 130. Credit is not given for STAT 101 for any major in the Department of Mathematics, Statistics, and Computer Science.
Course Materials
Course Materials
Textbook
The Basic Practice of Statistics by Moore, 8th edition, published by MacMillan. Custom edition (available only from the UIC Bookstore) includes only sections covered in this course. Note that an Achieve code is required for the course while the printed textbook is optional.
Achieve
An Achieve code linked to your Blackboard account is required for this course. To ensure your Achieve code is properly linked to your blackboard account you should purchase your Achieve code through the link in Blackboard. An Achieve code purchased through the link in Blackboard will include an electronic version of the textbook, buying a print copy is optional.
Exam Study Guides Heading link
List of Topics Heading link
| Chapter | Topic(s) |
|---|---|
| 1 | Picturing Distributions with Graphs |
| 2 | Describing Distributions with Numbers |
| 3 | The Normal Distributions |
| 4 | Scatterplots and Correlation |
| 5 | Regression |
| 6 | Two-Way Tables |
| 8 | Sampling and Biases |
| 9 | Experiments |
| 12 | Introducing Probability: Basic rules and models |
| 13 | General Rules of Probability: Addition, Multiplication, Conditional Probability, Bayes’ Theorem |
| 14 | Binomial Distributions |
| 15 | Sampling Distributions |
| 16 | Confidence Intervals for One Mean |
| 17 | Tests of Significance for One Mean |
| 18 | Inference in Practice |
| 20 | Inference about a Population Mean and t-distributions |
| 21 | Inference about Two Population Means |
| 22 | Inference about a Population Proportion |
| 23 | Inference about Two Population Proportions |