### Contents

### 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 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.**
http://blackboard.uic.edu

### COURSE MATERIALS

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 MyMathLab.
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, 4th edition, published by Pearson.
The website is http://www.pearsonmylabandmastering.com/.

Please enroll in the appropriate course. The courseID's depend on your lecture and lab time:

12 PM Lecture with Embers

- Embers 9 am Lab (TA Mark Lewicki) Course ID
**embers65564** - Embers 11 am Lab (TA Xuelong Wang) Course ID
**embers41241** - Embers 1 pm Lab (TA Keyu Nie) Course ID
**embers78217**

2 PM Lecture with Liu

- Liu 9 am Lab (TA Paul Scurek) Course ID
**liu54106** - Liu 12 pm Lab (TA Yue Zhang) Course ID
**liu27946** - Liu 2 pm Lab (TA Yi Lin) Course ID
**liu08599**

### QUIZZES AND HOMEWORK

Quizzes will be taken using MyMathLab in the assigned computer lab. Quizzes are given every week, starting with the 1st 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 score 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.

### EXAMS

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.

### GRADING

The course grade is based on total points, with letter grades assigned on 90-80-70-60 scale.

The 500 points are assigned as follows:

2 exams | 100 points each |

Quizzes | 50 points |

Homework | 50 points |

Final exam | 200 points |

### SYLLABUS

Week | Chapter | Topics |
---|---|---|

1 | Ch 1-4 | Displaying Data, Bar Chart, Contingency Table, Boxplot, Histogram |

2 | Ch 5 | Normal Distribution, Standard Deviation |

3 | Ch 6-7 | Scatter Plots, Correlation, Linear Regression |

4 | Ch 7-9 | More on Regression, Randomness |

5 | Ch 10-11 | Sample Surveys, Experiments, Exam 1 |

6 | Ch 12-13 | Probability Rules |

7 | Ch 13-14 | Probability |

8 | Ch 14 | Random Variables |

9 | Ch 14 | Probability Models, Exam 2 (Liu) |

10 | Ch 15 | Sampling Distribution Models,CLT, Exam 2 (Embers) |

11 | Ch 16 | Confidence Intervals for Proportion |

12 | Ch 17 | Hypothesis testing, Exam 2 |

13 | Ch 18 | Inferences About Means |

14 | Ch 19 | More about inference |

15 | Ch 20-21 | Comparing Two Populations, Review for Final Exam |

### STUDENTS WITH DISABILITIES

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)