92.283: Introduction to Statistics, Section 208, 209

Text: David S. Moore, Essential Statistics, 2th Edition, Freeman, 2013

Instructor: Dr. Anzhi LiEmail:

Website:

Office Hours: 2:00 -3:00 PM, Tuesday and Thursday.

Extra office hours are provided for Exam1, Exam2 and Final Exam.

Class Schedule: Tuesday and Thursday, 20811:00 AM,Sections 20912:30PM

Course Objective

This course is intended to provide the students with basic statistical skills to allow them toanalyze data as well as the ability to understand data that is presented, Topics to be covered include:

♦Graphical and analytical representation of data

♦Collection of data

♦Understanding of Basic probability

♦Conclusions from data, statistical inference

Technology

Excel software is required for this course inpart assigned homeworks. Students can use Excel applications inlibrary’s computer or his own andthe purchaseof Excel is not required. A basiccalculator is needed for each student in homework and all exams.

Attendance

◙Students are expected to attend all class meetings. Attendance will be recorded at all class meetings. Attendance rate will be contributed to final grade via “routine performance”.

◙ Students are responsible for any work missed during their absence.

Homework

Homework is required and will be assigned for each chapter covered. Homework will be collected and evaluated, between 6 and 8 times.

Grading

The course grade will be determined as follows:

______

Exam #1Exam #2FinalRoutine performance

25%25%25%25%

  • Routine performance includes homework, class exercise and attendance

The course grade assignments will be based on:

94-100 A, 90-93 A-, 86-89B+, 83-85B, 80-82B-, 76-79 C+, 73-75C, 70-72C-, 67-69 D+, 64-66 D,0-63 F.

92.283: Introduction to Statistics, Section 201, 212

Text: David S. Moore, Essential Statistics, 2th Edition, Freeman, 2013

Lecture Schedule, Spring 2013

DateChapterTopics

PART 1: Exploring Data

Jan 21th, 23thCourse introduction,Excel Skill Brief

Chapter 1Picturing Distributions with Graphs

Jan28thChapter 2Describing Distributions with Numbers

Jan30th,Feb 4thChapter 3The Normal Distributions

Feb6thChapter 4Scatterplots and Correlation

Feb11thChapter 5Regression

PART 2: From Exploration to Inference

Feb13thChapter 8,9 Producing Data: Sampling & Experiments

Feb 20thReview Chapter 1-9, exclude chapter 6 & 7.

Feb25th Exam #1

Feb 27th Chapter 10Introducing Probability

Mar4thChapter 10, 3 Normal Probability Distributions

Mar 6thChapter 11Sampling Distributions

Mar 11thChapter 14Confidence Intervals: The Basics

Mar13thChapter 15Tests of Significance: The Basics

Mar 14th-23thSpring recesses

Mar 25thChapter 16Inference in Practice

Mar 27th,Apr1thReview chapter 10-16, exclude chapter 12 &13

Apr3thExam #2

PART 3: Inference about Variables

Apr8thChapter 20Inference about a Population Proportion

Apr 10th15thChapter 18Inference about a Population Mean

PART 4: Inference about Relationships

Apr, 17thChapter 6 Two-Way Tables

Apr22thChap 23Two Categorical Variables: The Chi-Square Test

*Apr 24thChap 25One Way Analysis of Variance: ANOVA

Apr 29th May 1thReview Chapter18, 20, 6,2325

May5th-10thFinal Exam

  • Note: Chap 25 is optional
  • The instructor reserves the right to alter the syllabus and schedules, as needed.

1