92.283, Introduction to Statistics - Fall 2014 Text: David S. Moore, Essential Statistics, 2th Edition, Freeman, 2013 Instructor: Dr. Anzhi Li, Email: Anzhi_Li@uml.edu Website: http://faculty.uml.edu/Anzhi_Li 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, Sections 210 11:00 AM, 212 12:30 PM Course Objective This course is intended to provide the students with basic statistical skills to allow them to analyze 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 in many assigned home works. Students can use Excel applications in library’s computer or his own and the purchase of Excel is not required. A basic calculator is needed for each student in homework and all exams. . Attendance ◙ Students are expected to attend all class meetings. Attendance in all class meetings will be recorded. 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 #1 Exam #2 Final *Routine performance 25% 25% 25% 25% *Routine performance includes homework, classwork and attendance The course grade assignments will be based on: 94-100 A, 90-93 A-, 86-89 B+, 83-85 B, 80-82 B-, 76-79 C+, 73-75 C, 70-72 C-, 67-69 D+, 64-66 D, 0-63 F. 92.283: Introduction to Statistics, Section 210, 212 Text: David S. Moore, Essential Statistics, 2th Edition, Freeman, 2013 Lecture Schedule, Fall 2014 Date Chapter Sep 4th, 9th PART 1: Exploring Data Course introduction, Excel skill brief Chapter 1 Picturing Distributions with Graphs Sep Sep Sep Sep Chapter Chapter Chapter Chapter 11th 16th, 18th 23th 25th 2 3 4 5 Describing Distributions with Numbers The Normal Distributions Scatter plots and Correlation Regression PART 2: From Exploration to Inference Chapter 8, 9 Producing Data: Sampling & Experiments Review chapter 1-9, exclude chapter 6 & 7 Exam #1. 30th Sep Oct 2th Oct 7th Oct Oct Oct Oct Oct Oct Topics 9th 14th 16th 21th 23th 28th 30th Nov 4th Chapter10 Introducing Probability Chapter 11 Sampling Distribution Chapter 14 Confidence Intervals: The Basics Chapter 15 Tests of Significance: The Basics Chapter 16 Inference in Practice Review chapter 10-16, exclude chapter 12 &13 Exam #2 PART 3: Inference about Variables 6th Nov Nov 13th 18th Chapter 20 Inference about a Population Proportion Chapter 18 Inference about a Population Mean PART 4: Inference about Relationships Nov 20th 25th Chapter 6 Two-Way Tables Chapter 23 Two Categorical Variables: The Chi-Square Test Dec 2h Dec 4th, 9th Chap 25 One Way Analysis of Variance: ANOVA Review Chapter 18, 20, 6, 23 & 25 Dec 12th -18th Final Exam Note: The instructor reserves the right to alter the syllabus and schedules, as needed.