CAS MA 213:  Basic Statistics & Probability
Fall 2010

Instructor: Dr. Surajit Ray
Department of Mathematics and Statistics
MCS 222, 111 Cummington Street, Boston, MA 02215
Phone: (617) 353-5209, Fax: (617) 353-8100

Tue,Thu 12:30pm-2:00pm (Class Room: CAS 224)
Office Hours: Tuesday 2:00pm-3:00pm, Monday 12pm-1pm

BLACKBOARD Login ( BU Students)

Course Description:
This course serves as an introduction to basic concepts and tools in probability and statistics. We begin with how to describe data. Then we study the elements of probability theory. Finally, we combine data description and probability theory into an approach to statistical inference. Students should emerge from this course with the ability to incorporate a variety of skills in analyzing and reasoning from data.


    Week 1 1 Lecture
    Introduction, overview of statistics.
    Week 2 2 Lectures Statistical data- types and methods of description.
    Week 3 2 Lectures Summarizing data- mean, standard deviation, five-point summary.
    Week 4 2 Lectures Introduction to Probability.
    Week 5 2 Lecture Solving problems involving probability
    Week 6 1 Lecture Discrete random variables Midterm 1 (Oct 7)
    Week 7 1 Lecture Continuous random variables. The Uniform distribution.
    Week 8 2 Lectures Continuous random variables. The Normal distribution. Z-tables.
    Week 9 2 Lectures Sampling Distribution and the Central Limit Theorem. 
    Week 10 1 Lecture Confidence Interval estimation of the population mean and proportion. Midterm 2 (Nov 4).
    Week 11 2 Lectures Confidence Interval estimation of the population mean and proportion
    Week 12 2 Lectures Hypothesis Testing. Large-sample test about a population mean.
    Week 13
    1 Lectures Hypothesis testing for the population mean. 
    (Thursday (Nov 25) HOLIDAY )
    Week 14
    2 Lectures Hypothesis testing for the population proportion.
    Week 15
    2 Lectures Two sample inference (Time permitting)

Text Book:

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Statistics, 11/E
James T. McClave
Terry Sincich
William Mendenhall

ISBN-10: 0132069512
ISBN-13: 9780132069519

Publisher: Prentice Hall
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There will be two midterms and one final (cumulative). Policy regarding the exams will be announced later. All exams are required and there will be no make up exam. Exams will take place according to the following schedule:
        Midterm I: Thursday, October 7 
        Midterm II: Thursday, November 4
        Final: TBA
Homework(Quiz) 30%, Midterm I 20%, Midterm II 20%, Final Exam 30%.
You have the option of using statistical software JMP and R for computing in this course. JMP is a commercial software but it is free for BU students. If you choose to use JMP please download the software from . You will need you BU kerberos name and password to access this. The software R is free and compatible with Windows, Mac, and Linux/Unix. It may be downloaded from The main website for the R project is
Please Note:
You are responsible for knowing, and abiding by, the provisions of the GRS Academic Conduct Code, which is posted at .
Violations of the code are punishable by sanctions including expulsion from the University.