MGMT 0024 Syllabus

Probability and Statistics for Management

Spring 2005

M 5:00-5:50 p.m. or 6:00-6:50 p.m. McKenna Hall 136 (or Smith Hall 216)

W 5:00-6:40 p.m. Smith Hall 216

 

Instructor:               Dr. Dean Nelson

Office:                      PH 136

E-Mail:                    den@pitt.edu

Phone:                      (724)838-8044

Office Hours:          MW 3:45-4:45 p.m., TTh 9:00-10:00 a.m., and by appointment.

Online Info:             http://courseweb.pitt.edu/

Required Text:        The Practice of Business Statistics, by Moore,, McCabe, Duckworth, and Sclove

 

Course Overview:  This is an introductory course in statistics for management students.  Emphasis will be placed on applying and interpreting statistical techniques in the context of analyzing data.  The course will consist of a combination of lecture sessions and computer classroom labs.  The lectures will introduce and explain the reasoning and development of statistical techniques.  The computer classroom labs will give you the opportunity to use the computer (Excel and SPSS) to apply those techniques to data and interpret the results.

                                

Administrative Notes:

  1. If you have a disability for which you are or may be requesting an accommodation, you are encouraged to contact both your instructor and the Director of Learning Resources Center (LRC), Lou Ann Sears, Room 105 Faculty Office Building (724) 836-7098 (voice) / (724) 836-7128 (TTY), as early as possible in the term.  LRC will verify your disability and determine reasonable accommodations for this course.
  2. Grading will be plus/minus.
  3. Make-up quizzes and exams will be given only in case of excused absences.
  4. Expectations of academic integrity are described on pages 4-6 in the current Student Handbook

 

Course Requirements: 

Work for this course will include the following

  1. Reading the text book
  2. Participation in class/computer lab
  3. Completion of written homework assignments
  4. Short written/computer quizzes.
  5. Exams, given 3 times, equally spaced throughout the semester.

 

Grades:

Grades will be determined in the following manner:

Homework                                           20%

Quizzes                                                20%

Lab attendance and participation           15%

Exams                                                  45%

 

Homework:

Homework will be accepted late ONLY if it is handed in at the beginning of the next class. The score will be reduced by one point (on a ten point scale).  Quizzes may be made up by appointment.  There are 8 labs, each worth 12.5% of your lab grade.  The lowest quiz score, and the lowest homework score will be dropped before the final grade is computed.

 

Course Schedule:

Date

Content Covered

Quiz

Homework

Jan       5

4.1, 4.2 - Probability Models

 

 

            10

SH 216: 4.3 – Random Variables , 5.1 – Probability Rules

 

 

            12

5.1, 5.2 – Probability Rules and Binomial Distribution

Quiz 1

HW 1

            17

Martin Luther King Day

 

 

            19

5.3, 5.4 – The Poisson Distribution and Conditional Probability

Quiz 2

HW 2

            24

Mc136: 1.1 – Distributions/Graphs

 

 

            26

1.2 – Distributions/Numbers

Quiz 3

HW 3

            31

Mc136: 1.2 – Distributions/Numbers

 

 

Feb      2

1.3 – Normal Distribution

Quiz 4

HW 4

            7

SH 216: Review

 

 

            9

Test 1

 

HW 5

            14

Mc136: 2.1, 2.2 – Scatterplots and Correlation

 

 

            16

2.3, 2.4 – Least-Squares Regression

Quiz 5

HW 6

            21

Mc136: 2.3, 2.4 – Least-Squares Regression

 

 

            23

4.4, 6.1– Sampling Distribution of a Sample Mean and Confidence Intervals

Quiz 6

HW 7

            28

SH 216: 6.2 – Hypothesis Tests

 

 

Mar      2

7.1, 8.1 – One-Sample Hypothesis tests

Quiz 7

HW 8

            7

Spring Break

 

 

            9

Spring Break

 

 

            14

Mc136: 7.1, 8.1 – One-Sample Hypothesis tests

 

 

            16

Test 2

 

HW 9

            21

SH 216: 8.2 – Comparing Two Proportions

 

 

            23

7.2 – Comparing Two Means

Quiz 8

HW 10

            28

Mc136: 7.2 – Two-sample t-test

 

 

            30

10.1, 10.2, 10.3 – Regression Model

Quiz 9

HW 11

Apr      4

Mc136: Regression Model

 

 

            6

11.1, 11.2 – Multiple Regression

Quiz 10

HW 12

            11

Mc136: Multiple Regression

 

 

            13

11.3 – Model Building

Quiz 11

HW 13

            18

SH 216: Review

 

 

            20

Test 3

 

 

 

Exams:

Each of the 3 exams will test the material covered since the last exam.  There will be a review session prior to each exam.

 

UPG has a Learning Resources Center (FOB 104, 105) that offers free tutoring, drop-in help for composition, information about study skills and test taking, a variety of software, disability services for those who qualify, and handouts. For more information, call Lou Ann Sears (724) 836-7098, stop by FOB 105, or email los3@pitt.edu