Instructor: Mark McNulty

Texts: 1) Gerald Keller & Brian Warrack, Statistics for Management and Economics, Sixth Edition, Duxbury Press 2) B.J. Dretzke, Statistics with MicrosoftÒ Excel, Prentice Hall, 3^rd edition

Other Materials: Calculator with a square root function.

Graded Work: There will be three exams, and five homework assignments. Homework assignments will require the use of Microsoft Excel. The course grade will be determined as follows: Exams = 60% of course grade and homework assignments = 40%. Exams will be a combination of material from the text and material covered in class. Letter grades are assigned on a straight-line basis (e.g., 90% and above = A range, 80%-89% = B range, 70%-79% = C range, ....) Plus/minus grades are assigned at the ends of the ranges. For example, a student earning an 87% would be assigned a B+. There is an optional final exam which may be taken to replace your lowest exam score. If an exam (or more than one exam) is missed (all excuses for missed exams are accepted) then the final is required and will be used to replace all missed exams.

Assignments:

Section I

Chapters 1 through 8 (Statistics for Management and Economics)

Chapters 1 through 5, and Chapter 12 (Statistics with Microsoft Excel)

Test 1 Friday 10/1

Section II

Chapters 9 through 13 & 18 [through 18.3] (Statistics for Management and Economics)

Chapters 6 through 8 (Statistics with Microsoft Excel)

Test 2 Friday 11/5

Section III

Chapters 18 through 21 (Statistics for Management and Economics)

Chapters 10 and 11 (Statistics with Microsoft Excel)

Test 3 Wed 12/8

Homework assignments will be assigned in a separate set of documents (Note: Homework assignments will not be accepted after their respective due dates.)

Instructor: Mark McNulty

Text: Gerald Keller & Brian Warrack, Statistics for Management and Economics, Sixth Edition, Duxbury Press

Other Materials: Calculator with a square root function.

Graded Work: There will be four exams, and four computer assignments. Since the material builds on it self, the exams are somewhat comprehensive. The course grade will be determined as follows: Exams = 80% of course grade and computer assignments = 20%. Letter grades are assigned on a straight-line basis (e.g., 90% and above = A range, 80%-89% = B range, 70%-79% = C range, ....) Plus/minus grades are assigned at the ends of the ranges. For example, a student earning a 87% would be assigned a B+. There is an optional final exam which may be taken to replace your lowest exam score. If an exam (or more than one exam) is missed (all excuses for missed exams are accepted) then the final is required and will be used to replace all missed exams.

Schedule:

Section I Descriptive Statistics, Graphical Descriptive Techniques, and Sampling

Section II Introduction to Basic Probability Theory, Sampling, and Estimation

Section III Continuous Probability Distributions and Sampling Distributions and Hypothesis Testing

Section V Two Population Hypothesis Testing, Regression and Correlation

Chapters: 13.1 – 13.2, 18, and 19.1 - 19.2

Exam 4 Wed 12/8

Instructor: Mark McNulty

Text: Gerald Keller & Brian Warrack, Statistics for Management and Economics, Sixth Edition, Duxbury Press

Other Materials: Calculator with a square root function.

Graded Work: There will be four exams, and four computer assignments. Since the material builds on it self, the exams are somewhat comprehensive. The course grade will be determined as follows: Exams = 80% of course grade and computer assignments = 20%. Letter grades are assigned on a straight-line basis (e.g., 90% and above = A range, 80%-89% = B range, 70%-79% = C range, ....) Plus/minus grades are assigned at the ends of the ranges. For example, a student earning a 87% would be assigned a B+. There is an optional final exam which may be taken to replace your lowest exam score. If an exam (or more than one exam) is missed (all excuses for missed exams are accepted) then the final is required and will be used to replace all missed exams.

Schedule:

Section I Descriptive Statistics, Graphical Descriptive Techniques, and Sampling

Section II Introduction to Basic Probability Theory, Sampling, and Estimation

Section III Continuous Probability Distributions and Sampling Distributions and Hypothesis Testing

Section V Two Population Hypothesis Testing, Regression and Correlation

Chapters: 13.1 – 13.2, 18, and 19.1 - 19.2

Exam 4 T 12/7