Course Description / General Remarks
The course B01.1305 is designed to achieve an understanding
of fundamental notions of data presentation and analysis and to use statistical thinking in the context of business
problems. The course deals with modern methods of data exploration (designed to reveal unusual or problematic aspects
of data bases), the uses and abuses of the basic techniques of inference, and the use of regression as a tool for
management and for financial analysis.
Texts and Other Class Materials
The course textbook is Basic Statistical Ideas for Managers, by David K. Hildebrand, R. Lyman Ott, and J. Brian Gray (Duxbury Press,
2nd edition). A student solutions manual is available for this book.
Statistical computing will be done with the program
Minitab 15 for Windows. This program runs on the Stern network; individual copies can be purchased from the University
Professional Bookstore for about $112. Minitab 15 can be purchased over the web from eacademy.com. This version is sold in two pricing ways :
1) $26 with 5 months usage and 2) $50 with one year usage.
Topical Outline
The abbreviation H&O below refers to Hildebrand
and Ott, the course textbook.
Week/Topical Heading

Specific Topic

Readings

Basic concepts of probability, random variables 
Algebra of events, definition of probability, conditional
probability and independence, probability mass function, mean, variance, standard deviation 
H&O, chapters 34 
Specific distributions 
Binomial distribution, normal distribution 
H&O, chapter 5 
Point and interval estimation 
Central Limit theorem, confidence interval for mean
m and binomial proportion p 
H&O, chapters 67 
Hypothesis testing 
Structure of tests, practical and statistical significance,
Type I and Type II error, tests for means, tests for proportions, comparison of two groups 
H&O, chapter 8
H&O, sections 9.19.4 
Simple linear regression 
One predictor model, least squares, inference, t
and F tests, R^{2}, prediction, checking of assumptions, regression diagnostics 
H&O, chapter 11 
Multiple regression 
Multiple regression model, t and F
tests, interpretations of coefficients, residual analysis, diagnostics, model repair, multicollinearity, model
selection, transformations 
H&O, chapters 1213 
Grading Information
Grades will be based on a combination of scores
for homework, the midterm and the final examination.
Assignments
Homework assignments will be drawn from problems
from the text, as well as from other sources. Data files required for the assignments will all be available
from the Stern network or from the instructors’ web sites.
Exams:
Midterm: TBA
Final Exam: TBA
Note for Students with Disabilities
If
you have a qualified disability and will require academic accommodation
during this course, please contact the Moses Center for Students with
Disabilities (CSD, 9984980) and provide the professor with a letter
from them verifying your registration and outlining the accommodations
they recommend. If you will need to take an exam at the CSD, you
must submit a completed Exam Accommodations Form to them at least one
week prior to the scheduled exam time to be guaranteed accommodation.
