1996:12:16:13:48:
Professor JOEL OWEN
B01.1305
Statistics and Data Analysis
office
: MEC room 8-63tel
: 212- 998- 0446fax
: 212-995-4003office hours
: Monday and Wednesday from 5:00 until 6:00 and by appointment at other timesclass meetings
: Wednesday from 6:00pm until 8:50pm in room ?TA
: To be announcedtext
: Basic Statistical Ideas for Managers by D.K. Hilderbrand and R.L. Ott (HO), Duxbury Press, 1996.computer package
: MINITAB 12grading
:a
. There will be a midterm examination in the 8th week given in class.b
. There will be a final examination during the exam period.c
. There will be weekly assignments to be handed in. Late assignments will not be accepted. Cases found at the end of the chapters are to be read when assigned and you should be ready to discuss them in class.d
. The final grade will combine your performance as follows: 35% is based on the midterm grade, 50% is based on the final grade and 15% is based on the submission of the weekly assignments.SYLLABUS
A. Basics of Probability: Chapter III of HO
Rules of Probability
Probability Trees
B. Random Variables and Their Distributions Chapters IV and V of HO
Discrete Probability Models: The Binomial distribution
Continuous Probability Models: The Normal Distribution
C. Sampling Distributions: Chapter VI of HO
Random Sampling
Sampling distribution of the Mean and Sums
The Central Limit Theorem
D. Estimation: Chapter VII of HO
Point Estimators
Confidence Interval for the Mean
Confidence interval for Proportions
MID-TERM EXAMINATION WEEK
E. Hypothesis Testing: Chapter VIII of HO
Hypotheses
Type I and Type II Errors
Tests of Means and Proportions
The Structure of General Tests
F. Simple Linear Regression: Chapter XI of HO
The principal of Least Squares
The Assumptions of a Linear Regression Model
Inference in Linear Regression
Prediction in Linear Regression
Diagnostics
G. Multiple Regression and Model Building : Chapters XII and XIII of HO
Assumptions and Estimation of Multiple Regression Models
Inference and Prediction in Multiple Regression
Model Selection
Diagnostics
Multicollinearity
FINAL EXAMINATION