Lundquist College of Business

Decision Sciences 330 Business Statistics Syllabus  Spring 2009 ADDRESSES |ANNOUNCEMENTS |ASSIGNMENTS |HANDOUTS |LINKS |

University of Oregon

SERGIOK@UOREGON.EDU

Announcements	Please make sure to always bring your class packets to class!!!! By clicking on the links below you will find : files containing data to be analyzed for specific classes assignments - filenames with the suffix: -1 are generally due on the Wednesday of that week prior to class -2 are generally due on the Monday of following week prior to class handouts (go directly to the specific week below) Old Announcements
	Tentative Schedule
Week 1	Review: Interval Estimation Introduction; Summary Statistics; Tchebychev's Theorem; Probability Distributions (Discrete & Continuous) Normal Distribution; Sampling Distributions; Central Limit Theorem.
Week 2	Review: Confidence Intervals & Hypothesis Testing Confidence Intervals; T - Distribution; Hypothesis Testing; Problems.
Week 3	Hypothesis Testing & Forecasting Hypothesis Testing; Testing Differences of Means between Groups; Forecasting; Problems.
Week 4	Exploiting Relationships Among Variables to Make Decisions Correlation & Autocorrelation; Regression Analysis: General Linear Additive Model; Transformations; Interpretation of Coefficients; Using Regression to Make Business Decisions; Least Squares.
Week 5	Regression Analysis: Construction & Interpretation Confidence Intervals; Statistical Significance of Coefficients; Hypothesis Testing; Goodness of Fit - R^2Dummy/Categorical Variables: Modeling Extraneous Effects; Seasonality; Lags; Generating Forecasts; Construction of Regression Models Using Excel & SPSS.
Week 6	Regression Analysis: Construction & Interpretation Formulation Computer Models; Trends; Midterm 1
Week 7	Regression Analysis: Model Diagnostics F-tests; Testing the Utility and Portions of a Regression Model; F-distribution; Assumptions Behind the General Linear Model; Linearity; Multicollinearity; Problems.
Week 8	Regression Analysis: Pitfalls Autocorrelation: Consequences; How to spot it; Remedies;
Week 9	Regression Diagnostics and Model Building Midterm 2
Week 10	Heteroscedasticity; Computer Problems. Outliers; Leverage & Computer Models. Review Final: Monday, Jun 8th @ 18:00

Related Links:

• Decision Sciences Department
• Lundquist College of Business
• University of Oregon
• Internet Statistical resources

---