Fall Semester 2004

Business 90:   Business Statistics

Section 10 code 50034  Lectures Tuesday   2:00-4:45PM  BBC 021

11/16 Schedule of Classes, Reading, HW dates and Tests

 

8/31     Introduction: Data & Sampling   pp. 1-21.    Tables & Charts: Numerical Data pp. 50-62

            Review of Excel see pp. 28-44

 

9/7       Categorical Data  pp. 68-72   Graphical excellence pp. 80-84

            Two-way tables and Simpson’s Paradox pp.  75-77 & Notes     HW1

 

9/14     Numerical Summaries: Location & Spread, Empirical Rule, Z scores, CV, RRR pp.104-124

Q1       Percentiles; Box-plots: pp. 131-134 & Notes    HW2

 

9/21     Bivariate data –Correlation & XY plots  pp. 65, 137-142;

Q2       Probability/ Basic Concepts  pp. 158-165;     HW3

 

9/28     Conditional Probability &  Bayes Rule notes; pp. 168-178

Q3       Random Variables 182-184;

            The Covariance and Risk Reduction -Portfolios, diversification pp. 188-195& Note  HW4     

 

10/5     HW5 Review    Binomial probability model pp. 197-203

           

10/12   Exam I

            Decision Analysis: Payoff, EMV, EOL, EVPI, CV, RRR,  sample information pp.722-740

 

10/19   The Normal Distribution  pp. 224-237 C.L.T; Sampling distribution of m and P  pp. 253-267.

            Finite pop. Correction PP 284-5    HW 6   Q4

 

10/26   Review of Sampling distribution.

            Confidence Interval Est. of m  and P,   pp. 282-298   HW7 Q5

                                                                                                                       

11/2     Sample size for CI   pp. 284-306  

            Application of CI to accounting  pp.307-310

Q6   Hypothesis Testing of m pp. 332-339;  HW8

                 

11/9     Exam II    Hypothesis p-value and one tail tests    pp. 339-347 HW9

 

11/16   t-test for m  pp. 348-353

            Introduction to Regression Analysis: estimation & ANOVA pp. 512-526 HW10

             

11/23   Regression (cont.)  Assumptions and Inference  pp. 527, 527-543  HW 11 Q7

 

 

11/30   Validating regression assumptions via Residual Analysis. pp.528-532 HW 12

            Exam III 

 

12/7     Forecasting and review for Final Exam pp. 546-550    

 

FINAL EXAM  Friday 12/17    12:15-14:30

 

11/16  Homework  Schedule

Hand in your HW at the beginning of class on due dates.

All  bold exercises should be done using Excel.

 

HW 1 due  9/7: 1.3, 1.7, 1.13, 1.19, 1.21,  2.13,  2.15(skip a)

 

HW2  due  9/14:  2.27,  2.31, 2.34, 2.36, 2.40, 2.41, 2.42, 2.31, 2.48,

Simpson Paradox – Describe a situation where Simpson paradox may occur and argue what should be the correct analysis.

 

HW3 due  9/21: 2.62, 3.3, 3.9, 3.14 (use the empirical rule in part d) , 3.15(what is the Z

                        score of 9min.), 3.34, 3.35, 3.38, 3.72,3.73

 

HW4  due  9/28  2.22, 2.23, 3.44, 3.45, 4.1,4.3, 4.6, 4.7, 4.9, 4.11 .

 

HW5  due  10/5: 4.19,  4.21, 4.30, 4.31, 4.33, 4.35, 4.51, 5.1, 5.9, 5.11(Excel for g.- k.)

 

HW6  due  10/19: 5.19,  5.21, 5.53 (Calculate the Z score Z{X=30} for part a) 16.3, 16.5, 16.15(a-i), 16.17(a-i)

 

HW7 due 10/26:  6.2, 6.4, 6.5, 6.6, 6.9, 6.11,6.13.

 

HW8 due 11/2:  6.39, 6.45, 6.47, 6.49, 6.53, 7.1, 7.3, 7.5, 7.7, 7.9, 7.10, 7.15

 

HW9 due 11/9:    7.32, 7.33, 7.39, 7.45.

 

HW10 due 11/16  8.13, 8.14, 8.15, 8.17, 8.19, 8.22, 8.33, 8.27, 8.31, 8.43, 8.45

Do Not turn in but be sure you understand and can answer: 8.1-8.10

 

HW11 due 11/23: 8.51, 8.53. 12.2, 12.3, 12.5,  12.6.12.7, 12.14, 12.16, 12.18

 

HW12 due 11/30         12.35, 12.37, 12.38, 12.39, 12.41, 12.42