Textbook by Anderson, Sweeney, Williams, Camm, and Cochran,

Business and Economics Statistics (ECON205):

•   ECON205 (Fall 2020):  syllabus
•   Textbook: Essentials of Modern Business Statistics with Microsoft Excel by Anderson et al., 8th Edition (2020) | ebook
•   Computational tool is Excel: my Excel website
• ⇩ Week | ⇩ date| ⇩ video| ⇩ data | ⇙ inClassEx | ⇩ chaper:slides
•   W1 |9/1,9/3 |     v1 | v2 | dat | ice | C1: Data and Statistics
•   W2 |9/8,9/10 |   v1 | v2 | dat | ice | C2: Descriptive Statistics
•   3 |9/15,17 |        v1 | v2 | dat | ice | C3:Descriptive Stats:Num Measures
•   4 |9/22,9/4 |       v1 | v2 | dat | ice | C4:Introduction to Probability
•   5 |9/29,10/1 |     v1 | v2 | dat | ice | C5:Probability Distributions
•   6 |10/6,10/8 |     v1 | v2 | dat | ice | C6:Continuous Prob Distributions
•   7 |10/13,10/15 |                                    review and mid term
•   8 |10/20,10/22 | v1 | v2 | dat | ice | C7:Sampling/sampling Dist
•   9 |x/x, 10/29) |   v1 | v2 | dat | ice | C8:Interval Estimation
•   10 |11/3,11/5 |                                      chapter 8 (continued)
•                             v1 | v2 | dat | ice | C9:Hypothesis Testing
•   11 |11/10,11/12 |                                   chapter 9 (continued)
•                             v1 | v2 | dat | ice | C10:Inference Means/Prop(2 popu)
•   12 |11/17,11/19 |                                    chapter 10 (continued)
•                             v1 | v2 | dat | ice | C12:Goodness Fit etc
•   13 |11/24|                                               chapter 12 (continued)
•   14 | 12/1,12/3 |  v1 | v2 | dat | ice | C14: A Simple Linear Regression
•   15|12/8,12/10 |  v1 | v2 | dat | ice | C15: Multiple Regression

Supporting materials for 15 weeks (in an R-assisted learning environment)

• Step 1: Install R (just once):Click here, 'CRAN',[choose a location] =>
•             => choose PC or Mac,then click "base"
• Step 2: After launching R, issue one of the following lines.
•                source("http://datayyy.com/bs/week1.txt")
•                source("http://datayyy.com/bs/week2.txt")
•                ..............................................................
•                source("http://datayyy.com/bs/week14.txt")
•                source("http://datayyy.com/bs/week15.txt")

Videos for 13 chapters

• R installation: v1 | v2 || Windows(6m39s| Mac(13:20
•   C1: v1 | v2 || Data types(5:14 | Ethics(3:23
•   C2: v1 | v2 || Simpson's Paradox(8:11 | Big data(11:22 | Categorical/num data(4:13 |
•   C3: v1 | v2 || Mean,median,mode(8:53) | Measure variability(9:29 |
•   C4: v1 | v2 || Expected value/var(13:42) | Conditional prob(6:42) |
•   C5: Benford dist(20:41 |v2 || Poisson(5:08 | Binomial(6:50 |
•   C6: v1 | v2 || Uniform (6:56) | Normal(5:03) | Exponential(10:06)
•   C7: v1 | v2 || Sample dist(7:17 | Sample proportion(9:48 |
•   C8: v1 | v2 || Confidence Inter(6:41 | Inference 1 proportion(10:26 |
•   C9: v1 | v2 || Hypothesis: mean(10:12 | Type I (II) errors(5:02 |
• C10: v1 | v2 || 2 means(6:20 | 2 proportions(7:56 |
• C11: -------------------
• C12: Durbin-Watson(28:36 | Granger causality(19:52 ||
• C13: ------------------
• C14: Linear Reg(1)(19:48 | (2)(20:08
• C15: Multi-variate reg(17:22 || Overal significance(5:22

Data for this course

• Data sets supplied by the authors
•     Lists for chapters 1-4: chap 1 | chap 2 | chap 3 | chap 4
•     Lists for chapters 5-8: chap 5 | chap 6 | chap 7 | chap 8
•     Lists for chapters 9-12: chap 9 | chap 10 | chap 11 | chap 12
•     Lists for chapters 13-15: chap 13 | chap 14 | chap 15
• For extra data, click here

For any questions or suggestions, please contact me at pyan@geneseo.edu, or click here