BA3300 Introduction to Business Statistics
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BA3300 Introduction to Business StatisticsCOURSE DESCRIPTION & OBJECTIVES:"This is a second course in a required two-course statistics sequence. The first course (Math 105/1105 or its equivalent), covers the basics of probability and statistics, and BA3300 builds on that material. It is assumed that the student is acquainted with the material in Math 1105, and basic use of a PC-Compatible computer, including navigating on the web, fundamental concepts of spreadsheets, and e-mail. Students will learn techniques used for relational analysis and business forecasting and how to apply them in a business context. Tools include Chi-Square tests of statistical independence; analysis of variance; simple linear regression and correlation; multiple linear regression; and extrapolative techniques such as moving averages and exponential smoothing. Emphasis is placed on problem definition, construction of statistical models, analysis of data, and interpretation of results."Prerequisites:BA1800(103), Math 1105(105), familiarity with basic statistics and PC-compatible computers, spreadsheets, email, and use of the internet. Minimum 2.0 Campus GPA. These prerequisites are not waived.Required:
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Winter/Spring, 2005 -- Robert J. "Bud" Banis, Ph.D.,C.M.A.
Administrative issues:Historical Grade Distributions"The Rules" on things like attendance, drop dates, academic dishonesty, and the like. Rules on cheating are enforced. See the discussion at collegecheating.com
Quizzes are open for group discussions, but all exercises and exams are individual effort only. Submissions very similar in form and /or content will result in academic affairs investigations. Letter grade breaks are 90, 80, 70, 60%. Plus & minus grades are rare. Research Report quality will be used to decide on borderline cases. |
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Resources:Review spreadsheet formula design from BA 1800Resources and video tutorialsVideos and other course materials on course CDs and DVD-- This is different from the CD's that came with the book.Is EXCEL an adequate statistics package?
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Tutor for the Spring Session.Maggie Shen will be the BA 3300 tutor again this semester. She will hold office hours in CCB213 during the following times:
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in process: | |||||
Weeks 1-4
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Overview, review of Z and t distributions, hypothesis testing. The Central Limit Theorem. One sample t-test.Review of Netscape Navigator/MS Internet Explorer, Windows Explorer and EXCEL Editing, converting and cleaning up real data-Descriptive Statistics, Graphing, t-tests. Comparing two sample means.Normsdist function: Be the "Martha Stewart" of Statistics-- make your own Z score Table. The "Martha Stewart" table of critical t's (and a more complex version of t-tail probabilities)
Hypothesis testing and sample means h0test.pdfCaution in the interpretation of hypothesis test!Comparison of sample variances through F tests, comparison of sample means, controlled experiments, Ch 9
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Variance and Standard Deviation:Ch 6 Describing data measures of central tendency: dispersity Areas under the normal curve-- the Z score table . Applications to normallized scores--the IQ Score examplesCentral Limit TheoremSampling Statistics and confidence limits on estimates of parameters. Ch 7 Sampling from Airplane empty seats data CXA07_01.PRNvideo sample.avi Results show Central Limit Theorem on distribution of sample means. Joint probabilities and probabilities of multiple errors in the sampling experiment. Normal approximation to binomial distribution. Hypothesis testing and sample meansExample one-sample t-test: Is hospital length of stay < 5 days?Beta error & sample size losbeta.xls T-test two sample means:gender and height data from classheight data 2 sample t test completed paired Sample T test:Example on salary related to gender: Power of controlling other variables through Paired comparisons Male & Female Salaries are they significantly different? Results with interpretation: sexsalt.xlsApplication of confidence intervals when data consists of population proportions Drug Use Survey |
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Ch 13 Analysis of VarianceConcepts of ANOVA , "explaining variance" Where does it come from and how can you mathematically separate out the sources of variation?EXCEL model showing partition of Variance by averaging out different effects. Be sure to set Tools >Macro >security at "medium" and enable the macros so the drop down list works.
Ch 14 & 15 Regression-- Simple Correlation And Linear Regression (pdf regression overview)See the Varsorc modelabout detecting effects in the presence of other factors Regression least squares fit equations and EXCEL equivalent functions |
Concepts of ANOVA gender-height
data from F01 correcting for other effects.
Golf balls and clubs data cxa15_06.prn Video with sound 1-Factor ANOVA2-Factor ANOVA with Replication Screen captures of golf club example if you want to see how means could be adjusted to arithmetically to do what is done in ANOVA, canceling the treatment effects. golfadj1.jpg and golfadjf.jpg , showing formulas 2wayanov.xls completed comparisons showing "manual" calculations golf9.xls More Discussion Ch 14 & 15 Regression Is crime related to level of gambling activity? Quadratic models-- Electricity Usage and size of house, kwhuse.xls , results kwhuse9.xls Learning Curves, assembly.dat results 9 am how does this relate to learning curve theory? data for paste special/ transpose. Interaction example from book--the clock auction. |
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Weeks9-12
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Processing larger datasets
(YRBSS data Weight Multiple Regression Exercise 4-Due Thursday April 21)-we'll walk through the actual exercise together in class --each person with their own individualized data) to complete a larger dataset Multiple regression with about 14,000 records, studying the age, gender, height effects on weight of highschool students from The Youth Risky Behavior Surveillance System (YRBS) Click here for detail on the assignment. See the Multiple Regression Video for explicit details See the screen captures on parsing the
2003 data into EXCEL.
Chi-squared analysis for independenceCrosstabulation of variables can most simply be done by pivot tables in EXCEL. See the videos and an example sheet on the YRBS2001 data.We will use pivot tables in EXCEL to generate the data we need from YRBS2003 for chi2 analysisWe will walk through this together in class. Exercise 5-due before Thursday April 28, the last class)--get it in early, none accepted after April 28 (at the end of the semester, due dates are firm to allow for timely grading ) a printable version of the exercise in WORD More detail on pivotTables in EXCEL, usepivot.doc
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Rainy days
Ch 12. Categorical Analysis Chi Square tests of independence drinking and smoking. Spreadsheet formulas: smkdrkfo.jpg There are, of course, several ways to approach the calculation of the table of expected values. Another approach used in class F02 is shown in smkdrkf2.jpg Copying text out of a PDF: pdftxt.avi
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6: Time series and forecasting. PPt summary and tools in EXCEL
Stock Market information:
Exercise 6 -extra credit due Thursday April 28 |
Time series and Forecastingpowerpoint from the bookSeasonal data on KWH use Timseasn.xls
Think for yourself.How bad is unemployment right now? See historical and current unemployment statistics from the Current Population Survey Statistics . Here is data converted to EXCEL, unemp.xlsDid the economy take a dive after 9/11 or was the dip something that
started even before the current administration came into office?
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| A discussion board is set up on my gateway for you
to submit 3 possible multiple choice exam questions due
by Friday, May 6..
You can view the submissions there as they are collected. Be wary. The Raw questions collected here are of variable quality and some are ambiguous or may even have the wrong answer suggested. Use these as a guide for the types of information to be covered but you'd better make sure you understand the information rather than just memorizing these questions! Both exams Collection of raw questions, i04 |
Both parts of the exam will be together.
The Multiple Choice part will be done without computer access, closed book, one page of notes allowed. Be sure to be prepared to use pivot tables to generate summary data for Chi-square analysis from the YRBS 2003 data. For the hands-on part, you will have access to the web, saved files on your K drive and your USB flashdrive, so you can have some of the work done ahead of time. Turn in the the files at the end of the exam via the Mygateway dropbox. If you are prepared and know what you are doing then there will be lots of time. If you aren't prepared, then there will not be time to learn it and
do it.
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Exam 2-Date & Time |
| Ref No /Section | Time | ||
| 13990/004 | 12:30-1:45TR | CCB003 | Thurs May 12, 12:30-2:30 PM |
| 14000 / 005 | 2:00-3:15 TR | CCB003 | Thurs May 12, 2:45-4:45 PM |
Switching sections is not allowed unless there is a good reason and prior permission. Taking an exam at a later time than prescribed may result in a grade penalty. Doing so without permission may result in a zero grade for the exam.
last modified July 19, 2005
comments
or questions to rbanis (at) jinx.umsl.edu
