BUS 310 Statistics Bill Remus

u TuTh 1:30pm and 3pm u Bill Remus u C502 Office Hours W 1:30-4:30 and By Appointment u Phone: u

Course Objectives u To understand how the statistical tools work and how they can be used to analyze data. The course will also build your spreadsheet skills as the analyses will be done using EXCEL for Windows. The classroom time is largely lecture and student problem solving

Prerequisite u Admission to the College of Business including passing ICS 101 (which also uses EXCEL).

u Texts:Levine, Krehbeil, and Berenson, Business Statistics: A First Course, Fourth Edition, Prentice-Hall (Required). This explains statistical ideas, statistical tests, and applications. u Ng, Student’s Solution Manual, Prentice- Hall (Recommended) This book has lots of completed solutions to textbook problems. (packaged free with new textbooks)

Grading u Midterm Exam u Cumulative Final u In Class Exercises u Problem Sets u TOTAL u (Final grades will be with plus or minus signs)

Internet Resource u Course Website includes handouts, files, old exams, etc.

Problem Sets u There are 30 points of text problems and mini-cases. Do note that some of these will require you to use EXCEL and that they must be done individually. These problem sets should be turned in on the due date in the syllabus.

Computer Software u You can use EXCEL for Windows at the CBA Netlab and elsewhere across campus. You can also buy and install it on your computer; if so, be sure to install the free ANALYSIS PAK provided by Microsoft and the free software provided with the textbook. We will use it for homework. You can run it in Netlab or on any IBM compatible PC. The problem data is on the network or on the free CD ROM in order to do the problems.

Schedule of Major Events u Midterm Thursday, Mar 1 u Ch. 1- 4, 6, 7 & 13 (50 pts) u Cumulative Final Exam (80 points): u Th May 10 from 12 to 2pm for the 1:30pm section and Tu May 8 from 2:15-4:15 for the 3pm section

u A Note on Exams: u You can bring an 8.5 x 11 sheet of notes to the exams. If you miss the midterm through due to documented sickness, the there will be no make-up midterm but instead more weight will be placed on the corresponding section of the comprehensive final exam.

u Chapter 1 Objectives u This chapter introduces the field of statistics by linking statistical thinking to the understanding and management of variability.

Upon completion of this chapter you should understand: u 1. The difference between samples and populations. u 2. The difference between categorical and numerical variables. u 3. The difference between discrete and continuous variables. u 4. The difference between various sampling methods.

Why Take Samples from Populations? u Less Costly u Quicker u More Accuracy u Feasible To Do

Kinds of Samples u Random u Systematic u Stratified u Cluster u Convenience (see 7.4 for more detail)

Measure the Sample With: u Categorical Scales u Numerical Scales - discrete u Numerical Scales - continuous

The Idea is to Infer from the Sample to the Population