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Course Online Syllabus

Spring 2012

Department BUSICourse Number3303 Section Number24044
Name of Course Stats for Bus/Eco
Name of Instructor Al Nasser,Omar Maher

This information may not constitute all course policies; students are responsible for all course requirements established by their instructors during the semester and all institutional policies as established in the UHV student handbook.


Learning Objectives

As a result of this course, students will

  1. Be able to present data using tabular and graphical approaches and to summarize data using basic numerical descriptive statistical measures
  2. Understand basic concepts of probability, discrete and continuous random variables, and work with discrete and continuous probability distributions
  3. Understand different sampling plans, the sampling distribution of a sample statistic, and the Central Limit Theorem
  4. Understand statistical inference techniques --- point and interval estimation and hypothesis testing about a population mean, population proportion with one population, and about population means and proportions with two populations
  5. Understand measures of statistical association - correlation and regression - and estimate and interpret the results of a regression analysis
  6. Work with statistical software package (Excel)

Major Assignments/Exams

Chapter Quizzes 20 points
Discussion Board Participation 10 points
Midterm Exam 25 points
Final Exam 25 points
Case Problems 20 points

Required Reading

Anderson, Sweeney & Williams, Essentials of Modern Business Statistics with Microsoft Excel,4 ed., ISBN 0324783515.

Special Requirements: Working knowledge of a spreadsheet program, such as Excel, a word processing program, such as MS Word.


Recommended Reading

No additional readings have been recommended for this course.


List of Discussion/Lecture Topics

  • Basic information about this class Course Introduction;Data and Statistics
  • Descriptive Statistics: Tabular and Graphical Presentations
  • Descriptive Statistics
  • Discrete Probability
  • Continuous Probability Distributions
  • Sampling and Sampling Distributions
  • Midterm Exam
  • Interval Estimation
  • Spring Break
  • Hypothesis Testing
  • Hypothesis Testing
  • Simple Linear Regression
  • Simple Linear Regression
  • Multiple Regression
  • Case Study 2 Due
  • Final Exam