HB2504
University Of Houston-Victoria
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Course Online Syllabus
Spring 2012
| Department | BUSI | Course Number | 3303 | Section Number | 23751 |
| Name of Course | Stats for Bus/Eco | ||||
| Name of Instructor | Ren,Luh-Yu | ||||
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
- Be able to present data using tabular and graphical approaches and to summarize data using basic numerical descriptive statistical measures
- Understand basic concepts of probability, discrete and continuous random variables, and work with discrete and continuous probability distributions
- Understand different sampling plans, the sampling distribution of a sample statistic, and the Central Limit Theorem
- Understand statistical inference techniques; point and interval estimation and hypothesis testing about a population mean and population proportion
- Understand measures of statistical association - correlation and regression - and estimate and interpret the results of a regression analysis
- Work with statistical software package from Microsoft Excel.
Major Assignments/Exams
| Homework | 10% | ||
| Quiz | 10% | ||
| Exam 1 | 20% | ||
| Exam 2 | 30% | ||
| Exam 3 | 30% |
Required Reading
Anderson, Sweeney & Williams, Essentials of Modern Business Statistics with Microsoft Excel,4 ed., ISBN 0324783515.
Anderson, Sweeney & Williams, Essentials of Modern Business Statistics with Microsoft Excel,4 ed., ISBN 0324783515.
Recommended Reading
No additional readings have been recommended for this course.
List of Discussion/Lecture Topics
- Introduction
- Descriptive Statistic I
- Descriptive Statistic II
- Discrete Probability Distribution
- Review
- Exam 1
- Normal Probability Distribution
- Spring Break
- Interval Estimation
- Review
- Exam 2
- Hypothesis Testing II
- Hypothesis Testing I
- Simple Regression Analysis I
- Simple Regression Analysis II
- Exam 3
- Sampling Distribution
Social Networks
