QUA537
Syllabus
QUA 537 Statistical Methods for Business
Instructor:
Dr Ali M Aljumaah (ajumaah@ksu.edu.sa ; http://faculty.ksu.edu.sa/aljumaah)
Quantitative Analysis Department, College of Business
Textbook:
PASW Statistics 18 Guide to Data Analysis
March 11, 2010 0321690583 978-0321690586
The PASW Statistics 18 Guide to Data Analysis is a friendly introduction to both data analysis and PASW Statistics 18 (formerly SPSS Statistics), the world’s leading desktop statistical software package. Easy-to-understand explanations and in-depth content make this guide both an excellent supplement to other statistics texts and a superb primary text for any introductory data analysis course. With this book, you’ll learn how to describe data, test hypotheses, and examine relationships using PASW.
Author Marija Norušis incorporates a wealth of real data, including the General Social Survey and studies of Internet usage, opinions of the criminal justice system, marathon running times, library patronage, and the importance of manners, throughout the examples and expanded chapter exercises. This unique combination of examples, exercises, and contemporary data gives you hands-on experience in analyzing data and makes learning about data analysis and statistical software relevant, unintimidating, and even fun!
A data CD-ROM is included with this book.
Course Structure
|
Week |
Subject |
|
1 |
Introduction, Data Structure, Presenting Data, Data manipulation using SPSS. |
|
2 |
Descriptive Statistics, Statistics and Variability, Counting Responses, Comparing Groups. |
|
3 |
Combining variables’ Presentation, Plotting Data, Explanatory Data Analysis (EDA). |
|
4 |
Understanding concepts, The Normal Distribution. |
|
5 |
Confidence Intervals, Hypothesis Testing: Signal Mean, Two Related Means. |
|
6 |
Hypothesis Testing: Two Independent Means. |
|
7 |
ANOVA one way analysis of variance. |
|
8 |
GLM Univariate Analysis. |
|
9 |
Bivariate and partial Correlations |
|
10 |
MT |
|
11 |
Regression Analysis, Measuring Associations. |
|
12 |
Nonparametric Tests. Chi-Square Analysis |
|
13 |
Factor and Discriminant Analysis |
|
14 |
Overall review |
Learning Outcomes
1.
Students can describe basic statistics concepts and apply proper sampling methods.
2.
Students can compute basic descriptive statistics.
3.
Student can describe a normal distribution and apply the concepts of the normal distribution to that of sampling distributions.
4.
Students can construct confidence intervals for both numerical and categorical data, and can apply to a real-world business scenario.
5.
Students can use numerical or categorical data to assess the validity of statements made in a business setting.
6.
Students can perform simple and multiple regression analysis.
7.
Students can link statistical methodologies to business decisions.
Grading:
Your final grade will be determined as follows:
·
Final Exam 40%
·
Midterm Exam 20%
·
Project 20%
·
Assignments and quizzes 20%
Assignments, Quizzes and Exams:
Both Final and midterm exam will be 2 hours long. See the course schedule for the dates of the midterm and the final exam. A number of quizzes will be given through the semester where each quiz will consist of 2 to 3 multiple choice questions covering the previous lecture content. Quizzes will be given by the beginning of the lecture in a window time of 10 minutes. The quizzes and exams are open-notes, open-book, open-calculator, and open computer. IMPORTANT: the time limits will be strictly followed; there isn’t much time to refer to notes and the textbook during a quiz/exam, so it’s important to be well-prepared for the quizzes and exam. The quizzes and exams are non-collaborative. Do not work with anyone else when taking a quiz or exam, and do not discuss the contents of a quiz or exam with anyone (except for me) until the end of the quiz or exam “window.”
The assignments are representative of the concepts/material for each section. We encourage students to use the additional assignments in the text and the student study guide to prepare for the exams. The exams will consist of multiple choice, short answer, and a working knowledge of statistical tests i.e. computations will be calculated for you, interpretation is your job.
If you miss class you are responsible for getting notes and assignments. No late assignments will be accepted and missed quizzes will receive scores of zero unless prior approval to miss class is obtained from the instructor. Makeup exams will be scheduled only if arranged in advance of the scheduled exam date.