TERM: | 2021-22 Fall |
COURSE NUMBER: |
BUSI 320 |
COURSE TITLE: |
Statistics for Business |
NAME OF INSTRUCTOR: |
Dr Tetyana Khramova |
CREDIT WEIGHT AND WEEKLY TIME DISTRIBUTION: |
credits 3 (hrs lect 3 - hrs sem 0 - hrs lab 1.5) |
COURSE DESCRIPTION: |
This
course is an introduction to statistical methods and their application
to business decision-making. Descriptive statistics, frequency
distributions, probability and probability distribution, sampling
distributions, statistical inference on means and proportions are
examined. Hands-on experience in using a statistical analysis software
package is provided. Students are expected to have basic familiarity
with computer applications including spreadsheets.
Prerequisites: Mathematics 30-2 |
REQUIRED TEXTS: |
Lecture
notes and handouts: The lectures make use of presentation software;
PDFs of slides will be available for downloading and printing from the
Moodle site. There will be other handouts/manuals/tutorials for you on
Moodle with examples and business cases.
Course Website: BUSI 320 on Moodle (http://moodle.kingsu.ca)
Textbooks: Students are expected to have one of the following textbooks; either physical or digital format is acceptable.
- Essentials of Business Statistics, 5th Edition, Bruce L. Bowerman,
Richard T. O’Connell, Emily S. Murphree, J.B. Orris. Published by
McGraw-Hill Education, 2015 (ISBN 978-0078020537); new text
books are available at the King’s bookstore; the used ones might
be purchased online and you can rent a digital version of this text
from the publisher.
4
th edition works as well
- Statistics for Business and Economics, 13th Edition, David R.
Anderson, Dennis J. , Thomas A. Williams, Jeffrey D. Camm, James J.
Cochran. Published by South-Western College Pub, 2016 (ISBN 978-
1305585317).
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MARK DISTRIBUTION IN PERCENT: |
|
Attendance and in class problem solving | 10% |
Lab | 25% |
Midterm Exam |
25% |
Final Exam |
40% |
|
|
|
100% |
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COURSE OBJECTIVES: |
At the end of this course you will be able to:
- Demonstrate an understanding of what “statistics” is
- Identify the role of statistics in business operations, analysis, etc.
- Analyze the advantages and drawbacks of different methods of viewing and describing data
- Understand how probability, distributions, and hypothesis testing are used in statistics
- Become familiar with some methods of regression analysis
- Interpret the results of statistical analyses and draw conclusions
The laboratory component of this program will enable you to:
- Enhance
your understanding of the various concepts covered in class, by getting
first-hand experience in conducting statistical analyses
- Become familiar with computer-based statistical analysis.
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COURSE OUTLINE: |
An Introduction to Business Statistics Part 1: Descriptive Statistics
- Tabular and Graphical Methods
- - Graphically Summarizing Qualitative Data
- - Graphically Summarizing Quantitative Data
- - Steam-and-Leaf Displays
- - Misleading Graphs and Charts
- Numerical Methods
- - Describing Central Tendency
- - Percentiles, Quartiles, and Box-andWhiskers Displays
- Review
Part 2: Probability & Probability Distributions
- The Concept of Probability
- - Sample Spaces and Events
- - Some Elementary Probability Rules
- - Conditional Probability and Independence
- Discrete Random Variables
- - Two Types of Random Variables
- - Discrete Probability Distributions
- Review
Part 3: Continuous Probability Distributions
- The Uniform Distribution
- - The Normal Probability Distribution
- Review
Part 4: Sampling & Sampling Distributions
- Random Sampling
- - The Sampling Distribution of the Sample Mean
- - The Sampling Distribution of the Sample Proportion
- - Surveys and Errors in Survey Sampling
- Review
Part 5: Statistical Inferences Methods
- Confidence Intervals
- - z-Based Confidence Intervals
- - t- Based Confidence Intervals
- - Sample Size Determination
- - Confidence Intervals for a Population Proportion
- Hypothesis Testing
- - The Null and Alternative Hypotheses
- - Errors in Hypothesis Testing
- - z-Test and t- Test about a Population Mean
- - z-Test about a Population Proportion
- Review
Part 6: Statistical Inferences Based on Two Samples
- - Comparing Two Population Means
- - Paired Difference Experiments
- - Comparing Two Population Proportions
- - The F-Distribution
- - Comparing Two Population Variances
- Finishing Up and Review
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LAB OUTLINE: | - Tabular and Graphical Methods
- Numerical Descriptive Statistics 1
- Numerical Descriptive Statistics 2
- Discrete Probability Distributions
- Binomial Distribution Using Excel
- Poisson Probability Using Excel
- Random Numbers
- Normal Distribution Using Exce
- Confidence Intervals Using Excel
- One-Sample Hypothesis Testing
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