| PreM.B.A. Analytical Methods
Learn analytical techniques to help you succeed in an M.B.A. program.
| Timeframe: | Self-paced and dependent upon the student | | Completion Date: | Six weeks after enrollment | | Prerequisites: | None | | Suite Price: | US $195 |
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How is this course relevant?
For many incoming students, mathematics and statistics are the most daunting aspects of an M.B.A. program. Students with an undergraduate degree in the liberal arts or those entering an M.B.A. program after several years in the workforce may worry that they have forgotten the mathematical concepts necessary for success in business school. "PreM.B.A. Analytical Methods" provides grounding in the mathematical and statistical techniques encountered in an M.B.A. program. It includes pre- and post-assessments that allow you to evaluate your mastery of course content before and after studying the course material. It also features practice items of varying degrees of difficulty to help you learn concepts and gauge your knowledge.
Who should take this course?
"PreM.B.A. Analytical Methods" is for students who are about to enter an M.B.A. program, whether you need a comprehensive refresher in algebra and statistics or just want to make sure that you are appropriately prepared for M.B.A. coursework. It is designed to help you assess your preparedness and ensure you start off your M.B.A. with the fundamental knowledge and skills required for future success.
What is covered in this course?
"PreM.B.A. Analytical Methods" provides a foundation in M.B.A.-level mathematical and statistical techniques.
Learning Outcomes:
Algebra - Solve business problems by constructing and solving equations that have one or more unknowns.
- Construct inequalities and calculate the intervals on which their solutions lie.
- Identify functions and determine their domains and ranges.
- Recognize the slope and y—intercept of linear functions.
Precalculus - Solve business problems using exponents, roots, and logarithms.
- Identify common nonlinear functions used in business as well as determine the slope and maximum and minimum points of these functions.
Probability Distributions - Describe the essential rules of probability and solve simple, business-related probability problems.
- Differentiate between discrete and continuous variables and interpret discrete and continuous probability distributions.
- Calculate the expected value, variance, standard deviation, covariance, and correlation of discrete probability distributions.
- Identify a normal distribution and explain the significance of a normal distribution's mean and standard deviation.
- Calculate a random variable's Z score using a distribution table and compare two standardized variables.
Statistical Sampling and Regression - Describe the characteristics of an unbiased sample.
- Calculate a sample's confidence intervals as well as measures of central tendency and dispersion.
- Calculate a sample's t—value.
- Interpret a simple linear regression.
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