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Statistics for International Business
  • Level Foundation
  • Duration 10 hours
  • Course by University of London
  • Offered by

About

This course introduces core areas of statistics that will be useful in business and for several MBA modules. It covers a variety of ways to present data, probability, and statistical estimation. You can test your understanding as you progress, while more advanced content is available if you want to push yourself. This course forms part of a specialisation from the University of London designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in international business, or in further study. If completed successfully, your certificate from this specialisation can also be used as part of the application process for the University of London Global MBA programme, particularly for early career applicants. If you would like more information about the Global MBA, please visit https://mba.london.ac.uk/. This course is endorsed by CMI

Modules

Welcome to the Course!

    • 1 Videos
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1 Videos

  • Welcome to Statistics for International Business

Week One: Using Graphs to Describe Data

    • 8 Videos
    • 1 PeerReview
    • 2 Assignment
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2 Assignment

  • Quiz: Categorical and Numerical Variables
  • End of Week Quiz

1 Peer Review

  • Peer Review: Using Graphs to Describe Data

8 Videos

  • Introduction - Using graphs to describe data
  • 1. Decision Making in an Uncertain Environment
  • 2. Population and Sample
  • 3. Parameters and Statistics
  • 4. Descriptive and Inferential Statistics
  • 5. Graphs to Describe Numerical Values
  • 6. Shape of a Distribution
  • Summary

Week Two: Using Measures to Describe Data

    • 10 Videos
    • 2 Assignment
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2 Assignment

  • Summative Questions
  • End of Week Quiz

10 Videos

  • Introduction- Using Measures to Describe Data
  • 1. Descriptive Statistics- Using Measures to Describe Data
  • 2. Measures of Central Tendency and Location
  • 3. Mean, Median, and Mode- Which is Best?
  • 4. Shape of a Distribution
  • 5. Measures of Variability
  • 5.1 Measures of Variability: Examples
  • 6. Weighted Mean
  • 7. Measures of Relationships Between Variables
  • Summary

Probability and Probability Distributions

    • 18 Videos
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18 Videos

  • Probability and Probability Distributions - An Introduction
  • 1. Introduction
  • 2. Random Experiment
  • 3. Events
  • 4: Probability
  • 4.1: The Definition of Probability
  • 4.2: Probability Rules
  • 4.3: The Addition Rule of Probabilities
  • 4.4: Conditional Probability
  • 4.5: The Multiplication Rule of Probabilities
  • 5: Random Variables
  • 5.1: The Probability Distribution Function
  • 6: Properties of Discrete Random Variables
  • 6.1: The Variance of a Discrete Random Variable
  • 7. Continuous Random Variables
  • 8. The Probability Density Function
  • 9. The Expectations for Continuous Random Variables
  • Probability and Probability Distributions - Summary

Week Three: Probability and Probability Distributions

    • 2 Assignment
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2 Assignment

  • Summative Questions
  • End of Week Quiz

Week Four: Statistical Estimation

    • 18 Videos
    • 4 Readings
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18 Videos

  • Statistical Estimation - An Introduction
  • 1. Statistical Estimation
  • 2. Estimator and Estimate
  • 2.1. Point Estimator and Point Estimate
  • 2.2. Unbiased
  • 2.3. Efficiency
  • 3. Confidence Interval Estimation
  • 3.1 Confidence Intervals, Part 1
  • 3.1 Confidence Intervals, Part 2
  • 4. Testing Hypothesis
  • 4.1. Formulation of the Null Hypothesis and the Alternative Hypothesis
  • 4.2. Test Statistic
  • 4.2.1. The Decision Rule
  • 4.2.2. Types of Errors
  • 4.2.3. Performing the Test and the Decision Rule
  • 4.2.3.1 Hypothesis Testing: Examples
  • 5. Regression Model
  • Statistical Estimation - Summary

4 Readings

  • Practice exercise
  • Solution to practice exercise
  • Practice exercise
  • Solutions to practice exercise

Statistical Estimation: End of Week Quiz

    • 1 Assignment
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1 Assignment

  • End of Week

End of Course Quiz

    • 1 PeerReview
    • 1 Assignment
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1 Assignment

  • End of Course Quiz

1 Peer Review

  • Summative Assignment

Optional Content- Statistical Estimation

    • 4 Videos
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4 Videos

  • 1. Further on the Linear Regression Model
  • 2. Deriving the OLS b
  • 3.The Statistical Properties of the OLS b
  • 4. Gauss-Marcov Theorem Proof

Auto Summary

"Statistics for International Business" is a foundational course offered by Coursera, designed for those in the Business & Management domain. Led by the University of London, it covers essential statistical concepts such as data presentation, probability, and estimation. Ideal for aspiring international business professionals or MBA students, the course includes interactive elements to test understanding and advanced content for deeper learning. Endorsed by CMI, it offers flexible subscription options and can support applications to the University of London Global MBA programme.

George Kapetanios
Instructor

George Kapetanios