About this Course

35,066 recent views
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 10 hours to complete
English
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 10 hours to complete
English

Offered by

Placeholder

University of London

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Using Graphs to Describe Data

3 hours to complete
9 videos (Total 42 min)
9 videos
Introduction - Using graphs to describe data3m
1. Decision Making in an Uncertain Environment3m
2. Population and Sample4m
3. Parameters and Statistics3m
4. Descriptive and Inferential Statistics11m
5. Graphs to Describe Numerical Values7m
6. Shape of a Distribution2m
Summary2m
2 practice exercises
Quiz: Categorical and Numerical Variables30m
End of Week Quiz30m
Week
2

Week 2

2 hours to complete

Using Measures to Describe Data

2 hours to complete
10 videos (Total 55 min)
10 videos
1. Descriptive Statistics- Using Measures to Describe Data3m
2. Measures of Central Tendency and Location8m
3. Mean, Median, and Mode- Which is Best?3m
4. Shape of a Distribution5m
5. Measures of Variability12m
5.1 Measures of Variability: Examples9m
6. Weighted Mean1m
7. Measures of Relationships Between Variables4m
Summary2m
2 practice exercises
Summative Questions30m
End of Week Quiz30m
Week
3

Week 3

2 hours to complete

Probability and Probability Distributions

2 hours to complete
18 videos (Total 43 min)
18 videos
1. Introduction1m
2. Random Experiment2m
3. Events4m
4: Probability1m
4.1: The Definition of Probability3m
4.2: Probability Rules1m
4.3: The Addition Rule of Probabilities2m
4.4: Conditional Probability2m
4.5: The Multiplication Rule of Probabilities49s
5: Random Variables2m
5.1: The Probability Distribution Function2m
6: Properties of Discrete Random Variables1m
6.1: The Variance of a Discrete Random Variable1m
7. Continuous Random Variables3m
8. The Probability Density Function1m
9. The Expectations for Continuous Random Variables3m
Probability and Probability Distributions - Summary2m
2 practice exercises
Summative Questions30m
End of Week Quiz30m
Week
4

Week 4

4 hours to complete

Statistical Estimation

4 hours to complete
22 videos (Total 84 min), 4 readings, 3 quizzes
22 videos
1. Statistical Estimation47s
2. Estimator and Estimate1m
2.1. Point Estimator and Point Estimate1m
2.2. Unbiased2m
2.3. Efficiency2m
3. Confidence Interval Estimation4m
3.1 Confidence Intervals, Part 112m
3.1 Confidence Intervals, Part 24m
4. Testing Hypothesis2m
4.1. Formulation of the Null Hypothesis and the Alternative Hypothesis3m
4.2. Test Statistic56s
4.2.1. The Decision Rule2m
4.2.2. Types of Errors1m
4.2.3. Performing the Test and the Decision Rule3m
4.2.3.1 Hypothesis Testing: Examples7m
5. Regression Model5m
Statistical Estimation - Summary3m
1. Further on the Linear Regression Model3m
2. Deriving the OLS b2m
3.The Statistical Properties of the OLS b4m
4. Gauss-Marcov Theorem Proof3m
4 readings
Practice exercise10m
Solution to practice exercise10m
Practice exercise10m
Solutions to practice exercise10m
2 practice exercises
End of Week30m
End of Course Quiz30m

Reviews

TOP REVIEWS FROM STATISTICS FOR INTERNATIONAL BUSINESS

View all reviews

About the International Business Essentials Specialization

International Business Essentials

Frequently Asked Questions

More questions? Visit the Learner Help Center.