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
Этот курс входит в специализацию ''Специализация International Business Essentials'
Statistics for International Business
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Программа курса: что вы изучите
Неделя
1Using Graphs to Describe Data
In our study of statistics, we learn many methods to help us summarize, analyze, and interpret data with the aim of making informed decisions in an uncertain environment. In this first week we introduce tables and graphs that help us get a handle of data. These tools provide visual support for better decision making. With this in mind, we will guide you through the concept of decisions based on incomplete information. Beginning from here, we will introduce you to the concept of population vs. sample, of parameter vs. statistic and of descriptive statistics vs. inferential statistics. We will then go through the concept of describing data, and we will introduce the idea of creating and interpreting graphs to describe categorical and continuous random variables.
9 видео ((всего 42 мин.)), 3 тестов
9 видео
Introduction - Using graphs to describe data3мин
1. Decision Making in an Uncertain Environment3мин
2. Population and Sample4мин
3. Parameters and Statistics3мин
4. Descriptive and Inferential Statistics11мин
5. Graphs to Describe Numerical Values7мин
6. Shape of a Distribution2мин
Summary2мин
2 практического упражнения
Quiz: Categorical and Numerical Variables8мин
End of Week Quiz10мин
Неделя
2Using Measures to Describe Data
This week we will describe and summarize the information in the data using numerical values or measures that are able to summarise information. This is a crucial extension to the analysis of the previous week. While graphs are informative it is usually crucial for improved understanding of the data at hand to discuss their numerical properties. In this week, we will look at a range of measures, such as measures of central tendency, the range, variance, standard deviation, and so on.
10 видео ((всего 55 мин.)), 2 тестов
10 видео
1. Descriptive Statistics- Using Measures to Describe Data3мин
2. Measures of Central Tendency and Location8мин
3. Mean, Median, and Mode- Which is Best?3мин
4. Shape of a Distribution5мин
5. Measures of Variability12мин
5.1 Measures of Variability: Examples9мин
6. Weighted Mean1мин
7. Measures of Relationships Between Variables4мин
Summary2мин
2 практического упражнения
Summative Questions12мин
End of Week Quiz10мин
Неделя
3Probability and Probability Distributions
Probability theory is a young arrival in mathematics- and probability applied to practice is almost non-existent as a discipline. We should all understand probability, and this lecture will help you to do that. It’s important for you to understand first that the world in which your future occurs is not deterministic- and there are future outcomes where a probability model cannot be developed…
This week, we will cover the basic definition of probability, the rules of probability,random variables, -probability density functions, expectations of a random variable and Bivariate random variables.
18 видео ((всего 43 мин.)), 2 тестов
18 видео
1. Introduction1мин
2. Random Experiment2мин
3. Events4мин
4: Probability1мин
4.1: The Definition of Probability3мин
4.2: Probability Rules1мин
4.3: The Addition Rule of Probabilities2мин
4.4: Conditional Probability2мин
4.5: The Multiplication Rule of Probabilities49
5: Random Variables2мин
5.1: The Probability Distribution Function2мин
6: Properties of Discrete Random Variables1мин
6.1: The Variance of a Discrete Random Variable1мин
7. Continuous Random Variables3мин
8. The Probability Density Function1мин
9. The Expectations for Continuous Random Variables3мин
Probability and Probability Distributions - Summary2мин
2 практического упражнения
Summative Questions10мин
End of Week Quiz10мин
Неделя
4Statistical Estimation
For statistical analysis to work properly, it’s essential to have a proper sample, drawn from a population of items of interest that have measured characteristics. This week, we will cover statistical estimation, sampling distribution of the mean, point estimation, interval estimation, hypothesis testing, the Null hypothesis and look at some real life examples of their use.
22 видео ((всего 84 мин.)), 4 материалов для самостоятельного изучения, 3 тестов
22 видео
1. Statistical Estimation47
2. Estimator and Estimate1мин
2.1. Point Estimator and Point Estimate1мин
2.2. Unbiased2мин
2.3. Efficiency2мин
3. Confidence Interval Estimation4мин
3.1 Confidence Intervals, Part 112мин
3.1 Confidence Intervals, Part 24мин
4. Testing Hypothesis2мин
4.1. Formulation of the Null Hypothesis and the Alternative Hypothesis3мин
4.2. Test Statistic56
4.2.1. The Decision Rule2мин
4.2.2. Types of Errors1мин
4.2.3. Performing the Test and the Decision Rule3мин
4.2.3.1 Hypothesis Testing: Examples7мин
5. Regression Model5мин
Statistical Estimation - Summary3мин
1. Further on the Linear Regression Model3мин
2. Deriving the OLS b2мин
3.The Statistical Properties of the OLS b4мин
4. Gauss-Marcov Theorem Proof3мин
4 материала для самостоятельного изучения
Practice exercise10мин
Solution to practice exercise10мин
Practice exercise10мин
Solutions to practice exercise10мин
2 практического упражнения
End of Week8мин
End of Course Quiz56мин
3.6
Рецензии: 28Лучшие рецензии
автор: AM•Aug 17th 2017
Very challenging , kind of forgetting my college statistics
Преподаватель
George Kapetanios
Professor of Finance and EconometricsKing's College London
О Лондонский университет
The University of London is a federal University which includes 18 world leading Colleges. Our distance learning programmes were founded in 1858 and have enriched the lives of thousands of students, delivering high quality University of London degrees wherever our students are across the globe. Our alumni include 7 Nobel Prize winners. Today, we are a global leader in distance and flexible study, offering degree programmes to over 50,000 students in over 180 countries. To find out more about studying for one of our degrees where you are, visit www.london.ac.uk
О специализации ''International Business Essentials'
This specialisation from the University of London is designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in further study and in international business.
If completed successfully, you may be able to use your certificate from this specialisation as part of the application process for the University of London Global MBA.
This Specialisation is endorsed by CMI.
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