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.
Este curso faz parte do Programa de cursos integrados International Business Essentials
Statistics for International Business
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Aprox. 16 horas para completar
Sugerido: 4 weeks of study, 5 hours per week
Inglês
Legendas: Inglês
Programa - O que você aprenderá com este curso
3 horas para concluir
Using 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.
3 horas para concluir
9 vídeos (Total 42 mín.)
9 videos
Introduction - Using graphs to describe data3min
1. Decision Making in an Uncertain Environment3min
2. Population and Sample4min
3. Parameters and Statistics3min
4. Descriptive and Inferential Statistics11min
5. Graphs to Describe Numerical Values7min
6. Shape of a Distribution2min
Summary2min
2 exercícios práticos
Quiz: Categorical and Numerical Variables8min
End of Week Quiz10min
1 hora para concluir
Using 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.
1 hora para concluir
10 vídeos (Total 55 mín.)
10 videos
1. Descriptive Statistics- Using Measures to Describe Data3min
2. Measures of Central Tendency and Location8min
3. Mean, Median, and Mode- Which is Best?3min
4. Shape of a Distribution5min
5. Measures of Variability12min
5.1 Measures of Variability: Examples9min
6. Weighted Mean1min
7. Measures of Relationships Between Variables4min
Summary2min
2 exercícios práticos
Summative Questions12min
End of Week Quiz10min
1 hora para concluir
Probability 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…
1 hora para concluir
18 vídeos (Total 43 mín.)
18 videos
1. Introduction1min
2. Random Experiment2min
3. Events4min
4: Probability1min
4.1: The Definition of Probability3min
4.2: Probability Rules1min
4.3: The Addition Rule of Probabilities2min
4.4: Conditional Probability2min
4.5: The Multiplication Rule of Probabilities49s
5: Random Variables2min
5.1: The Probability Distribution Function2min
6: Properties of Discrete Random Variables1min
6.1: The Variance of a Discrete Random Variable1min
7. Continuous Random Variables3min
8. The Probability Density Function1min
9. The Expectations for Continuous Random Variables3min
Probability and Probability Distributions - Summary2min
2 exercícios práticos
Summative Questions10min
End of Week Quiz10min
5 horas para concluir
Statistical 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.
5 horas para concluir
22 vídeos (Total 84 mín.), 4 leituras, 3 testes
22 videos
1. Statistical Estimation47s
2. Estimator and Estimate1min
2.1. Point Estimator and Point Estimate1min
2.2. Unbiased2min
2.3. Efficiency2min
3. Confidence Interval Estimation4min
3.1 Confidence Intervals, Part 112min
3.1 Confidence Intervals, Part 24min
4. Testing Hypothesis2min
4.1. Formulation of the Null Hypothesis and the Alternative Hypothesis3min
4.2. Test Statistic56s
4.2.1. The Decision Rule2min
4.2.2. Types of Errors1min
4.2.3. Performing the Test and the Decision Rule3min
4.2.3.1 Hypothesis Testing: Examples7min
5. Regression Model5min
Statistical Estimation - Summary3min
1. Further on the Linear Regression Model3min
2. Deriving the OLS b2min
3.The Statistical Properties of the OLS b4min
4. Gauss-Marcov Theorem Proof3min
4 leituras
Practice exercise10min
Solution to practice exercise10min
Practice exercise10min
Solutions to practice exercise10min
2 exercícios práticos
End of Week8min
End of Course Quiz56min
Avaliações
Principais avaliações do STATISTICS FOR INTERNATIONAL BUSINESS
por BNov 1, 2018
A good course about statistics. Quite difficult to be honest and I felt sometimes a lack of strong explanations (specially week 3).
por AMAug 16, 2017
Very challenging , kind of forgetting my college statistics
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Universidade de Londres
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
Sobre Programa de cursos integrados 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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