À propos de ce cours
3.6
102 notes
27 avis
Spécialisation
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100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Heures pour terminer

Approx. 17 heures pour terminer

Recommandé : 4 weeks of study, 5 hours per week...
Langues disponibles

Anglais

Sous-titres : Anglais
Spécialisation
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Heures pour terminer

Approx. 17 heures pour terminer

Recommandé : 4 weeks of study, 5 hours per week...
Langues disponibles

Anglais

Sous-titres : Anglais

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
Heures pour terminer
3 heures pour terminer

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. ...
Reading
9 videos (Total 42 min), 3 quiz
Video9 vidéos
Introduction - Using graphs to describe data3 min
1. Decision Making in an Uncertain Environment3 min
2. Population and Sample4 min
3. Parameters and Statistics3 min
4. Descriptive and Inferential Statistics11 min
5. Graphs to Describe Numerical Values7 min
6. Shape of a Distribution2 min
Summary2 min
Quiz2 exercices pour s'entraîner
Quiz: Categorical and Numerical Variables8 min
End of Week Quiz10 min
Semaine
2
Heures pour terminer
1 heure pour terminer

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....
Reading
10 videos (Total 55 min), 2 quiz
Video10 vidéos
1. Descriptive Statistics- Using Measures to Describe Data3 min
2. Measures of Central Tendency and Location8 min
3. Mean, Median, and Mode- Which is Best?3 min
4. Shape of a Distribution5 min
5. Measures of Variability12 min
5.1 Measures of Variability: Examples9 min
6. Weighted Mean1 min
7. Measures of Relationships Between Variables4 min
Summary2 min
Quiz2 exercices pour s'entraîner
Summative Questions12 min
End of Week Quiz10 min
Semaine
3
Heures pour terminer
1 heure pour terminer

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… 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. ...
Reading
18 videos (Total 43 min), 2 quiz
Video18 vidéos
1. Introduction1 min
2. Random Experiment2 min
3. Events4 min
4: Probability1 min
4.1: The Definition of Probability3 min
4.2: Probability Rules1 min
4.3: The Addition Rule of Probabilities2 min
4.4: Conditional Probability2 min
4.5: The Multiplication Rule of Probabilities min
5: Random Variables2 min
5.1: The Probability Distribution Function2 min
6: Properties of Discrete Random Variables1 min
6.1: The Variance of a Discrete Random Variable1 min
7. Continuous Random Variables3 min
8. The Probability Density Function1 min
9. The Expectations for Continuous Random Variables3 min
Probability and Probability Distributions - Summary2 min
Quiz2 exercices pour s'entraîner
Summative Questions10 min
End of Week Quiz10 min
Semaine
4
Heures pour terminer
5 heures pour terminer

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. ...
Reading
22 videos (Total 84 min), 4 lectures, 3 quiz
Video22 vidéos
1. Statistical Estimation min
2. Estimator and Estimate1 min
2.1. Point Estimator and Point Estimate1 min
2.2. Unbiased2 min
2.3. Efficiency2 min
3. Confidence Interval Estimation4 min
3.1 Confidence Intervals, Part 112 min
3.1 Confidence Intervals, Part 24 min
4. Testing Hypothesis2 min
4.1. Formulation of the Null Hypothesis and the Alternative Hypothesis3 min
4.2. Test Statistic min
4.2.1. The Decision Rule2 min
4.2.2. Types of Errors1 min
4.2.3. Performing the Test and the Decision Rule3 min
4.2.3.1 Hypothesis Testing: Examples7 min
5. Regression Model5 min
Statistical Estimation - Summary3 min
1. Further on the Linear Regression Model3 min
2. Deriving the OLS b2 min
3.The Statistical Properties of the OLS b4 min
4. Gauss-Marcov Theorem Proof3 min
Reading4 lectures
Practice exercise10 min
Solution to practice exercise10 min
Practice exercise10 min
Solutions to practice exercise10 min
Quiz2 exercices pour s'entraîner
End of Week8 min
End of Course Quiz56 min
3.6
27 avisChevron Right

Meilleurs avis

par AMAug 17th 2017

Very challenging , kind of forgetting my college statistics

Enseignant

Avatar

George Kapetanios

Professor of Finance and Econometrics
King's College London

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À propos de la Spécialisation 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....
International Business Essentials

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