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約17時間で修了

推奨:4 weeks of study, 5 hours per week...

英語

字幕:英語

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

約17時間で修了

推奨:4 weeks of study, 5 hours per week...

英語

字幕:英語

シラバス - 本コースの学習内容

1
3時間で修了

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. ...
9件のビデオ (合計42分), 3 quizzes
9件のビデオ
Introduction - Using graphs to describe data3 分
1. Decision Making in an Uncertain Environment3 分
2. Population and Sample4 分
3. Parameters and Statistics3 分
4. Descriptive and Inferential Statistics11 分
5. Graphs to Describe Numerical Values7 分
6. Shape of a Distribution2 分
Summary2 分
2の練習問題
Quiz: Categorical and Numerical Variables8 分
End of Week Quiz10 分
2
1時間で修了

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....
10件のビデオ (合計55分), 2 quizzes
10件のビデオ
1. Descriptive Statistics- Using Measures to Describe Data3 分
2. Measures of Central Tendency and Location8 分
3. Mean, Median, and Mode- Which is Best?3 分
4. Shape of a Distribution5 分
5. Measures of Variability12 分
5.1 Measures of Variability: Examples9 分
6. Weighted Mean1 分
7. Measures of Relationships Between Variables4 分
Summary2 分
2の練習問題
Summative Questions12 分
End of Week Quiz10 分
3
1時間で修了

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. ...
18件のビデオ (合計43分), 2 quizzes
18件のビデオ
1. Introduction1 分
2. Random Experiment2 分
3. Events4 分
4: Probability1 分
4.1: The Definition of Probability3 分
4.2: Probability Rules1 分
4.3: The Addition Rule of Probabilities2 分
4.4: Conditional Probability2 分
4.5: The Multiplication Rule of Probabilities49
5: Random Variables2 分
5.1: The Probability Distribution Function2 分
6: Properties of Discrete Random Variables1 分
6.1: The Variance of a Discrete Random Variable1 分
7. Continuous Random Variables3 分
8. The Probability Density Function1 分
9. The Expectations for Continuous Random Variables3 分
Probability and Probability Distributions - Summary2 分
2の練習問題
Summative Questions10 分
End of Week Quiz10 分
4
5時間で修了

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. ...
22件のビデオ (合計84分), 4 readings, 3 quizzes
22件のビデオ
1. Statistical Estimation47
2. Estimator and Estimate1 分
2.1. Point Estimator and Point Estimate1 分
2.2. Unbiased2 分
2.3. Efficiency2 分
3. Confidence Interval Estimation4 分
3.1 Confidence Intervals, Part 112 分
3.1 Confidence Intervals, Part 24 分
4. Testing Hypothesis2 分
4.1. Formulation of the Null Hypothesis and the Alternative Hypothesis3 分
4.2. Test Statistic56
4.2.1. The Decision Rule2 分
4.2.2. Types of Errors1 分
4.2.3. Performing the Test and the Decision Rule3 分
4.2.3.1 Hypothesis Testing: Examples7 分
5. Regression Model5 分
Statistical Estimation - Summary3 分
1. Further on the Linear Regression Model3 分
2. Deriving the OLS b2 分
3.The Statistical Properties of the OLS b4 分
4. Gauss-Marcov Theorem Proof3 分
4件の学習用教材
Practice exercise10 分
Solution to practice exercise10 分
Practice exercise10 分
Solutions to practice exercise10 分
2の練習問題
End of Week8 分
End of Course Quiz56 分
3.6
30件のレビューChevron Right

人気のレビュー

by AMAug 17th 2017

Very challenging , kind of forgetting my college statistics

講師

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George Kapetanios

Professor of Finance and Econometrics
King's College London

ロンドン大学(University of London)について

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International Business Essentialsの専門講座について

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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