Statistics, Probability, and Cognitive Bias: An Introduction

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Online

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    Course

  • Methodology

    Online

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    Different dates available

Do you want to see the world more clearly? Learn to think like a statistician and question the numbers all around you? Make better decisions at work, when investing, and in life? Then you are in the right place.This course is not a regular introduction to statistics. There will be very little math so you won’t be asked to complete lots of mathematical problem sets. The focus of the course will be on the intuition and practical application of statistics in making better decisions and judgments. We will explore the fundamental ideas and concepts of statistics but with with everyday examples, answering questions such as: if correlation does not equal causation, then what does? have humans really wiped out 60 percent of animals? and do 9 out of 10 dentists actually recommend this toothpaste?You will learn how not to be fooled by data visualizations, and how an understanding of probability can change the way you view everything from prosecuting criminals to financial crises.The course has two sections diving into the world of cognitive bias and the work of Hans Rosling on Factfulness thinking. Our inherent mental biases can affect the way we perceive and interact with the statistics we encounter every day; whether in the news, on social media, or in advertisements. The goal of this section is to learn how to spot these logical fallacies so we can keep them at bay and interpret the world around us more objectively.In the penultimate section, we shall encounter the tricky world of inference, causation, and the trusty work-horse of statistics; regression analysis. This section will explore everything from buying apples, to p-hacking, and to what caused physician John Ioannidis to proclaim that "most published research findings are false".

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Online

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Different dates availableEnrolment now open

About this course

Basic statistics applied to our world, work, and everyday life
Basic probability applied to our world, work, and everyday life - including Bayes' theorem
New insights from behavioral economics, specifically how our mental biases can lead to misinterpreting statistics
The ability to make more informed decisions
The ability to think critically about statistics
A clearer, global worldview

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This centre's achievements

2021

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The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Subjects

  • Probability
  • Statistics

Course programme

Introduction 3 lectures 12:06 What is Statistics and Statistical Thinking? In this lecture I will explain what is statistical thinking and give an overview of the course. How to Construct a Statistic? In this lecture I give a general overview of the typical process of constructing a statistic. Session 1: Wrap-up Introduction 3 lectures 12:06 What is Statistics and Statistical Thinking? In this lecture I will explain what is statistical thinking and give an overview of the course. How to Construct a Statistic? In this lecture I give a general overview of the typical process of constructing a statistic. Session 1: Wrap-up What is Statistics and Statistical Thinking? In this lecture I will explain what is statistical thinking and give an overview of the course. What is Statistics and Statistical Thinking? In this lecture I will explain what is statistical thinking and give an overview of the course. What is Statistics and Statistical Thinking? In this lecture I will explain what is statistical thinking and give an overview of the course. What is Statistics and Statistical Thinking? In this lecture I will explain what is statistical thinking and give an overview of the course. In this lecture I will explain what is statistical thinking and give an overview of the course. In this lecture I will explain what is statistical thinking and give an overview of the course. How to Construct a Statistic? In this lecture I give a general overview of the typical process of constructing a statistic. How to Construct a Statistic? In this lecture I give a general overview of the typical process of constructing a statistic. How to Construct a Statistic? In this lecture I give a general overview of the typical process of constructing a statistic. How to Construct a Statistic? In this lecture I give a general overview of the typical process of constructing a statistic. In this lecture I give a general overview of the typical process of constructing a statistic. In this lecture I give a general overview of the typical process of constructing a statistic. Session 1: Wrap-up Session 1: Wrap-up Session 1: Wrap-up Session 1: Wrap-up The Uses and Misuses of Statistics 1: Sampling 7 lectures 28:48 The Basics of Sampling In this lecture I go over the basic types of sampling, highlighting how even the gathering of data involves human judgement. Selection Bias What is selection bias? In this lecture I explain what it means and give you some common examples. Sample Size In this lecture I talk about the importance of sample size when trying to draw conclusions from data. Dubious Definitions and Questionable Categories Here we look at how the way in which statistics are defined and categorized can alter the conclusions. If at First You Don't Succeed... Multiple Sampling Didn't get the answer you wanted? Try again! In this lecture we discuss multiple sampling. Exercise Session 2: Warp-up The Uses and Misuses of Statistics 1: Sampling 7 lectures 28:48 The Basics of Sampling In this lecture I go over the basic types of sampling, highlighting how even the gathering of data involves human judgement. Selection Bias What is selection bias? In this lecture I explain what it means and give you some common examples. Sample Size In this lecture I talk about the importance of sample size when trying to draw conclusions from data. Dubious Definitions and Questionable Categories Here we look at how the way in which statistics are defined and categorized can alter the conclusions. If at First You Don't Succeed... Multiple Sampling Didn't get the answer you wanted? Try again! In this lecture we discuss multiple sampling. Exercise Session 2: Warp-up The Basics of Sampling In this lecture I go over the basic types of sampling, highlighting how even the gathering of data involves human judgement. The Basics of Sampling In this lecture I go over the basic types of sampling, highlighting how even the gathering of data involves human judgement. The Basics of Sampling In this lecture I go over the basic types of sampling, highlighting how even the gathering of data involves human judgement. The Basics of Sampling In this lecture I go over the basic types of sampling, highlighting how even the gathering of data involves human judgement. In this lecture I go over the basic types of sampling, highlighting how even the gathering of data involves human judgement. In this lecture I go over the basic types of sampling, highlighting how even the gathering of data involves human judgement. Selection Bias What is selection bias? In this lecture I explain what it means and give you some common examples. Selection Bias What is selection bias? In this lecture I explain what it means and give you some common examples. Selection Bias What is selection bias? In this lecture I explain what it means and give you some common examples. Selection Bias What is selection bias? In this lecture I explain what it means and give you some common examples. What is selection bias? In this lecture I explain what it means and give you some common examples. What is selection bias? In this lecture I explain what it means and give you some common examples. Sample Size In this lecture I talk about the importance of sample size when trying to draw conclusions from data. Sample Size In this lecture I talk about the importance of sample size when trying to draw conclusions from data. Sample Size In this lecture I talk about the importance of sample size when trying to draw conclusions from data. Sample Size In this lecture I talk about the importance of sample size when trying to draw conclusions from data. In this lecture I talk about the importance of sample size when trying to draw conclusions from data. In this lecture I talk about the importance of sample size when trying to draw conclusions from data. Dubious Definitions and Questionable Categories Here we look at how the way in which statistics are defined and categorized can alter the conclusions. Dubious Definitions and Questionable Categories Here we look at how the way in which statistics are defined and categorized can alter the conclusions. Dubious Definitions and Questionable Categories Here we look at how the way in which statistics are defined and categorized can alter the conclusions. Dubious Definitions and Questionable Categories Here we look at how the way in which statistics are defined and categorized can alter the conclusions. Here we look at how the way in which statistics are defined and categorized can alter the conclusions. Here we look at how the way in which statistics are defined and categorized can alter the conclusions. If at First You Don't Succeed... Multiple Sampling Didn't get the answer you wanted? Try again! In this lecture we discuss multiple sampling. If at First You Don't Succeed... Multiple Sampling Didn't get the answer you wanted? Try again! In this lecture we discuss multiple sampling. If at First You Don't Succeed... Multiple Sampling Didn't get the answer you wanted? Try again! In this lecture we discuss multiple sampling. If at First You Don't Succeed... Multiple Sampling Didn't get the answer you wanted? Try again! In this lecture we discuss multiple sampling. Didn't get the answer you wanted? Try again! In this lecture we discuss multiple sampling. Didn't get the answer you wanted? Try again! In this lecture we discuss multiple sampling. Exercise Exercise Exercise Exercise Session 2: Warp-up Session 2: Warp-up Session 2: Warp-up Session 2: Warp-up The Uses and Misuses of Statistics 2: Descriptive Statistics 8 lectures 23:05 What Are Descriptive Statistics? An introduction to descriptive statistics. Beware of the Average How can averages be misleading? In this lecture we find out. Beware of the Point Estimate: Don’t Ignore Dispersion Point estimates may not always accurately represent the data - in this lecture we discuss some of the other thing to consider. Problematic Percentages Percentages are notoriously tricky - in this lecture we discuss the main things to look out for when being presented with percentages. Ignoring Scale: The Base Rate Fallacy In this lecture we discuss the base rate fallacy, a common pitfall in statistical thinking. Ignoring Context: Stats do Not Exist in a Vacuum No statistic can be fully understood without context - this lecture looks at the importance of not ignoring it. Units of Measurement and False Comparisons When interpreting any statistic it is important to be clear about what units are being used. Without that, you may fall victim to false comparisons. Session 3: Wrap-up The Uses and Misuses of Statistics 2: Descriptive Statistics. 8 lectures 23:05 What Are Descriptive Statistics? An introduction to descriptive statistics. Beware of the Average How can averages be misleading? In this lecture we find out. Beware of the Point Estimate: Don’t Ignore Dispersion Point estimates may not always accurately represent the data - in this lecture we discuss some of the other thing to consider. Problematic Percentages Percentages are notoriously tricky - in this lecture we discuss the main things to look out for when being presented with percentages. Ignoring Scale: The Base Rate Fallacy In this lecture we discuss the base rate fallacy, a common pitfall in statistical thinking. Ignoring Context: Stats do Not Exist in a Vacuum No statistic can be fully understood without context - this lecture looks at the importance of not ignoring it. Units of Measurement and False Comparisons When interpreting any statistic it is important to be clear about what units are being used. Without that, you may fall victim to false comparisons. Session 3: Wrap-up What Are Descriptive Statistics? An introduction to descriptive statistics. What Are Descriptive Statistics? An introduction to descriptive statistics. What Are Descriptive Statistics? An introduction to descriptive statistics. What Are Descriptive Statistics? An introduction to descriptive statistics. An introduction to descriptive statistics. An introduction to descriptive statistics. Beware of the Average How can averages be misleading? In this lecture we find out. Beware of the Average How can averages be misleading? In this lecture we find out. Beware of the Average How can averages be misleading? In this lecture we find out. Beware of the Average How can averages be misleading? In this lecture we find out. How can averages be misleading? In this lecture we find out. How can averages be misleading? In this lecture we find out /p ...

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Statistics, Probability, and Cognitive Bias: An Introduction

£ 10 + VAT