When you enroll in this course, you'll also be enrolled in this Specialization.
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
There are 5 modules in this course
Want to solve a murder mystery? What caused your computer to fail? Who can you trust in your everyday life? In this course, you will learn how to analyze and assess five common forms of inductive arguments: generalizations from samples, applications of generalizations, inference to the best explanation, arguments from analogy, and causal reasoning. The course closes by showing how you can use probability to help make decisions of all sorts.
Suggested Readings
Students who want more detailed explanations or additional exercises or who want to explore these topics in more depth should consult Understanding Arguments: An Introduction to Informal Logic, Ninth Edition, Concise, Chapters 8-12, by Walter Sinnott-Armstrong and Robert Fogelin.
Course Format
Each week will be divided into multiple video segments that can be viewed separately or in groups. There will be short ungraded quizzes after each segment (to check comprehension) and a longer graded quiz at the end of the course.
Welcome to Think Again: How to Reason Inductively! This course is the third in the specialization Introduction to Logic and Critical Thinking, based on our original Coursera course titled Think Again: How to Reason and Argue. We are excited that you are taking this course, and we hope that you will take all four courses in the series, because there is a great deal of important material to learn. In the series as a whole, you learn how to analyze and evaluate arguments and how to avoid common mistakes in reasoning. These important skills will be useful to you in deciding what to believe and what to do in all areas of your life. The first part of this course introduces the series and the course. It also clarifies some peculiarities you may find with this course. We encourage you to watch the "Introduction to the Specialization" video first as it will help you learn more from the materials that come later.
What's included
1 video2 readings
Show info about module content
1 video•Total 5 minutes
Introduction to the Specialization•5 minutes
2 readings•Total 20 minutes
Course Logistics (Start Here)•10 minutes
Report a problem with the course•10 minutes
Inductive Arguments
Module 2•8 hours to complete
Module details
This module begins by distinguishing inductive arguments from deductive arguments. Then we discuss four common forms of inductive argument: generalizations from samples (such as in political polls), applications of generalizations to particular cases (such as in predicting weather on a certain day), inferences to the best explanation (such as in using evidence to determine who committed a crime), and arguments from analogy (such as in identifying the use of one archaeological artifact by comparing it to other artifacts). We will expose the most common mistakes in these kinds of reasoning. Some of the "lectures" this module are a bit experimental (and perhaps weird!), as you will see. We hope that you enjoy them. If you want more examples or more detailed discussions of these kinds of inductive arguments, we recommend Understanding Arguments, Ninth Edition, Chapters 8 and 9.
What's included
9 videos8 assignments13 discussion prompts
Show info about module content
9 videos•Total 129 minutes
What Is Induction?•15 minutes
Generalizations from Samples•9 minutes
When are Generalizations Strong?•21 minutes
Applying Generalizations•18 minutes
Another Example of Applying Generalizations (Optional)•17 minutes
Inference to the Best Explanation•8 minutes
Which Explanation Is Best?•15 minutes
A Student Example of Inference to the Best Explanation•8 minutes
Arguments from Analogy•18 minutes
8 assignments•Total 240 minutes
What Is Induction?•30 minutes
Generalizations from Samples•30 minutes
When are Generalizations Strong?•30 minutes
Applying Generalizations•30 minutes
Inference to the Best Explanation•30 minutes
Which Explanation Is Best?•30 minutes
A Student Example: Inference to the Best Explanation•30 minutes
Arguments from Analogy•30 minutes
13 discussion prompts•Total 130 minutes
Share Your Thoughts: Which Is Better?•10 minutes
Share Your Thoughts: When to Trust Inductive Arguments•10 minutes
Share Your Thoughts: Inductive Generalizations•10 minutes
Share Your Thoughts: Large Samples•10 minutes
Share Your Thoughts: Biased Samples•10 minutes
Share Your Thoughts: Applications•10 minutes
Share Your Thoughts: Conflicting Reference Classes•10 minutes
Share Your Thoughts: Are They Inductive?•10 minutes
Share Your Thoughts: Are They Expanations?•10 minutes
Share Your Thoughts: Which Explanation Is Better?•10 minutes
Share Your Thoughts: Explanatory Virtues•10 minutes
Share Your Thoughts: Are They Different?•10 minutes
Share Your Thoughts: Legal Precedents•10 minutes
Causal Reasoning
Module 3•7 hours to complete
Module details
This module will focus on how to decide what causes what. Students will learn how to distinguish necessary conditions from sufficient conditions and how to use data to test hypotheses about what is and what is not a necessary condition or a sufficient condition. Then we will distinguish causation from correlation (or concomitant variation) and explain the fallacy of post hoc ergo propter hoc. It is sad that some diners had to die to make this lesson possible, as you will see.If you want more examples or more detailed discussions of these topics, we recommend Understanding Arguments, Ninth Edition, Chapter 10.
What's included
9 videos8 assignments7 discussion prompts
Show info about module content
9 videos•Total 100 minutes
Causal Reasoning•16 minutes
Negative Sufficient Condition Tests•9 minutes
Positive Sufficient Condition Tests•10 minutes
Negative Necessary Condition Tests•5 minutes
Positive Necessary Condition Tests•7 minutes
Complex Conditions•12 minutes
Correlation Versus Causation•21 minutes
Causal Fallacies•6 minutes
A Student Example: Causal Reasoning About Chocolate•15 minutes
8 assignments•Total 240 minutes
Causal Reasoning•30 minutes
Negative Sufficient Condition Tests•30 minutes
Positive Sufficient Condition Tests•30 minutes
Negative Necessary Condition Tests•30 minutes
Positive Necessary Condition Tests•30 minutes
Complex Conditions•30 minutes
Correlation Versus Causation•30 minutes
Causal Fallacies•30 minutes
7 discussion prompts•Total 70 minutes
Share Your Thoughts: General Rules•10 minutes
Share Your Thoughts: Sufficient or Necessary?•10 minutes
Share Your Thoughts: What Is Normal?•10 minutes
Share Your Thoughts: Adding Further Qualifications•10 minutes
Share Your Thoughts: From Sufficient to Necessary•10 minutes
Share Your Thoughts: Necessary Conjunctions•10 minutes
Share Your Thoughts: When Does Manipulation Work?•10 minutes
Chance and Choice
Module 4•8 hours to complete
Module details
This module will cover chance and choice—in other words, probability and decision making. Probability is useful for measuring the strength of inductive arguments and also for deciding what to believe and what to do. You will learn about the nature and kinds of probability along with four simple rules for calculating probabilities. An optional honors lecture will then explain Bayes’ theorem and the common mistake of overlooking the base rate. Next we will use probabilities to evaluate decisions by figuring their expected financial value and contrasting financial value with overall value. If you want more examples or more detailed discussions of these topics, we recommend Understanding Arguments, Ninth Edition, Chapters 11 and 12
What's included
10 videos9 assignments10 discussion prompts
Show info about module content
10 videos•Total 117 minutes
Why Probability Matters•11 minutes
What Is Probability?•9 minutes
Negation•3 minutes
Conjunction•13 minutes
Disjunction•10 minutes
Series•6 minutes
Bayes Theorem (Optional)•28 minutes
Expected Financial Value•14 minutes
Expected Overall Value•11 minutes
The Sausage Argument: A Student Argument About Decision Making•13 minutes
9 assignments•Total 270 minutes
Why Probability Matters•30 minutes
What Is Probability?•30 minutes
Negation•30 minutes
Conjunction•30 minutes
Disjunction•30 minutes
Series•30 minutes
Bayes Theorem (Optional)•30 minutes
Expected Financial Value•30 minutes
Expected Overall Value•30 minutes
10 discussion prompts•Total 100 minutes
Share Your Thoughts: The Gambler's Fallacy•10 minutes
Share Your Thoughts: The Representativeness Heuristic•10 minutes
Share Your Thoughts: Apriori and Statistical Probability•10 minutes
Share Your Thoughts: Subjective Probablilty•10 minutes
Share Your Thoughts: Determining Independence•10 minutes
Share Your Thoughts: Winning the Lottery•10 minutes
Share Your Thoughts: Playing the Lottery for Ten Years•10 minutes
Share Your Thoughts: Trusting Doctors•10 minutes
Share Your Thoughts: Rationality Under Uncertainty•10 minutes
Share Your Thoughts: There's More to Life than Money•10 minutes
Catch-Up and Final Quiz
Module 5•1 hour to complete
Module details
This module gives you time to catch up and review, because we realize that the previous modules include a great deal of challenging material. It will also be provide enough time to take the final quiz as often as you want, with different questions each time. We explain the answers in each exam so that you can learn more and do better when you try the exam again. You may take the quiz as many times as you want in order to learn more and do better, with different questions each time. You will be able to retake the quiz three times every eight hours. You might not need to take more than one version of the exam if you do well enough on your first try. That is up to you. However many versions you take, we hope that all of the exams will provide additional learning experiences.
What's included
1 reading1 assignment
Show info about module content
1 reading•Total 10 minutes
Share your learning experience•10 minutes
1 assignment•Total 30 minutes
Final Quiz•30 minutes
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors
Instructor ratings
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
What is the coolest thing I'll learn if I take this class?
How to solve a murder mystery.
What are people saying about this class?
“I'd like to thank both professors for the course. It was fun, instructive, and I loved the input from people from all over the world, with their different views and backgrounds.”
“Somewhere in the first couple weeks of the course, I was ruminating over some concept or perhaps over one of the homework exercises and suddenly it occurred to me, "'Is this what thinking is?" Just to clarify, I come from a thinking family and have thought a lot about various concepts and issues throughout my life and career...but somehow I realized that, even though I seemed to be thinking all the time, I hadn't been doing this type of thinking for quite some time...so, thanks!”
“The rapport between Dr. Sinott-Armstrong and Dr. Neta and their senses of humor made the lectures engaging and enjoyable. Their passion for the subject was apparent and they were patient and thorough in their explanations.”
Will I receive a transcript from Duke University for completing this course?
No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.