May 1, 2024
4 minute read
Expected value is a fundamental concept in probability theory that measures the average outcome of a random variable. It's calculated by multiplying each possible outcome by its probability and then summing these products. Expected value is widely used in various fields, including statistics, finance, and decision-making.
Why Learn Expected Values?
Understanding expected values offers numerous benefits:
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Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Expected Values.
Provides a comprehensive look at the fundamental concept of expected value, discussing how economists use this concept. Beyond the applications in economics, the book also discusses the philosophical implications raised by the expected value concept.
Provides a unique perspective on expected value, focusing on the concept of expected information. It valuable resource for anyone interested in the foundations of probability and information theory.
Explores the use of expected utility theory in risk analysis. It provides a comprehensive overview of the theory and its applications, making it a valuable resource for professionals in the field.
Explores the use of expected value in game theory. It provides a comprehensive overview of the theory and its applications, making it a valuable resource for professionals in the field.
Advanced readers will enjoy this comprehensive review of expected value as it applies to imperfect markets.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/o8x09o/expected