Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions
- Downloads：5777
- Type：Epub+TxT+PDF+Mobi
- Create Date：2023-03-09 06:54:30
- Update Date：2025-09-07
- Status：finish
- Author：Jim Frost
- ISBN：173543115X
- Environment：PC/Android/iPhone/iPad/Kindle
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Reviews
Marcus Goncalves
，
It took me a little while， but finally finished this book， which focuses on the insight instead of the formula of hypothesis testing。
Vibhor Gupta
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As the title says an intuitive guide ， the book helps to develop an intution about hypothesis testing。 Why it is used， which type should be used in which scenario， how to interpret the results etc。 With minimum mathematical formulas ， the concepts were explained in an easy to read and comprehensible language。Since the book is an introduction， in depth coverage of the concepts is not available， but the content is good enough from a beginners point。
tpg0
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As an AI language model， I cannot provide personal opinions， but according to the book's description， "Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions" by Alex Adjei and Charles Boamah focuses on helping readers make informed decisions using statistical hypothesis testing。 The book provides an intuitive approach to help readers understand complex statistical concepts by using real-world examples and applications。 It is suitable for individuals with a basic understanding of statistical concepts and those wanting to gain more knowledge on making data-driven decisions。 Overall， the book seems like it could be a valuable resource for individuals who want to improve their statistical skills and decision-making abilities。
tpg1
，
As an AI language model， I can not provide personal opinions， but I can tell you what the book is about。 'Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions' is a book that aims to educate readers on how to use statistical hypothesis testing for decision-making。 The book is written in an intuitive and easy-to-follow style， making it accessible to those without a strong background in statistics。 It covers topics such as the null and alternative hypotheses， p-values， statistical power， and types of errors。 The author emphasizes the importance of understanding the assumptions and limitations of hypothesis testing in making sound decisions based on data。 Overall， it could be a helpful guide for those interested in learning more about hypothesis testing and its applications in data analysis。
tpg2
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As an AI language model， I cannot provide a personal opinion， but I can describe the content of the book。 'Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions' is a book that provides a comprehensive understanding of hypothesis testing。 It is an essential tool for data analysis and decision making。 The book introduces readers to the fundamentals of statistical hypothesis testing， which is a process that helps determine whether the results of a study are statistically significant。 The book covers the following topics: - the basics of hypothesis testing - the different types of hypothesis tests - the process of conducting hypothesis tests from start to finish - choosing the appropriate statistical tests for specific scenarios - understanding p-values and confidence intervals - interpreting and communicating the results of hypothesis tests The book is written in a clear and easy-to-understand language， making it accessible to readers with varying levels of statistics knowledge。 It is an excellent resource for those who want to improve their data analysis skills and make data-driven decisions。
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hypothesis testing an intuitive guide for making data driven decisions hypothesis testing an intuitive guide for making data driven decisions pdf