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Hypothesis Testing: A Visual Introduction To Statistical Significance,Used
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Hypothesis Testing & Statistical SignificanceIf you are looking for a short beginners guide packed with visual examples, this booklet is for you.Statistical significance is a way of determining if an outcome occurred by random chance, or did something cause that outcome to be different than the expected baseline. Statistical significance calculations find their way into scientific and engineering tests of all kinds, from medical tests with control group and a testing group, to the analysis of how strong a newly made batch of parts is. Those same calculations are also used in investment decisions.This book goes through all the major types of statistical significance calculations, and works through an example using them, and explains when you would use that specific type instead of one of the others. Just as importantly, this book is loaded with visual examples of what exactly statistical significance is, and the book doesnt assume that you have prior in depth knowledge of statistics or that use regularly use an advanced statistics software package. If you know what an average is and can use Excel, this book will build the rest of the knowledge, and do so in an intuitive way. For instance did you know thatStatistical Significance Can Be Easily Understood By Rolling A Few Dice?In fact, you probably already know this key concept in statistical significance, although you might not have made the connection. The concept is this. Roll a single die. Is any number more likely to come up than another ? No, they are all equally likely. Now roll 2 dice and take their sum. Suddenly the number 7 is the most likely sum (which is why casinos win on it in craps). The probability of the outcome of any single die didnt change, but the probability of the outcome of the average of all the dice rolled became more predictable. If you keep increasing the number of dice rolled, the outcome of the average gets more and more predictable. This is the exact same effect that is at the heart of all the statistical significance equations (and is explained in more detail in the book)You Are Looking At Revision 2 Of This BookThe book that you are looking at on Amazon right now is the second revision of the book. Earlier I said that you might have missed the intuitive connections to statistical significance that you already knew. Well that is because I missed them in the first release of this book. The first release included examples for the major types of statistical significanceA ZTestA 1 Sample TTestA Paired T TestA 2 Sample TTest with equal varianceA 2 Sample Ttest with unequal varianceDescriptions of how to use a Ttable and a ZtableAnd those examples were good for what they were, but were frankly not significantly different than you could find in many statistics textbooks or on Wikipedia. However this revision builds on those examples, draws connections between them, and most importantly explains concepts such as the normal curve or statistical significance in a way that will stick with you even if you dont remember the exact equation.If you are a visual learner and like to learn by example, this intuitive booklet might be a good fit for you. Statistical Significance is fascinating topic and likely touches your life every single day. It is a very important tool that is used in data analysis throughout a widerange of industries so take an easy dive into the topic with this visual approach!
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- Q: What is the page count of the book? A: The book contains one hundred six pages. This length provides a concise yet comprehensive overview of hypothesis testing and statistical significance.
- Q: What are the dimensions of the book? A: The book measures eight inches in length, ten inches in height, and zero point twenty-eight inches in width. These dimensions make it easy to handle and read.
- Q: What type of binding does the book have? A: The book is paperback bound. This binding style is lightweight and flexible, making it convenient for readers.
- Q: How can I effectively use this book? A: You can use this book as a beginner's guide to understanding statistical significance. It offers visual examples and intuitive explanations to grasp complex concepts.
- Q: Is this book suitable for beginners? A: Yes, this book is designed for beginners. It does not assume prior knowledge of statistics and uses simple language and visuals to explain concepts.
- Q: What kind of examples does the book include? A: The book includes examples of various statistical significance calculations, such as Z-tests and T-tests. These practical illustrations help clarify the concepts presented.
- Q: How should I store this book? A: Store this book in a cool, dry place away from direct sunlight. Proper storage will help preserve its quality and readability over time.
- Q: Can I clean the book if it gets dirty? A: Yes, you can gently wipe the cover with a damp cloth. Avoid using harsh chemicals to prevent damage to the book's surface.
- Q: Is there any specific audience this book is aimed at? A: This book is particularly aimed at visual learners and beginners in statistics. It is suitable for anyone interested in data analysis across various fields.
- Q: How does this book compare to traditional statistics textbooks? A: This book focuses on visual learning and intuitive understanding, unlike traditional textbooks that may be more text-heavy and complex. It simplifies the learning process.
- Q: What if I receive a damaged book? A: If you receive a damaged book, you should contact the seller for a return or exchange. Most sellers have policies in place for such situations.
- Q: Is there a warranty for this book? A: Generally, books do not come with a warranty. However, check with the seller regarding their specific return and exchange policies.
- Q: How do I access more resources on hypothesis testing? A: You can refer to additional educational materials or online courses on statistics for more in-depth learning. This book serves as a foundational resource.
- Q: Are there any prerequisites for reading this book? A: No, there are no prerequisites for reading this book. It is designed to be accessible to anyone with a basic understanding of averages.
- Q: Can this book help with professional data analysis? A: Yes, this book provides essential knowledge of statistical significance that is useful in professional data analysis across various industries.