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R: Data Analysis and Visualization by Ágnes Vidovics-Dancs, Kata Váradi, Tamás Vadász, Ágnes Tuza, Balázs Árpád Szucs, Julia Molnár, Péter Medvegyev, Balázs Márkus, István Margitai, Péter Juhász, Dániel Havran, Gergely Gabler, Barbara Dömötör, Gergely Daróczi, Ádám Banai, Milán Badics, Ferenc Illés, Edina Berlinger, Bater Makhabel, Hrishi V. Mittal, Jaynal Abedin, Brett Lantz, Tony Fischetti

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Chapter 6. Testing Hypotheses

The salt-and-pepper of inferential statistics is estimation and testing hypotheses. In the last chapter, we talked about estimation and making certain inferences about the world. In this chapter, we will be talking about how to test the hypotheses on how the world works and evaluate the hypotheses using only sample data.

In the last chapter, I promised that this would be a very practical chapter, and I'm a man of my word; this chapter goes over a broad range of the most popular methods in modern data analysis at a relatively high level. Even so, this chapter might have a little more detail than the lazy and impatient would want. At the same time, it will have way too little detail than what the extremely curious and ...

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