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Statistical Application Development with R and Python

You're reading from   Statistical Application Development with R and Python Develop applications using data processing, statistical models, and CART

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Product type Paperback
Published in Aug 2017
Publisher
ISBN-13 9781788621199
Length 432 pages
Edition 2nd Edition
Languages
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Author (1):
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Prabhanjan Narayanachar Tattar Prabhanjan Narayanachar Tattar
Author Profile Icon Prabhanjan Narayanachar Tattar
Prabhanjan Narayanachar Tattar
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Toc

Table of Contents (12) Chapters Close

Preface 1. Data Characteristics FREE CHAPTER 2. Import/Export Data 3. Data Visualization 4. Exploratory Analysis 5. Statistical Inference 6. Linear Regression Analysis 7. Logistic Regression Model 8. Regression Models with Regularization 9. Classification and Regression Trees 10. CART and Beyond Index

Hypothesis testing


Best consumed before six months from date of manufacture, Two years warranty, Expiry date: June 20, 2015, and so on, are some of the likely assurances, which readers would have easily come across. An analyst will have to arrive at such statements using the related data. Let us first define a hypothesis:

  • Hypothesis: A hypothesis is an assertion about the unknown parameter of the probability distribution. For the quote of this section, denoting the least time (in months) until which an eatery will not be losing its good taste by , the hypothesis of interest will be . It is common to denote the hypothesis of interest by and it is called the null hypothesis. We want to test the null hypothesis against the alternative hypothesis that the consumption time is well before six months' time, which in symbols is denoted by . We will begin with some important definitions followed by related examples.
  • Test statistic: A statistic that is a function of the random sample is called a...

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