Probability and Statistical Inference

Probability and Statistical Inference 2019 Original pdf

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AUTHORS: Robert Hogg (Author), Elliot Tanis (Author), Dale Zimmerman (Author)
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Probability and Statistical Inference 2019 Original pdf

An authoritative introduction to an in-demand field

Advances in computing technology – particularly in science and business – have increased the need for more statistical scientists to examine the huge amount of data being collected. Written by veteran statisticians, Probability and Statistical Inference, 10th Edition emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation.

 

This applied introduction to probability and statistics reinforces basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts. It is designed for a two-semester course, but it can be adapted for a one-semester course. A good calculus background is needed, but no previous study of probability or statistics is required.

AUTHORS: Robert Hogg (Author), Elliot Tanis (Author), Dale Zimmerman (Author)

PAGES: 560

YEAR: 2019

PUBLICATION: Pearson

LANGUAGE: English

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