For one- or two-semester courses in Probability, Probability &
Statistics, or Mathematical Statistics. 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 Editionemphasizes 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.
General
Imprint: |
Pearson Education Limited
|
Country of origin: |
United Kingdom |
Release date: |
November 2023 |
First published: |
2024 |
Authors: |
Robert Hogg
• Elliot Tanis
|
Edition: |
11th edition |
ISBN-13: |
978-1-292-45476-4 |
Categories: |
Books
|
LSN: |
1-292-45476-8 |
Barcode: |
9781292454764 |
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