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Approximately£142.87
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Last updated on 26 Jul, 2025 14:17:50 BSTView all revisionsView all revisions

Item specifics

Condition
Good: A book that has been read, but is in good condition. Minimal damage to the book cover eg. ...
Book Title
Introduction to Mathematical Statistics and Its Applications, An
ISBN
0134114213
EAN
9780134114217
Release Title
Introduction to Mathematical Statistics and Its Applications, An
Artist
Marx, Morris
Brand
N/A
Colour
N/A

About this product

Product Identifiers

Publisher
Pearson Education
ISBN-10
0134114213
ISBN-13
9780134114217
eBay Product ID (ePID)
227804518

Product Key Features

Number of Pages
752 Pages
Publication Name
Introduction to Mathematical Statistics and Its Applications
Language
English
Subject
Probability & Statistics / General
Publication Year
2017
Type
Textbook
Subject Area
Mathematics
Author
Richard Larsen, Morris Marx
Format
Hardcover

Dimensions

Item Height
1.2 in
Item Weight
53.3 Oz
Item Length
10.2 in
Item Width
8.4 in

Additional Product Features

Edition Number
6
Intended Audience
College Audience
LCCN
2016-035117
Dewey Edition
22
TitleLeading
An
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
Introduction Probability Random Variables Special Distributions Estimation Hypothesis Testing Inferences Based on the Normal Distribution Types of Data: A Brief Overview Two-Sample Inferences Goodness-of-Fit Tests Regression The Analysis of Variance Randomized Block Designs Nonparametric Statistics
Synopsis
For courses in Mathematical Statistics Introducing the principles of statistics and data modeling Introduction to Mathematical Statistics and Its Applications , 6th Edition is a high-level calculus student's first exposure to mathematical statistics. This book provides students who have already taken three or more semesters of calculus with the background to apply statistical principles. Meaty enough to guide a two-semester course, the book touches on both statistics and experimental design, which teaches students various ways to analyze data. It gives computational-minded students a necessary and realistic exposure to identifying data models.
LC Classification Number
QA276.L314 2018

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