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Essential Statistics by Gould, Robert N.; Ryan, Colleen N. Book + CD room disc
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Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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eBay item number:333724340303
Item specifics
- Condition
- Subject
- Statistics
- ISBN
- 9780321836984
About this product
Product Identifiers
Publisher
Pearson Education
ISBN-10
0321836987
ISBN-13
9780321836984
eBay Product ID (ePID)
120684280
Product Key Features
Number of Pages
552 Pages
Publication Name
Essential Statistics
Language
English
Publication Year
2012
Subject
Probability & Statistics / General
Type
Textbook
Subject Area
Mathematics
Format
CD-ROM / Trade Paperback
Dimensions
Item Height
1 in
Item Weight
40.6 Oz
Item Length
10.7 in
Item Width
8.5 in
Additional Product Features
Intended Audience
College Audience
LCCN
2012-010221
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
1. Introduction to Data 1.1 What Are Data? 1.2 Classifying and Storing Data 1.3 Organizing Categorical Data 1.4 Collecting Data to Understand Causality 2. Picturing Variation with Graphs 2.1 Visualizing Variation in Numerical Data 2.2 Summarizing Important Features of a Numerical Distribution 2.3 Visualizing Variation in Categorical Variables 2.4 Summarizing Categorical Distributions 2.5 Interpreting Graphs 3. Numerical Summaries of Center and Variation 3.1 Summaries for Symmetric Distributions 3.2 What's Unusual? The Empirical Rule and z-Scores 3.3 Summaries for Skewed Distributions 3.4 Comparing Measures of Center 3.5 Using Boxplots for Displaying Summaries 4. Regression Analysis: Exploring Associations between Variables 4.1 Visualizing Variability with a Scatterplot 4.2 Measuring Strength of Association with Correlation 4.3 Modeling Linear Trends 4.4 Evaluating the Linear Model 5. Modeling Variation with Probability 5.1 What is Randomness? 5.2 Finding Theoretical Probabilities 5.3 Associations in Categorical Variables 5.4 The Law of Large Numbers 6. Modeling Random Events: The Normal and Binomial Models 6.1 Probability Distributions Are Models of Random Experiments 6.2 The Normal Model 6.3 The Binomial Model 7. Survey Sampling and Inference 7.1 Learning about the World through Surveys 7.2 Measuring the Quality of a Survey 7.3 The Central Limit Theorem for Sample Proportions 7.4 Estimating the Population Proportion with Confidence Intervals 8. Hypothesis Testing for Population Proportions 8.1 The Main Ingredients of Hypothesis Testing 8.2 Characterizing p-values 8.3 Hypothesis Testing in Four Steps 8.4 Comparing Proportions from Two Populations 8.5 Understanding Hypothesis Testing 9. Inferring Population Means 9.1 Sample Means of Random Samples 9.2 The Central Limit Theorem for Sample Means 9.3 Answering Questions about the Mean of a Population 9.4 Comparing Two Population Means 9.5 Overview of Analyzing Means 10. Associations between Categorical Variables 10.1 The Basic Ingredients for Testing with Categorical Variables 10.2 Chi-Square Tests for Associations between Categorical Variables 10.3 Reading Research Papers
Synopsis
We live in a data-driven world, and this is a book about understanding and working with that data. In order to be informed citizens, authors Rob Gould and Colleen Ryan believe that learning statistics extends beyond the classroom to an essential life skill. They teach students of all math backgrounds how to think about data, how to reason using data, and how to make decisions based on data. NOTE: This is the standalone book, We live in a data-driven world, and this is a book about understanding and working with that data. In order to be informed citizens, authors Rob Gould and Colleen Ryan believe that learning statistics extends beyond the classroom to an essential life skill. They teach students of all math backgrounds how to think about data, how to reason using data, and how to make decisions based on data. NOTE: This is the standalone book
LC Classification Number
QA276.12.G6867 2014
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