Essential Statistics

ISBN-10: 1429234466

ISBN-13: 9781429234467

Edition: 2010

Authors: David S. Moore
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Description: W.H. Freeman is excited to be publishing a new text by David Moore:Essential Statistics. David Moore's considerable experience as a statistician and instructor, and his commitment to producing high-quality, innovative introductory statistics textbooks motivated him to createEssential Statistics.The text offers the same highly successful approach and pedagogy of David Moore's bestsellingThe Basic Practice of Statistics(BPS), Fifth Edition, but in a briefer, more concise format. Through careful rewriting, he has shortened and simplified explanations, to better highlight the key,essential, statistical ideas and methods students need to know. The text is based on three principles: balanced content, the importance of ideas, and experience with data. Using a "just the basics" approach, the text clarifies and simplifies important concepts and methods, while engaging students with contemporary, realistic examples. Throughout the book, exercises help students check and apply their skills. A four-step problem-solving process in examples and exercises encourage good habits that go beyond graphs and calculations to ask, "What do the data tell me?"Essential Statisticsis what its name suggests: a basic introduction to statistical ideas and methods that aims to equip students to carry out common statistical procedures and to follow statistical reasoning in their fields of study and in their future employment.

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Book details

List price: $129.99
Copyright year: 2010
Publisher: W. H. Freeman & Company
Publication date: 7/17/2009
Binding: Paperback
Pages: 495
Size: 8.50" wide x 10.00" long x 0.75" tall
Weight: 2.046
Language: English

David S. Moore is a professor of psychology at Pitzer College and at Claremont Graduate University. He received his doctorate in developmental psychology from Harvard University and did his postdoctoral work at the City University of New York.

Exploring Data
Picturing Distributions with Graphs
Individuals and variables
Categorical variables: pie charts and bar graphs
Quantitative variables: histograms
Interpreting histograms
Quantitative variables: stemplots
Time plots
Describing Distributions with Numbers
Measuring center: the mean
Measuring center: the median
Comparing the mean and the median
Measuring spread: the quartiles
The five-number summary and boxplots
Measuring spread: the standard deviation
Choosing measures of center and spread
Using technology
Organizing a statistical problem
The Normal Distributions
Density curves
Describing density curves
Normal distributions
The 68-95-99.7 rule
The standard Normal distribution
Finding Normal proportions
Using the standard Normal table
Finding a value given a proportion
Scatterplots and Correlation
Explanatory and response variables
Displaying relationships: scatterplots
Interpreting scatterplots
Measuring linear association: correlation
Facts about correlation
Regression
Regression lines
The least-squares regression line
Using technology
Facts about least-squares regression
Residuals
Influential observations
Cautions about correlation and regression
Association does not imply causation
Exploring Data: Part I Review
Part I Summary
Review Exercises
Supplementary Exercises
From Exploration to Inference
Producing Data: Sampling
Population versus sample
How to sample badly
Simple random samples
Inference about the population
Cautions about sample surveys
Producing Data: Experiments
Observation versus experiment
Subjects, factors, treatments
How to experiment badly
Randomized comparative experiments
The logic of randomized comparative experiments
Cautions about experimentation
Matched pairs designs
Introducing Probability
The idea of probability
Probability models
Probability rules
Discrete probability models
Continuous probability models
Random variables
IV Starred material is not required for later parts of the text
Sampling Distributions
Parameters and statistics
Statistical estimation and the law of large numbers
Sampling distributions
The mean and standard deviation of ���”x
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