Skip to content

Exploring Statistics : a Modern Introduction to Data Analysis and Inference (with InfoTrac�) A Modern Introduction to Data Analysis and Inference

Best in textbook rentals since 2012!

ISBN-10: 0534363512

ISBN-13: 9780534363512

Edition: 2nd 1998 (Revised)

Authors: Larry Kitchens

List price: $199.95
Blue ribbon 30 day, 100% satisfaction guarantee!
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!

This edition of Larry Kitchens' EXPLORING STATISTICS is a quintessentially modern introduction to statistics. To an unprecedented degree, the book emphasizes data analysis throughout, continually illustrating key role data analysis plays in modern statistics. Kitchens also stresses hands-on experience, working with real data (more than 400 real data sets are included), and discovery through graphical displays and computer simulations. Preparing students to be both "consumers" and "producers" of statistics, Kitchens' approach gives them the tools and information they need to succeed in both roles.
Customers also bought

Book details

List price: $199.95
Edition: 2nd
Copyright year: 1998
Publisher: Brooks/Cole
Publication date: 8/4/1998
Binding: Hardcover
Pages: 940
Size: 8.00" wide x 9.75" long x 1.50" tall
Weight: 3.146
Language: English

Collecting and Understanding Data Essential Elements of Statistics
Sources of Data
Critically Appraising Data
Surveys. Experiments, Observational Studies(Optional)
Summary and Review
Organizing and Summarizing Univariate Data Statistical Insight
Types of Data
Displaying Categorical Data
Displaying Numerical Data
Summary Measures of Location
Summary Measures of Variability
Describing the Shape of a Distribution
Summary and Review
Bivariate Data: Studying the Relations Between Variables Statistical Insight
Contingency Tables
Scatter plots
Correlation
Least Squares Regression
A Robust Alternative to Least Squares:The Resistant Line (Optional)
Summary and Review
Summary Unit I - Chapters 1-3: Significant Ideas and Review Exercises
Probability and Probability Distributions Basic Probability Concepts
Event Relations and Probability Laws
Random Variables
Binomial Distribution
Normal Distribution
Summary and Review
Sampling Distributions Statistical Insight
Sampling Distributions
The Sampling Distribution of Y
Sampling Distribution of the Sample Proportion P
The Central Limit Theorem
Sampling Distribution of Other Useful Statistics
Summary and Review
Describing Distributions Data Analysis
Parameters and Estimators
Estimating Certain Population Parameters
Summary and Review
Summary Unit LI - Chapters 4-6: Significant Ideas and Review Exercises
Probability in the Courtroom
Birthday Problem
Uses and Misuses of the Central Limit Theorem
Unit Review
Computer Exercises
Discussion Exercises
Confidence Interval Estimation Confidence Interval for a Population Proportion
Confidence Interval for the Mean of a Symmetric Distribution
Small Sample Confidence Interval for the Mean of a Normal Distribution - Student''s T Distribution
Confidence Interval for the Population Median (Optional)
A Robust Confidence Interval for the Center of a Distribution (Optional)
Summary and Review
Hypothesis Testing Introduction to Hypothesis Testing
Test of a Population Proportion
Large Sample Test of a Population Mean
Small Sample Test of a Population Mean
Test of a Population Median (Optional)
A Robust Large Sample Test of a Population Mean (Optional)
Summary and Review
Inference on the Difference of Two Parameters Introduction
Inference for the Difference Between Two Population Proportions
Large Sample Inference for The Difference Between Two Population Means Using Independent Samples
Small Sample Inferences for the Difference Between Two Population Centers Using Independent Samples
Inference for the Difference Between Two Population Means Using Matched Samples
A Inference Procedure for the Difference Between Two Population Means (Optional)
Choosing the Right Procedure
Summary and Review
Summary Unit III - Chapters 7-9
Analysis of Categorical Data Introduction
The Chi-Square Goodness of Fit
The Chi-Square Test of Independence
The Chi-Square Test of Homogeneity
Summary and Review
Regression Analysis The Linear Regression Model
Inference About the Regression Coefficient
Estimation and Prediction
Multiple Linear Regression
Checking Model Adequacy
Summary and Review
Analysis of Variance Introduction
Comparison of Several Means--The Completely Randomized Design
Tukey''s Multiple Comparison Procedure
The Kruskal-Wallis Test
Summary and Review
Summary Unit IV--Chapters 10-12
Data Sets
Tables