Elementary Statistics

ISBN-10: 0495383864

ISBN-13: 9780495383864

Edition: 10th 2008

List price: $308.95
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Succeed in statistics with ELEMENTARY STATISTICS! Including relevant examples, exercises, and applications, this textbook gives you the tools you need to get a good grade in your statistics course. Struggling with a specific concept? Log onto Personal Tutor with SMARTHINKING to get live, one-on-one online tutoring from a statistician who has a copy of the textbook. Video Skillbuilders and StatisticsNow (an online learning tool built around your individual progress that gives you a simple pre-test, and then focuses your learning experience on your studying needs) provide additional online support. Learning to use MINITAB, Excel, and the TI-83/84 graphing calculator is made easy with instructions included in relevant sections throughout the text.
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Book details

List price: $308.95
Edition: 10th
Copyright year: 2008
Publisher: Brooks/Cole
Publication date: 2/23/2007
Binding: Hardcover
Pages: 832
Size: 8.25" wide x 10.50" long x 1.25" tall
Weight: 4.180
Language: English

Jerry Aldridge is professor of curriculum and instruction and coordinator of the doctoral program in early childhood education at the University of Alabama at Birmingham. He is a former president of the United States chapter of the World Organization for Early Childhood Education and currently serves on the publications committee of the Association for Childhood Education International. Aldridge has published numerous articles in early childhood, literacy, and special education.Patricia Kuby, Ph.D., is professor and chair of early childhood education at Athens State University in Alabama .nbsp;She learned to appreciate the importance of environmental print as her children read signs and logos while traveling on family car trips. Her three children are now all educators themselves.nbsp;Patricia is past president of the Alabama Association for the Education of Young Children. She has published numerous articles on literacy development and early childhood. nbsp;

Descriptive Statistics
Americans, Here's Looking At You
What is Statistics? Measurability and Variability
Data Collection
Comparison of Probability and Statistics
Statistics and Technology
Descriptive Analysis and Presentation of Single-Variable Data
You and the Internet
Graphical Presentation of Data
Graphs, Pareto Diagrams, and Stem-And-Leaf Displays
Frequency Distributions and Histograms
Numerical Descriptive Statistics
Measures of Central Tendency
Measures of Dispersion
Measures of Position
Interpreting and Understanding Standard Deviation
The Art of Statistical Deception
Mean and Standard Deviation of Frequency Distribution (Optional)
Descriptive Analysis and Presentation of Bivariate Data
The Kid is All Grown Up
Bivariate Data
Linear Correlation
Linear Regression
Sweet Statistics
Probability of Events
Conditional Probability of Events
Rules of Probability
Mutually Exclusive Events
Independent Events
Mutually Exclusive, Independent Events?
A Relationship?
Probability Distributions (Discrete Variables)
Caffeine Drinking
Random Variables
Probability Distribution of a Discrete Random Variable
Mean and Variance of a Discrete Probability Distribution
The Binomial Probability Distribution
Mean and Standard Deviation of the Binomial Distribution
Normal Probability Distributions
Intelligence Scores
Normal Probability Distributions
The Standard Normal Distribution
Applications of Normal Distributions Notation
Normal Approximation of the Binomial
Sample Variability
275 Million Americans
Sampling Distributions
The Sampling Distribution of Sample Means
Application of the Sampling Distribution of Sample Means
Inferential Statistics
Introduction to Statistical Inferences
Were They Shorter Back Then? The Nature of Estimation
Estimation of a Mean (= known)
The Nature of Hypothesis Testing
Hypothesis Test of Mean 8 (= Known): A Probability Value Approach
Hypothesis Test of Mean 8 (= Known): A Classical Approach
Inferences Involving One Population
Get Enough Daily Exercise? Inferences About Mean 8 (= Unknown)
Inferences About the Binomial Probability of Success
Inferences About Variance and Standard Deviation
Inferences Involving Two Populations
Students, Credit Cards and Debt
Independent and Dependent Samples
Inferences Concerning the Mean Difference Using Two Dependent Samples
Inferences Concerning the Difference Between Means Using Two Independent Samples
Inferences Concerning the Difference Between Proportions Using Two Independent Samples
Inferences Concerning the Ratio of Variances Using Two Independent Samples
More Inferential Statistics
Applications of Chi-Square
Cooling a Great Hot Taste
Chi-Square Statistic
Inferences Concerning Multinomial Experiments
Inferences Concerning Contingency Tables
Analysis of Variance
Time Spent Commuting to Work
Introduction to the Analysis of Variance Technique
The Logic Behind ANOVA
Applications of Single-Factor ANOVA
Linear Correlation and Regression
Beautiful Golden Wheat! Linear Correlation Analysis
Inferences About the Linear Correlation Coefficient
Linear Regression Analysis
Inferences Concerning the Slope of the Regression Line
Confidence Interval Estimates For Regression
Understanding the Relationship Between Correlation and Regression
Elements of Nonparametric Statistics
Teenagers' Attitudes
Nonparametric Statistics
Comparing Statistical Tests
The Sign Test
The Mann-Whitney U Test
The Runs Test
Rank Correlation
Basic Principles of Counting
Answers to Odd-Numbered Exercises
Answers to Chapter Practice Tests
Index for Applications
Index for Computer and Calculator Instructions
Index Credits
Formula Card
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