STAT, Reprint (with Review Cards and Bind-In Printed Access Card)

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  • Edition: 1st
  • Format: Paperback
  • Copyright: 4/17/2009
  • Publisher: Duxbury Press
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Created through a "reader-tested, expert-approved" review process, STAT is an extremely concise, visually appealing new book that introduces essential statistical concepts without any delays or distractions. This brief, affordable paperback includes a full suite of learning aids to accommodate your busy lifestyle, including chapter-by-chapter study cards, self-quizzes to help you review the most important concepts, downloadable flash cards, and interactive video, features that let you learn wherever you are, whenever you have time. From its abbreviated, no-nonsense title to its useful content and engaging style, STAT is the perfect general introductory statistics book for modern learners.

Table of Contents

Descriptive Statistics
What is Statistics?
Measurability and Variability
Data Collection
Comparison of Probability and Statistics
Statistics and Technology
Descriptive Analysis and Presentation of Single-Variable Data
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
Bivariate Data
Linear Correlation
Linear Regression.?
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)
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
Normal Probability Distributions
The Standard Normal Distribution
Applications of Normal Distributions
Normal Approximation of the Binomial
Sample Variability
Sampling Distributions
The Sampling Distribution of Sample Means
Application of the Sampling Distribution of Sample Means
Inferential Statistics
Introduction to Statistical Inferences
The Nature of Estimation
Estimation of a Mean ? (s known)
The Nature of Hypothesis Testing
Hypothesis Test of Mean ? (s Known): A Probability Value Approach
Hypothesis Test of Mean ? (s Known): A Classical Approach
Inferences Involving One Population
Inferences About Mean ? (s Unknown)
Inferences About the Binomial Probability of Success
Inferences About Variance and Standard Deviation
Inferences Involving Two Populations
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
Chi-Square Statistic
Inferences Concerning Multinomial Experiments
Inferences Concerning Contingency Tables
Analysis of Variance
Introduction to the Analysis of Variance Technique
The Logic Behind ANOVA
Applications of Single-Factor ANOVA
Linear Correlation and Regression
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
Nonparametric Statistics
Comparing Statistical Tests
The Sign Test
The Mann-Whitney U Test
The Runs Test
Rank Correlation
Subspaces of Vector Spaces
Spanning Sets and Linear Independence
Basis and Dimension
Rank of a Matrix and Systems of Linear Equations
Coordinates and Change of Basis
Applications of Vector Spaces
Inner Product Spaces
Length and Dot Product in R"
Inner Product Spaces
Orthonormal Bases: Gram-Schmidt Process
Mathematical Models and Least Squares Analysis
Applications of Inner Product Spaces
Linear Transformations
Introduction to Linear Transformations
The Kernel and Range of a Matrices for Linear Transformations
Transition Matrices and Similarity
Applications of Linear Transformations
Eigenvalues and Eigenvectors
Eigenvalues and Eigenvectors
Symmetric Matrices and Orthogonal Diagonalization
Applications of Eigenvalues and Eigenvectors
Complex Vector Spaces (Online)
Complex Numbers
Conjugates and Division of Complex Numbers
Polar Form and DeMoivre's Theorem
Complex Vector Spaces and Inner Products
Unitary and Hermitian Matricies
Table of Contents provided by Publisher. All Rights Reserved.

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