About this product

Product Identifiers

PublisherFreeman & Company, W&H

ISBN-101464122164

ISBN-139781464122163

eBay Product ID (ePID)228972224

Product Key Features

Educational LevelHigh School, Elementary School

Number of Pages800 Pages

LanguageEnglish

Publication NameStatistics and Probability with Applications (High School)

SubjectProbability & Statistics / General

Publication Year2016

TypeStudy Guide

Subject AreaMathematics

AuthorDaren Starnes, Josh Tabor

FormatHardcover

Dimensions

Item Height1.3 in

Item Weight61.2 Oz

Item Length10.8 in

Item Width8.5 in

Additional Product Features

Edition Number3

Intended AudienceElementary/High School

LCCN2016-946696

IllustratedYes

Table Of ContentAbout the Authors Acknowledgments To the Student Chapter 1 Analyzing One-Variable Data Lesson 1.1 Statistics: The Science and Art of Data Lesson 1.2 Displaying Categorical Data Lesson 1.3 Displaying Quantitative Data: Dotplots Lesson 1.4 Displaying Quantitative Data: Stemplots Lesson 1.5 Displaying Quantitative Data: Histograms Lesson 1.6 Measuring Center Lesson 1.7 Measuring Variability Lesson 1.8 Summarizing Quantitative Data: Boxplots and Outliers Chapter 2 Modeling One-Variable Quantitative Data Lesson 2.1 Describing Location in a Distribution Lesson 2.2 Transforming Data Lesson 2.3 Density Curves and the Normal Distribution Lesson 2.4 The Empirical Rule and Assessing Normality Lesson 2.5 Normal Distributions: Finding Areas from Values Lesson 2.6 Normal Distributions: Finding Values from Areas Chapter 3 Analyzing Two-Variable Data Lesson 3.1 Relationships Between Two Categorical Variables Lesson 3.2 Relationships Between Two Quantitative Variables Lesson 3.3 Correlation Lesson 3.4 More about Correlation Lesson 3.5 Regression Lines Lesson 3.6 The Least-Squares Regression Line Lesson 3.7 Assessing a Regression Model Chapter 4 Collecting Data Lesson 4.1 Introduction to Data Collection Lesson 4.2 Sampling: Good and Bad Lesson 4.3 Sampling and Surveys Lesson 4.4 Inference for Sampling Lesson 4.5 Observational Studies and Experiments Lesson 4.6 How to Experiment Well Lesson 4.7 Inference for Experiments Lesson 4.8 Using Studies Wisely Chapter 5 Probability Lesson 5.1 Randomness, Probability, and Simulation Lesson 5.2 Basic Probability Rules Lesson 5.3 Two-Way Tables and Venn Diagrams Lesson 5.4 Conditional Probability and Independence Lesson 5.5 The General Multiplication Rule and Tree Diagrams Lesson 5.6 The Multiplication Rule for Independent Events Lesson 5.7 The Multiplication Counting Principle and Permutations Lesson 5.8 Combinations and Probability Chapter 6 Random Variables Lesson 6.1 Two Types of Random Variables Lesson 6.2 Analyzing Discrete Random Variables Lesson 6.3 Binomial Random Variables Lesson 6.4 Analyzing Binomial Random Variables Lesson 6.5 Normal Approximation to Binomial Distributions Chapter 7 Sampling Distributions Lesson 7.1 What Is a Sampling Distribution? Lesson 7.2 Sampling Distributions: Center and Variability Lesson 7.3 The Sampling Distribution of a Sample Proportion Lesson 7.4 The Sampling Distribution of a Sample Mean Lesson 7.5 The Central Limit Theorem Chapter 8 Estimating a Parameter Lesson 8.1 The Idea of a Confidence Interval Lesson 8.2 What Affects the Margin of Error? Lesson 8.3 Estimating a Proportion Lesson 8.4 Confidence Intervals for a Proportion Lesson 8.5 Estimating a Mean Lesson 8.6 Confidence Intervals for a Mean Chapter 9 Testing a Claim Lesson 9.1 The Idea of a Significance Test Lesson 9.2 Significance Tests and Decision Making Lesson 9.3 Testing a Claim about a Proportion Lesson 9.4 Significance Tests for a Proportion Lesson 9.5 Testing a Claim about a Mean Lesson 9.6 Significance Tests for a Mean Chapter 10 Comparing Two Populations or Treatments Lesson 10.1 Estimating a Difference Between Two Proportions Lesson 10.2 Testing a Claim about a Difference Between Two Proportions Lesson 10.3 Estimating a Difference Between Two Means Lesson 10.4 Testing a Claim about a Difference Between Two Means Lesson 10.5 Paired Data: Estimating a Mean Difference Lesson 10.6 Paired Data: Testing a Claim about a Mean Difference Chapter 11 Inference for Distributions and Relationships Lesson 11.1 Testing the Distribution of a Categorical Variable Lesson 11.2 Chi-Square Tests for Goodness of Fit Lesson 11.3 Testing the Relationship Between Two Categorical Variables Lesson 11.4 Chi-Square Tests for Association Lesson 11.5 Estimating the Slope of a Least-Squares Regression Line Lesson 11.6 Testing a Claim about the Slope of a Least-Squares Regression Line

SynopsisWritten specifically for high school students, Statistics and Probability with Applications helps you stay on track in the course with lively real-life examples which prepare you to use statistics in college courses and in any career.

LC Classification NumberQA276.12.Y38 2017