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Test Bank for Elementary Statistics Using Excel, 4th Edition: Mario F. Triola

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ISBN-10 ‏ : ‎ 0321564960
ISBN-13 ‏ : ‎ 978-0321564962
Author: Mario F. Triola

Normal 0 false false false KEY BENEFIT: Elementary Statistics Using Excel, Fourth Edition, offers a complete introduction to basic statistics, featuring extensive instruction on the use of Excel spreadsheets for data analysis. Extensive Excel instructions are provided along with typical displays of results, as well as information about Excel’s limitations and alternative approaches to problem-solving. Real data in many examples help readers see the prevalence of statistics in the real world. KEY TOPICS: Introduction to Statistics; Summarizing and Graphing Data; Statistics for Describing, Exploring, and Comparing Data; Probability; Probability Distributions; Normal Probability Distributions; Estimates and Sample Sizes; Hypothesis Testing; Inferenc

Table of Content:

Chapter 1 Introduction to Statistics
Chapter Objectives
1-1 Statistical and Critical Thinking
Prepare
Analyze
Conclude
Analyzing Data: Potential Pitfalls
1-1 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
1-1 Beyond the Basics
1-2 Types of Data
Part 1 Basic Types of Data
Parameter / Statistic
Quantitative / Categorical
Discrete / Continuous
Levels of Measurement
Solution
Part 2 Big Data and Missing Data: Too Much and Not Enough
Big Data
Missing Data
1-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
1-2 Beyond the Basics
1-3 Collecting Sample Data
Design of Experiments
Sampling Errors
1-3 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
1-3 Beyond the Basics
1-4 Introduction to Excel
Excel 2016 and Excel 2016 for Mac
Excel 2013
Excel 2010
Excel for Mac 2011
Creating an Excel Worksheet
Getting Help
Undoing Your Work
Saving an Excel File
Opening Appendix B Data Sets in Excel
Calculations with Excel
Sorting Rows with Excel
Printing an Excel Worksheet
Closing Excel
Using Excel for Statistical Functions
Excel Add-Ins Installation
1-4 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
1-4 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Excel Project
Cooperative Group Activities
2 Exploring Data with Tables and Graphs
Chapter Objectives
2-1 Frequency Distributions for Organizing and Summarizing Data
Procedure for Constructing a Frequency Distribution
Solution
Relative Frequency Distribution
Cumulative Frequency Distribution
Critical Thinking: Using Frequency Distributions to Understand Data
Normal Distribution
Analysis of Last Digits
Gaps
Comparisons
2-1 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
2-1 Beyond the Basics
2-2 Histograms
Relative Frequency Histogram
Critical Thinking: Interpreting Histograms
Common Distribution Shapes
Normal Distribution
Uniform Distribution
Skewness
Using Excel for Histograms
Using XLSTAT to Generate Histograms
Using Excel to Generate Histograms
2-3 Graphs That Enlighten and Graphs That Deceive
Graphs That Enlighten
Dotplots
Stemplots
Using XLSTAT for Stemplots
Time-Series Graph
Using Excel to Create Time-Series Graphs
Bar Graphs
Using Excel to Create Bar Graphs
Pareto Charts
Using Excel to Create Pareto Charts
Pie Charts
Using Excel to Create Pie Charts
Frequency Polygon
Using Excel to Create Frequency Polygons
Graphs That Deceive
Nonzero Vertical Axis
Pictographs
Concluding Thoughts
2-3 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
2-3 Beyond the Basics
2-4 Scatterplots, Correlation, and Regression
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Cooperative Group Activities
3 Describing, Exploring, and Comparing Data
3-1 Measures of Center
Using Excel to Generate Descriptive Statistics
3-2 Measures of Variation
Using Excel to Calculate Variance
Why Is Standard Deviation Defined as in Formula 3-4?
Why Not Use the Mean Absolute Deviation Instead of the Standard Deviation?
Why Divide by n − 1?
How Do We Make Sense of a Value of Standard Deviation?
Empirical (or 68-95-99.7) Rule for Data with a Bell-Shaped Distribution
Solution
Chebyshev’s Theorem
Solution
Comparing Variation in Different Samples or Populations
Solution
Biased and Unbiased Estimators
3-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
3-2 Beyond the Basics
3-3 Measures of Relative Standing and Boxplots
Using Excel to Find z Scores
Solution
Interpretation
Percentiles
Solution
Interpretation
Using Excel to Find Percentile Values
Solution
Solution
Quartiles
Using Excel to Find Quartiles
Using XLSTAT for Quartiles
Using Excel’s Quartile.Inc Function for Quartiles
5-Number Summary and Boxplot
Solution
Using Excel for a 5-Number Summary
Using XLSTAT for a 5-Number Summary
Using Excel’s QUARTILE.INC Function For a 5-Number Summary
Solution
Solution
Outliers
Identifying Outliers for Modified Boxplots
Modified Boxplots
Solution
Using Excel to Generate Modified Boxplots
Using XLSTAT for Modified Boxplots
3-3 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
3-3 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Excel Project
Cooperative Group Activities
4 Probability
4-1 Basic Concepts of Probability
Excel Demonstration of the Law of Large Numbers
Solution
Solution
Solution
Solution
Interpretation
Solution
Complementary Events
Solution
Interpretation
Identifying Significant Results with Probabilities: The Rare Event Rule for Inferential Statistics
Probability Review
4-2 Addition Rule and Multiplication Rule
Addition Rule
Notation for Addition Rule
solution
Disjoint Events and the Addition Rule
Complementary Events and the Addition Rule
Solution
Multiplication Rule
Notation for Multiplication Rule
Independence and the Multiplication Rule
Solution
solution
Solution
Redundancy: Important Application of Multiplication Rule
Solution
Interpretation
Rationale for the Multiplication Rule
Summary of Addition Rule and Multiplication Rule
4-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
4-2 Beyond the Basics
4-3 Complements, Conditional Probability, and Bayes’ Theorem
Confusion of the Inverse
4-4 Counting
Using Excel to Calculate Factorials, Permutations, and Combinations
Factorials
Permutations Rule (When All of the Items Are Different)
Combinations Rule
4-4 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
4-4 Beyond the Basics
4-5 Probabilities Through Simulations (available at www.TriolaStats.com)
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Excel Project
Cooperative Group Activities
5 Discrete Probability Distributions
5-1 Probability Distributions
Parameters of a Probability Distribution
Expected Value
Solution
Interpretation
Using Excel to Calculate μ, σ, and σ2 for a Probability Distribution
Making Sense of Results: Significant Values
Identifying Significant Results with the Range Rule of Thumb
Solution
Interpretation
Identifying Significant Results with Probabilities:
The Rare Event Rule for Inferential Statistics
Solution
Interpretation
Expected Value
Solution
Interpretation
Rationale for Formulas 5-1 Through 5-4
5-1 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
5-1 Beyond the Basics
5-2 Binomial Probability Distributions
Methods for Finding Binomial Probabilities
Rationale for the Binomial Probability Formula
5-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
5-2 Beyond the Basics
5-3 Poisson Probability Distributions
Solution
Poisson Distribution as Approximation to Binomial
Solution
Using Excel for Finding Poisson Probabilities
5-3 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
5-3 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Excel Project
Cooperative Group Activities
6 Normal Probability Distributions
6-1 The Standard Normal Distribution
Normal Distributions
Uniform Distributions
Solution
Interpretation
Standard Normal Distribution
Finding Probabilities When Given z Scores
Solution
Using Excel to Find Normal Distribution Areas
Interpretation
Solution
Interpretation
Solution
Interpretation
Finding z Scores from Known Areas
6-2 Real Applications of Normal Distributions
Solution
Interpretation
Solution
Interpretation
Finding Values from Known Areas
Solution
Interpretation
Significance
Solution
Interpretation
6-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
6-2 Beyond the Basics
6-3 Sampling Distributions and Estimators
Sampling Distribution of Sample Proportion
Solution
Sampling Distribution of the Sample Mean
Solution
Interpretation
Solution
Sampling Distribution of the Sample Variance
Solution
Estimators: Unbiased and Biased
6-4 The Central Limit Theorem
Interpretation
Applying the Central Limit Theorem
Solution
Interpretation
Introduction to Hypothesis Testing
Identifying Significant Results with Probabilities: The Rare Event Rule for Inferential Statistics
Solution
Interpretation
Correction for a Finite Population
6-4 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
6-4 Beyond the Basics
6-5 Assessing Normality
6-6 Normal as Approximation to Binomial
Review Exercises
Review Exercises
Cumulative Review Exercises
Excel Projects
Cooperative Group Activities
7 Estimating Parameters and Determining Sample Sizes
7-1 Estimating a Population Proportion
Point Estimate
Solution
Confidence Interval
Interpreting a Confidence Interval
Critical Values
Solution
Using Excel to Find Critical Values
Margin of Error
Using Excel for a Confidence Interval Estimate of p
Solution
Finding the Point Estimate and E from a Confidence Interval
Solution
Using Confidence Intervals for Hypothesis Tests
Determining Sample Size
Solution
Interpretation
Disadvantage of Wald Confidence Interval
Better-Performing Confidence Intervals
Plus Four Method
Wilson Score
Clopper-Pearson Method
7-1 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
7-1 Beyond the Basics
7-2 Estimating a Population Mean
Using Excel to Construct a Confidence Interval Estimate of μ
Excel—Working with Summary Statistics
Solution
Interpretation
Interpreting the Confidence Interval
Finding a Point Estimate and Margin of Error E from a Confidence Interval
Using Confidence Intervals to Describe, Explore, or Compare Data
Determining Sample Size
Solution
Interpretation
Choosing the Appropriate Distribution
7-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
7-2 Beyond the Basics
7-3 Estimating a Population Standard Deviation or Variance
Using Excel to Find Critical Values of χ2
Procedure for Constructing a Confidence Interval for σ or σ2
Using Confidence Intervals for Comparisons or Hypothesis Tests
Solution
Interpretation
Rationale for the Confidence Interval
Determining Sample Size
Solution
7-3 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
7-3 Beyond the Basics
7-4 Bootstrapping: Using Excel for Estimates
Using XLSTAT for Bootstrap Resampling
7-4 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
7-4 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Excel Project
Cooperative Group Activities
8 Hypothesis Testing
8-1 Basics of Hypothesis Testing
Steps 1, 2, 3: Use the Original Claim to Create a Null Hypothesis H0 and an Alternative Hypothesis H1
Step 4: Select the Significance Level α
Step 5: Identify the Statistic Relevant to the Test and Determine Its Sampling Distribution (such as normal, t, or χ2)
Step 6: Find the Value of the Test Statistic, Then Find Either the P-Value or the Critical Value(s)
Two-Tailed, Left-Tailed, Right-Tailed
P-Value Method
P-Value and Hypothesis Testing Controversy
Critical Value Method
Step 7: Make a Decision to Either Reject H0 or Fail to Reject H0
Step 8: Restate the Decision Using Simple and Nontechnical Terms
Confidence Intervals for Hypothesis Tests
Equivalent Methods
Power and the Design of Experiments
8-1 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
8-1 Beyond the Basics
8-2 Testing a Claim About a Proportion
Claim: Most Consumers Uncomfortable with Drone Deliveries
Solution: P-Value Method
Solution: Critical Value Method
Solution: Confidence Interval Method
Finding the Number of Successes x
Solution
Solution
Interpretation
8-3 Testing a Claim About a Mean
Part 1 Testing a Claim About μ with σ Not Known
Equivalent Methods
Requirement of Normality or n > 30
Important Properties of the Student t Distribution
P-Value Method with Excel
Using Excel to Test a Claim About μ
Excel: Working with Summary Statistics
Solution
Interpretation
P-Value Method Without Technology
Critical Value Method
Confidence Interval Method
Solution
Interpretation
Alternative Methods Used When Population Is Not Normal and n  30
Solution
Interpretation
8-4 Testing a Claim About a Standard Deviation or Variance
Using Excel for Testing Claims About σ or σ2
Excel: Working with Summary Statistics
Solution
Interpretation
Critical Value Method
Confidence Interval Method
Solution
Alternative Method Used When Population Is Not Normal
8-4 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
8-4 Beyond the Basics
Chapter Quick Quiz
Cumulative Review Exercises
Cumulative Review Exercises
Excel Project
Cooperative Group Activities
9 Inferences from Two Samples
9-1 Two Proportions
Using Excel for Inferences About Two Proportions
Hypothesis Tests
Confidence Intervals
Hypothesis Tests
P-Value Method
Solution
Interpretation
Critical Value Method
Confidence Intervals
Solution
Interpretation
What Can We Do When the Requirements Are Not Satisfied?
Rationale: Why Do the Procedures of This Section Work?
9-1 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
9-1 Beyond the Basics
9-2 Two Means: Independent Samples
Using Excel for Inferences About Means of Two Independent Samples
Using XLSTAT for Hypothesis Tests
Using XLSTAT for Confidence Intervals
Using Excel (Instead of XLSTAT) for Hypothesis Tests (not available in Excel for Mac 2011)
P-Value Method
Solution
Interpretation
Critical Value Method
Confidence Intervals
Solution
Interpretation
Alternative Method: Assume That σ1 = σ2 and Pool the Sample Variances
Alternative Method Used When σ1 and σ2 Are Known
Recommended Strategy for Two Independent Means
9-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
9-2 Beyond the Basics
9-3 Two Dependent Samples (Matched Pairs)
Good Experimental Design
Procedures for Inferences with Dependent Samples
Equivalent Methods
Using Excel for Inferences About Means of Differences from Two Dependent Samples
Using XLSTAT for Hypothesis Tests
Using XLSTAT for Confidence Intervals
Using Excel (Instead of XLSTAT) for Hypothesis Tests (not available in Excel for Mac 2011)
Solution
Interpretation
Solution
Interpretation
Alternative Method Used When Population Is Not Normal and n ≥ 30
9-3 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
9-3 Beyond the Basics
9-4 Two Variances or Standard Deviations
Using Excel for Hypothesis Tests with Two Variances or Two Standard Deviations
Using XLSTAT for Hypothesis Tests
Using Excel for Hypothesis Tests (not available in Excel for Mac 2011)
F Distribution
Interpreting the Value of the F Test Statistic
solution
Interpretation
Count Five
Levene-Brown-Forsythe Test
9-4 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
9-4 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Excel Project
Cooperative Group Activities
10 Correlation and Regression
10-1 Correlation
Explore!
Interpreting Scatterplots
Measure the Strength of the Linear Correlation with r
Properties of the Linear Correlation Coefficient r
Calculating the Linear Correlation Coefficient r
Using XLSTAT for the Linear Correlation Coefficient r
Using Excel for the Linear Correlation Coefficient r
Using Excel for a Scatterplot
Solution
Solution
Solution
Is There a Linear Correlation?
Solution
Interpretation
Interpreting r: Explained Variation
Solution
Interpretation
Interpreting r with Causation: Don’t Go There!
Common Errors Involving Correlation
10-2 Regression
Using Excel for Regression
Using XLSTAT for the Equation of the Regression Line
Using Excel for the Equation of the Regression Line (not available in Excel for Mac 2011)
Solution
Solution
Solution
Making Predictions
Solution
Interpretation
Interpreting the Regression Equation: Marginal Change
Outliers and Influential Points
Residuals and the Least-Squares Property
Residual Plots
10-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
10-2 Beyond the Basics
10-3 Prediction Intervals and Variation
Using Excel to Construct a Prediction Interval
Using XLSTAT for a Prediction Interval
Using Excel for a Prediction Interval (not available in Excel for Mac 2011)
Solution
Interpretation
Explained and Unexplained Variation
Coefficient of Determination
Solution
Interpretation
10-3 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
10-3 Beyond the Basics
10-4 Multiple Regression
Using Excel for Multiple Regression
Using XLSTAT for Multiple Regression
Using Excel for Multiple Regression (not available in Excel for Mac 2011)
Solution
R2 and Adjusted R2
P-Value
Finding the Best Multiple Regression Equation
Guidelines for Finding the Best Multiple Regression Equation
Solution
Interpretation
Tests of Regression Coefficients
Predictions With Multiple Regression
Dummy Variable as a Predictor Variable
solution
Logistic Regression
10-4 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
10-4 Beyond the Basics
10-5 Nonlinear Regression
Using Excel for Nonlinear Regression
Solution
solution
10-5 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
10-5 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Excel Project
Analyzing the Results
Cooperative Group Activities
11 Goodness-of-Fit and Contingency Tables
11-1 Goodness-of-Fit
11-2 Contingency Tables
Test of Homogeneity
Fisher’s Exact Test
McNemar’s Test for Matched Pairs
11-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
11-2 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Excel Project
Cooperative Group Activities
12 Analysis of Variance
12-1 One-Way ANOVA
F Distribution
Using Excel for One-Way Analysis of Variance
Using XLSTAT for One-Way ANOVA
Using Excel for One-Way ANOVA (not available in Excel for Mac 2011)
Solution
Interpretation
How is the P-Value Related to the Test Statistic?
Test Statistic for One-Way ANOVA: F = variance between samples / variance within samples
Why Not Just Test Two Samples at a Time?
Part 2 Calculations and Identifying Means That Are Different
Calculating the Test Statistic F with Equal Sample Sizes n
Finding the Critical Value
Understanding the Effect of a Mean on the F Test Statistic
Calculations with Unequal Sample Sizes
Designing Experiments
Identifying Which Means Are Different
Bonferroni Multiple Comparison Test
Solution
Interpretation
12-1 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
12-1 Beyond the Basics
12-2 Two-Way ANOVA
Explore Data with Means and an Interaction Graph
Using Excel for Two-Way Analysis of Variance
Using XLSTAT for Two-Way ANOVA
Using Excel for Two-Way ANOVA (not available in Excel for Mac 2011)
solution
Interpretation
12-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
12-2 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Excel Project
Cooperative Group Activities
13 Nonparametric Tests
13-1 Basics of Nonparametric Tests
13-2 Sign Test
Using Excel to Find Sign Test P-values
Using XLSTAT to Find Sign Test P-values
Using Excel (Instead of XLSTAT) to Find Sign Test P-values
Interpretation
Claims About Matched Pairs
solution
Interpretation
Claims Involving Nominal Data with Two Categories
Solution
Interpretation
Claims About the Median of a Single Population
Solution
Interpretation
13-3 Wilcoxon Signed-Ranks Test for Matched Pairs
Claims Involving Matched Pairs
Using Excel to Find Wilcoxon Signed-Ranks Test P-Values
Solution
Interpretation
Claims About the Median of a Single Population
Solution
13-4 Wilcoxon Rank-Sum Test for Two Independent Samples
Using Excel to Find Wilcoxon Rank-Sum Test P-Values
Solution
Interpretation
13-4 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
13-4 Beyond the Basics
13-5 Kruskal-Wallis Test for Three or More Samples
Using Excel to Find Kruskal-Wallis P-Values
Solution
Interpretation
13-6 Rank Correlation
Using Excel to Find the Rank Correlation Coefficient
Using XLSTAT to Find the Rank Correlation Coefficient
Using Excel (Instead of XLSTAT) to Find the Rank Correlation Coefficient
Solution
Solution
Detecting Nonlinear Patterns
13-6 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
13-6 Beyond the Basics
13-7 Runs Test for Randomness
Fundamental Principle of the Runs Test
Solution
Solution
Interpretation
Testing for Randomness Above and Below the Mean or Median
13-7 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
13-7 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Excel Project
Cooperative Group Activities
14 Statistical Process Control
14-1 Control Charts for Variation and Mean
Process Data
Run Chart
Solution
Interpretation
Interpreting Run Charts
Causes of Variation
Control Charts
Control Chart for Monitoring Variation: The R Chart
Solution
Interpreting Control Charts
Out-of-Control-Criteria
Solution
Interpretation
Control Chart for Monitoring Means: The x Chart
Solution
Interpretation
Using Excel to Create Run Charts, R Charts, and x Charts
14-2 Control Charts for Attributes
Using XLSTAT to Create p Charts
solution
Interpretation
14-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
14-2 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Excel Project
Cooperative Group Activities
15 Ethics in Statistics
IV. Enforcing Ethics
Discussion Points
Appendix A Tables
Negative z Scores
Positive z Scores
Appendix B Data Sets
Data Set 1: Body Data
Data Set 2: Foot and Height
Data Set 3: Body Temperatures
Data Set 4: Births
Data Set 5: Family Heights
Data Set 6: Freshman 15
Data Set 7: IQ and Lead
Data Set 8: IQ and Brain Size
Data Set 9: Bear Measurements
Data Set 10: Manatee Deaths
Data Set 11: Alcohol and Tobacco in Movies
Data Set 12: Passive and Active Smoke
Data Set 13: Cigarette Contents
Data Set 14: Oscar Winner Age
Data Set 15: Presidents
Data Set 16: Nobel Laureates and Chocolate
Data Set 17: Course Evaluations
Data Set 18: Speed Dating
Data Set 19: Car Crash Tests
Data Set 20: Car Measurements
Data Set 21: Earthquakes
Data Set 22: Tornadoes
Data Set 23: Old Faithful
Data Set 24: Word Counts
Data Set 25: Fast Food
Data Set 26: Cola Weights and Volumes
Data Set 27: M&M Weights
Data Set 28: Chocolate Chip Cookies
Data Set 29: Coin Weights
Data Set 30: Aluminum Cans
Data Set 31: Garbage Weight
Data Set 32: Airport Data Speeds
Appendix C Websites and Bibliography of Books
Appendix D Answers to Odd-Numbered Section Exercises, plus Answers to All Chapter Quick Quizzes, Chapter Review Exercises, and Cumulative Review Exercises
Chapter 1 Answers
Section 1-1
Section 1-2
Section 1-3
Section 1-4
Chapter 1 : Quick Quiz
Chapter 1 : Review Exercises
Chapter 1 : Cumulative Review Exercises
Chapter 2 Answers
Section 2-1
Section 2-2
Section 2-3
Section 2-4
Chapter 2 : Quick Quiz
Chapter 2 : Review Exercises
Chapter 2 : Cumulative Review Exercises
Chapter 3 Answers
Section 3-1
Section 3-2
Section 3-3
Chapter 3 : Quick Quiz
Chapter 3 : Review Exercises
Chapter 3 : Cumulative Review Exercises
Chapter 4 Answers
Section 4-1
Section 4-2
Section 4-3
Section 4-4
Chapter 4 : Quick Quiz
Chapter 4 : Review Exercises
Chapter 4 : Cumulative Review Exercises
Chapter 5 Answers
Section 5-1
Section 5-2
Section 5-3
Chapter 5 : Quick Quiz
Chapter 5 : Review Exercises
Chapter 5 : Cumulative Review Exercises
Chapter 6 Answers
Section 6-1
Section 6-2
Section 6-3
Section 6-4
Section 6-5
Section 6-6
Chapter 6: Quick Quiz
Chapter 6 : Review Exercises
Chapter 6 : Cumulative Review Exercises
Chapter 7 Answers
Section 7-1
Section 7-2
Section 7-3
Section 7-4
Chapter 7 : Quick Quiz
Chapter 7 : Review Exercises
Chapter 7 : Cumulative Review Exercises
Chapter 8 Answers
Section 8-1
Section 8-2
Section 8-3
Section 8-4
Chapter 8 : Quick Quiz
Chapter 8 : Review Exercises
Chapter 8 : Cumulative Review Exercises
Chapter 9 Answers
Section 9-1
Section 9-2
Section 9-3
Section 9-4
Chapter 9 : Quick Quiz
Chapter 9 : Review Exercises
Chapter 9 : Cumulative Review Exercises
Chapter 10 Answers
Section 10-1
Section 10-2
Section 10-3
Section 10-4
Section 10-5
Chapter 10 : Quick Quiz
Chapter 10 : Review Exercises
Chapter 10 : Cumulative Review Exercises
Chapter 11 Answers
Section 11-1
Section 11-2
Chapter 11 : Quick Quiz
Chapter 11 : Review Exercises
Chapter 11 : Cumulative Review Exercises
Chapter 12 Answers
Section 12-1
Section 12-2
Chapter 12 : Chapter Quick Quiz
Chapter 12 : Review Exercises
Chapter 12 : Cumulative Review Exercises
Chapter 13 Answers
Section 13-1
Section 13-3
Section 13-4
Section 13-5
Section 13-6
Section 13-7
Chapter 13 : Quick Quiz
Chapter 13 : Review Exercises
Chapter 13 : Cumulative Review Exercises
Chapter 14 Answers
Section 14-1
Section 14-2
Chapter 14 : Quick Quiz
Chapter 14: Review Exercises
Chapter 14 : Cumulative Review Exercises
Credits
Photos
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 9
Chapter 10
Chapter 11
Chapter 12
Chapter 13
Chapter 14
Chapter 15
Cover
FM
Text
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 9
Chapter 10
Chapter 11
Chapter 12
Chapter 13
Chapter 14
Appendix A
Appendix B
Barrelfold
Index
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
Excel Quick References