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ISBN-10 ‏ : ‎ 0134508300
ISBN-13 ‏ : ‎ 978-0134508306
Author: Michael Sullivan III

With Fundamentals of Statistics, author and instructor Mike Sullivan III draws on his passion for statistics and teaching to provide the tools needed to see that statistics is connected, not only within individual concepts, but also in the world at large. As a current introductory statistics instructor, Mike Sullivan pulls ideas and strategies used in his classroom into more than 350 new and updated exercises, over 100 new and updated examples, new Retain Your Knowledge problems, and Big Data problems. This practical text takes advantage of the latest statistical software, enabling you to focus on building conceptual understanding rather than memorizing formulas. All resources, including the Student Activity Workbook and Author in the Classroom videos were created for Mike’s classroom to help you succeed and stay engaged.

Table of Content:

Part 1 Getting the Information You Need
1 Data Collection
Outline
Putting it Together
1.1 Introduction to the Practice of Statistics
Objectives
1 Define Statistics and Statistical Thinking
2 Explain the Process of Statistics
3 Distinguish between Qualitative and Quantitative Variables
Problem
Approach
Solution
4 Distinguish between Discrete and Continuous Variables
Problem
Approach
Solution
Problem
Approach
Solution
5 Determine the Level of Measurement of a Variable
Problem
Approach
Solution
1.1 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
1.2 Observational Studies versus Designed Experiments
Objectives
1 Distinguish between an Observational Study and an Experiment
2 Explain the Various Types of Observational Studies
Some Concluding Remarks about Observational Studies versus Designed Experiments
Existing Sources of Data and Census Data
1.2 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Power Lines and Cancer—To Move or Not to Move
“Scare Science”
Findings Shouldn’t Lead to Fear
Background
Methods
Results
Conclusions
1.3 Simple Random Sampling
Objective
Sampling
1 Obtain a Simple Random Sample
Problem
Approach
Solution
Obtaining a Simple Random Sample
Problem
Approach
Solution
Problem
Approach
Solution
1.3 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
1.4 Other Effective Sampling Methods
Objectives
1 Obtain a Stratified Sample
Problem
Approach
Solution
2 Obtain a Systematic Sample
Problem
Approach
Solution
3 Obtain a Cluster Sample
Problem
Approach
Solution
Convenience Sampling
Multistage Sampling
Sample Size Considerations
Summary
1.4 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
1.5 Bias in Sampling
Objective
1 Explain the Sources of Bias in Sampling
Sampling Bias
Nonresponse Bias
Response Bias
Interviewer Error
Misrepresented Answers
Caution!
Wording of Questions
Ordering of Questions or Words
Type of Question
Data-entry Error
Can a Census Have Bias?
Sampling Error versus Nonsampling Error
1.5 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
1.6 The Design of Experiments
Objectives
1 Describe the Characteristics of an Experiment
Problem
Approach
Solution
2 Explain the Steps in Designing an Experiment
3 Explain the Completely Randomized Design
Problem
Approach
Solution
4 Explain the Matched-Pairs Design
Problem
Approach
Solution
1.6 Assess Your Understanding
Vocabulary
Applying the Concepts
Explaining the Concepts
Chapter 1 Review
Summary
Vocabulary
Objectives
Review Exercises
Chapter Test
Part 2 Descriptive Statistics
2 Summarizing Data in Tables and Graphs
Outline
Putting It Together
2.1 Organizing Qualitative Data
Objectives
1 Organize Qualitative Data in Tables
Problem
Approach
Solution
Problem
Approach
Solution
2 Construct Bar Graphs
Problem
Approach
Solution
Problem
Approach
Solution
Side-by-Side Bar Graphs
Problem
Approach
Solution
Horizontal Bars
3 Construct Pie Charts
Problem
Approach
Solution
2.1 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
2.2 Organizing Quantitative Data
Objectives
1 Organize Discrete Data in Tables
Problem
Approach
Solution
2 Construct Histograms of Discrete Data
Problem
Approach
Solution
3 Organize Continuous Data in Tables
Problem
Approach
Solution
Choosing the Lower Class Limit of the First Class
Determining the Class Width
4 Construct Histograms of Continuous Data
Problem
Approach
Solution
Problem
Approach
Solution
5 Draw Stem-and-Leaf Plots
Problem
Approach
Solution
Problem
Approach
Solution
Split Stems
6 Draw Dot Plots
Problem
Approach
Solution
7 Identify the Shape of a Distribution
Problem
Approach
Solution
8 Draw Time-Series Graphs
Problem
Approach
Solution
2.2 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
2.3 Graphical Misrepresentations of Data
Objective
1 Describe What Can Make a Graph Misleading or Deceptive
Problem
Approach
Solution
Problem
Approach
Solution
Problem
Approach
Solution
Problem
Approach
Solution
Problem
Approach
Solution
Problem
Approach
Solution
2.3 Assess Your Understanding
Applying the Concepts
Chapter 2 Review
Summary
Vocabulary
Objectives
Review Exercises
Chapter Test
3 Numerically Summarizing Data
Outline
Putting It Together
3.1 Measures of Central Tendency
Objectives
1 Determine the Arithmetic Mean of a Variable from Raw Data
Problem
Approach
Solution
2 Determine the Median of a Variable from Raw Data
Problem
Approach
Solution
Problem
Approach
Solution
Problem
Approach
Solution
3 Explain What It Means for a Statistic to Be Resistant
Problem
Approach
Solution
Problem
Approach
Solution
4 Determine the Mode of a Variable from Raw Data
Problem
Approach
Solution
Problem
Approach
Solution
Problem
Approach
Solution
Summary: Measures of Central Tendency
3.1 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
3.2 Measures of Dispersion
Objectives
Problem
Approach
Solution
1 Determine the Range of a Variable from Raw Data
Problem
Approach
Solution
2 Determine the Standard Deviation of a Variable from Raw Data
Problem
Approach Using Formula (1)
Solution Using Formula (1)
Approach Using Formula (2)
Solution Using Formula (2)
Problem
Approach
Solution Using Formula (3)
Solution Using Formula (4)
Problem
Approach
Solution
Interpretations of the Standard Deviation
Problem
Approach
Solution
3 Determine the Variance of a Variable from Raw Data
Problem
Approach
Solution
A Final Thought on Variance and Standard Deviation
4 Use the Empirical Rule to Describe Data That Are Bell Shaped
Problem
Approach
Solution
5 Use Chebyshev’s Inequality to Describe Any Set of Data
Problem
Approach
Solution
3.2 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
3.3 Measures of Central Tendency and Dispersion from Grouped Data
Objectives
1 Approximate the Mean of a Variable from Grouped Data
Problem
Approach
Solution
2 Compute the Weighted Mean
Problem
Approach
Solution
3 Approximate the Standard Deviation of a Variable from Grouped Data
Problem
Approach
Solution
Problem
Approach
Solution
3.3 Assess Your Understanding
Applying the Concepts
3.4 Measures of Position and Outliers
Objectives
1 Determine and Interpret z-Scores
Problem
Approach
Solution
2 Interpret Percentiles
Problem
Approach
Interpretation
3 Determine and Interpret Quartiles
Problem
Approach
Solution
Interpretation
Problem
Approach
Solution
4 Determine and Interpret the Interquartile Range
Problem
Approach
Solution
Interpretation
5 Check a Set of Data for Outliers
Problem
Approach
Solution
3.4 Assess Your Understanding
Vocabulary
Applying the Concepts
Explaining the Concepts
3.5 The Five-Number Summary and Boxplots
Objectives
1 Compute the Five-Number Summary
Problem
Approach
Solution
Problem
Approach
Solution
2 Draw and Interpret Boxplots
Problem
Approach
Solution
Using a Boxplot and Quartiles to Describe the Shape of a Distribution
Problem
Approach
Solution
3.5 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Retain Your Knowledge
Explaining the Concepts
Chapter 3 Review
Summary
Vocabulary
Formulas
Population Mean
Sample Mean
Population Standard Deviation
Sample Standard Deviation
Population Variance
Sample Variance
Weighted Mean
Population Mean from Grouped Data
Sample Mean from Grouped Data
Population Standard Deviation from Grouped Data
Sample Standard Deviation from Grouped Data
Population z-Score
Sample z-Score
Interquartile Range
Lower and Upper Fences
Objectives
Review Exercises
Chapter Test
4 Describing the Relation between Two Variables
Outline
Putting It Together
4.1 Scatter Diagrams and Correlation
Objectives
1 Draw and Interpret Scatter Diagrams
Problem
Approach
Solution
2 Describe the Properties of the Linear Correlation Coefficient
3 Compute and Interpret the Linear Correlation Coefficient
Problem
Approach
Solution
Problem
Approach
Solution
4 Determine Whether a Linear Relation Exists between Two Variables
Problem
Approach
Solution
5 Explain the Difference between Correlation and Causation
Problem
Approach
Solution
4.1 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
4.2 Least-Squares Regression
Objectives
Problem
Caution!
Approach
Solution
1 Find the Least-Squares Regression Line and Use the Line to Make Predictions
Least-Squares Regression Criterion
Problem
Approach
Solution
Rounding Rule for the Slope and Intercept
Problem
Approach
Solution
2 Interpret the Slope and the y-Intercept of the Least-Squares Regression Line
Predictions When There Is No Linear Relation
3 Compute the Sum of Squared Residuals
Problem
Approach
Solution
4.2 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
4.3 The Coefficient of Determination
Objective
1 Compute and Interpret the Coefficient of Determination
Problem
By Hand Approach
By Hand Solution
Technology Approach
Technology Solution
Interpretation
4.3 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Retain Your Knowledge
4.4 Contingency Tables and Association
Objectives
1 Compute the Marginal Distribution of a Variable
Problem
Approach
Solution
Problem
Approach
Solution
2 Use the Conditional Distribution to Identify Association among Categorical Data
Problem
Approach
Solution
Problem
Approach
Solution
Problem
Approach
Solution
3 Explain Simpson’s Paradox
Problem
Approach
Solution
4.4 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Retain Your Knowledge
Chapter 4 Review
Summary
Vocabulary
Formulas
Correlation Coefficient
Equation of the Least-Squares Regression Line
Coefficient of Determination, R2
Objectives
Review Exercises
Chapter Test
Part 3 Probability and Probability Distributions
5 Probability
Outline
Putting It Together
5.1 Probability Rules
Objectives
Problem
Approach
Solution
1 Apply the Rules of Probabilities
Example 2 A Probability Model
Definition
2 Compute and Interpret Probabilities Using the Empirical Method
Problem
Approach
Solution
3 Compute and Interpret Probabilities Using the Classical Method
Problem
Approach
Solution
Problem
Approach
Solution
Problem
Approach
Solution
4 Use Simulation to Obtain Data Based on Probabilities
Problem
Approach
Solution
5 Recognize and Interpret Subjective Probabilities
5.1 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
5.2 The Addition Rule and Complements
Objectives
1 Use the Addition Rule for Disjoint Events
Problem
Approach
Solution
Problem
Approach
Solution
2 Use the General Addition Rule
Problem
Approach
Solution
Problem
Approach
Solution
3 Compute the Probability of an Event Using the Complement Rule
Complement of an Event
Problem
Approach
Solution
Problem
Approach
Solution
5.2 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Retain Your Knowledge
5.3 Independence and the Multiplication Rule
Objectives
1 Identify Independent Events
2 Use the Multiplication Rule for Independent Events
Problem
Approach
Solution
Problem
Approach
Solution
3 Compute At-Least Probabilities
Problem
Approach
Solution
5.3 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
5.4 Conditional Probability and the General Multiplication Rule
Objectives
1 Compute Conditional Probabilities
Conditional Probability
Problem
Approach
Solution
Problem
Approach
Solution
Problem
Approach
Solution
2 Compute Probabilities Using the General Multiplication Rule
Problem
Approach
Solution
Problem
Approach
Solution
Problem
Approach
Solution
5.4 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
5.5 Counting Techniques
Objectives
1 Solve Counting Problems Using the Multiplication Rule
Problem
Approach
Solution
Problem
Approach
Solution
Problem
Approach
Solution
The Factorial Symbol
Problem
Approach
Solution
2 Solve Counting Problems Using Permutations
Problem
By Hand Approach
By Hand Solution
Technology Approach
Technology Solution
Problem
Approach
Solution
3 Solve Counting Problems Using Combinations
Problem
Approach
Solution
Problem
By Hand Approach
By Hand Solution
Technology Approach
Technology Solution
Problem
Approach
Solution
4 Solve Counting Problems Involving Permutations with Nondistinct Items
Problem
Approach
Solution
Problem
Approach
Solution
Summary
5 Compute Probabilities Involving Permutations and Combinations
Problem
Approach
Solution
Problem
Approach
Solution
5.5 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
5.6 Putting It Together: Which Method Do I Use?
Objectives
1 Determine the Appropriate Probability Rule to Use
Problem
Approach
Solution
Problem
Approach
Solution
2 Determine the Appropriate Counting Technique to Use
Problem
Approach
Solution
Problem
Approach
Solution
5.6 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Chapter 5 Review
Summary
Vocabulary
Formulas
Empirical Probability
Classical Probability
Addition Rule for Disjoint Events
General Addition Rule
Complement Rule
Multiplication Rule for Independent Events
Multiplication Rule for n Independent Events
Conditional Probability Rule
General Multiplication Rule
Factorial Notation
Permutation
Combination
Permutations with Nondistinct Items
Objectives
Review Exercises
Chapter Test
6 Discrete Probability Distributions
Outline
Putting It Together
6.1 Discrete Random Variables
Objectives
1 Distinguish between Discrete and Continuous Random Variables
2 Identify Discrete Probability Distributions
Problem
Approach
Solution
3 Graph Discrete Probability Distributions
Problem
Approach
Solution
4 Compute and Interpret the Mean of a Discrete Random Variable
Problem
Approach
Solution
How to Interpret the Mean of a Discrete Random Variable
Problem
Approach
Solution
5 Interpret the Mean of a Discrete Random Variable as an Expected Value
Problem
Approach
Solution
Interpretation
6 Compute the Standard Deviation of a Discrete Random Variable
Problem
Approach
Solution
Approach
Solution
Problem
Approach
Solution
6.1 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Retain Your Knowledge
6.2 The Binomial Probability Distribution
Objectives
1 Determine Whether a Probability Experiment Is a Binomial Experiment
Problem
Approach
Solution
2 Compute Probabilities of Binomial Experiments
Problem
Approach
Solution
Problem
Approach
Solution
Interpretation
Interpretation
Interpretation
Interpretation
Obtaining Binomial Probabilities from Tables
Problem
Approach
Solution
Interpretation
Interpretation
Obtaining Binomial Probabilities Using Technology
Problem
Approach
Solution
Interpretation
Interpretation
3 Compute the Mean and Standard Deviation of a Binomial Random Variable
Problem
Approach
Solution
Interpretation
4 Graph a Binomial Probability Distribution
Problem
Approach
Solution
Problem
Approach
Solution
Interpretation
6.2 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
Chapter 6 Review
Summary
Vocabulary
Formulas
Mean (or Expected Value) of a Discrete Random Variable
Standard Deviation of a Discrete Random Variable
Binomial Probability Distribution Function
Mean of a Binomial Random Variable
Standard Deviation of a Binomial Random Variable
Objectives
Review Exercises
Chapter Test
7 The Normal Probability Distribution
Outline
Putting It Together
7.1 Properties of the Normal Distribution
Objectives
1 Use the Uniform Probability Distribution
Problem
Approach
Solution
2 Graph a Normal Curve
3 State the Properties of the Normal Curve
4 Explain the Role of Area in the Normal Density Function
Problem
Approach
Solution
Problem
Approach
Solution
7.1 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Retain Your Knowledge
7.2 Applications of the Normal Distribution
Objectives
1 Find and Interpret the Area under a Normal Curve
Problem
By-Hand Approach
By-Hand Solution
Technology Approach
Technology Solution
Problem
By-Hand Approach
By-Hand Solution
Technology Approach
Technology Solution
Interpretation
Some Cautionary Thoughts
2 Find the Value of a Normal Random Variable
Problem
By-Hand Approach
By-Hand Solution
Technology Approach
Technology Solution
Problem
By-Hand Solution
Technology Solution
Interpretation
Important Notation for the Future
Problem
Approach
By-Hand Solution
Technology Solution
7.2 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
7.3 Assessing Normality
Objective
1 Use Normal Probability Plots to Assess Normality
Problem
Approach
Solution
Interpretation
Problem
Approach
Solution
7.3 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
7.4 The Normal Approximation to the Binomial Probability Distribution
Objective
1 Approximate Binomial Probabilities Using the Normal Distribution
Problem
Approach
Solution
Problem
Approach
Solution
7.4 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Chapter 7 Review
Summary
Vocabulary
Formulas
Standardizing a Normal Random Variable
Finding the Score
Objectives
Review Exercises
Chapter Test
Part 4 Inference: From Samples to Population
8 Sampling Distributions
Outline
Putting It Together
8.1 Distribution of the Sample Mean
Objectives
1Describe the Distribution of the Sample Mean: Normal Population
Problem
Approach
Solution
Problem
Approach
Solution
Problem
Approach
Solution
Interpretation
2 Describe the Distribution of the Sample Mean: Nonnormal Population
Problem
Approach
Solution
Problem
Approach
Solution
Interpretation
8.1 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
Retain Your Knowledge
8.2 Distribution of the Sample Proportion
Objectives
1 Describe the Sampling Distribution of a Sample Proportion
Problem
Approach
Solution
Problem
Approach
Solution
Problem
Approach
Solution
2 Compute Probabilities of a Sample Proportion
Problem
Approach
Solution
Interpretation
Interpretation
8.2 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Retain Your Knowledge
Chapter 8 Review
Summary
Vocabulary
Formulas
Mean and Standard Deviation of the Sampling Distribution of x̄
Sample Proportion
Mean and Standard Deviation of the Sampling Distribution of p̂
Standardizing a Normal Random Variable
Objectives
Review Exercises
Chapter Test
9 Estimating the Value of a Parameter
Outline
Putting It Together
9.1 Estimating a Population Proportion
Objectives
1 Obtain a Point Estimate for the Population Proportion
Problem
Approach
Solution
2 Construct and Interpret a Confidence Interval for the Population Proportion
Problem
Approach
Solution
Problem
By Hand Approach
By-Hand Solution
Technology Approach
Technology Solution
The Effect of Level of Confidence on the Margin of Error
Problem
By-Hand Approach
By-Hand Solution
Technology Approach
Technology Solution
The Effect of Sample Size on the Margin of Error
3 Determine the Sample Size Necessary for Estimating a Population Proportion within a Specified Margin of Error
Problem
Approach
Solution
9.1 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
9.2 Estimating a Population Mean
Objectives
1 Obtain a Point Estimate for the Population Mean
Problem
Approach
Solution
2 State Properties of Student’s t-distribution
Solution
3 Determine t-Values
Problem
Approach
Solution
4 Construct and Interpret a Confidence Interval for a Population Mean
Problem
Approach
By-Hand Approach
Technology Approach
Solution
By-Hand Solution
Technology Solution
5 Determine the Sample Size Needed to Estimate a Population Mean within a Specified Margin of Error
Problem
Approach
Solution
9.2 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Retain Your Knowledge
Explaining the Concepts
9.3 Putting It Together: Which Procedure Do I Use?
Objective
1 Determine the Appropriate Confidence Interval to Construct
Problem
Approach
Solution
By-Hand Solution
Technology Solution
Interpretation
9.3 Assess Your Understanding
Skill Building
Applying the Concepts
Retain Your Knowledge
Chapter 9 Review
Summary
Vocabulary
Formulas
Confidence Intervals
Sample Size
Objectives
Review Exercises
Chapter Test
Chapter 10 Hypothesis Tests Regarding a Parameter
Outline
Putting It Together
10.1 The Language of Hypothesis Testing
Objectives
Problem
Approach
Solution
1 Determine the Null and Alternative Hypotheses
Problem
Approach
Solution
2 Explain Type I and Type II Errors
Problem
Approach
Solution
The Probability of Making a Type I or Type II Error
3 State Conclusions to Hypothesis Tests
Problem
Approach
Solution
10.1 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Retain Your Knowledge
Explaining the Concepts
10.2 Hypothesis Tests for a Population Proportion
Objectives
1 Explain the Logic of Hypothesis Testing
The Logic of the Classical Approach
The Logic of the P-Value Approach
2 Test Hypotheses about a Population Proportion
Problem
Approach
Solution
Classical Approach
P-Value Approach
Problem
Approach
Solution
Classical Approach
P-Value Approach
Test a Hypothesis Using a Confidence Interval
Problem
Solution
3 Test Hypotheses about a Population Proportion Using the Binomial Probability Distribution
Problem
Approach
Solution
10.2 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
10.3 Hypothesis Tests for a Population Mean
Objectives
1 Test Hypotheses about a Mean
Problem
Approach
Solution
Classical Approach
P-Value Approach
Problem
Approach
Solution
Classical Approach
P-Value Approach
2 Understand the Difference between Statistical Significance and Practical Significance
Problem
Approach
Solution
Classical Approach
P-Value Approach
10.3 Assess Your Understanding
Skill Building
Applying the Concepts
Retain Your Knowledge
Explaining the Concepts
10.4 Putting It Together: Which Method Do I Use?
Objective
1 Determine the Appropriate Hypothesis Test to Perform
10.4 Assess Your Understanding
Skill Building
Applying the Concepts
Retain Your Knowledge
Chapter 10 Review
Summary
Determining the Null and Alternative Hypotheses
Vocabulary
Formulas
Test Statistics
Objectives
Review Exercises
Chapter Test
Chapter 11 Inferences on Two Samples
Outline
Putting It Together
11.1 Inference about Two Population Proportions
Objectives
1 Distinguish between Independent and Dependent Sampling
Problem
Approach
Solution
2 Test Hypotheses Regarding Two Proportions from Independent Samples
Problem
Approach
Solution
Classical Approach
P-Value Approach
3 Construct and Interpret Confidence Intervals for the Difference between Two Population Proportions
Problem
Approach
Solution
By-Hand Solution
Technology Solution
Interpretation
4 Determine the Sample Size Necessary for Estimating the Difference between Two Population Proportions
Problem
Approach
Solution
11.1 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Retain Your Knowledge
Explaining the Concepts
11.2 Inference about Two Means: Dependent Samples
Objectives
1 Test Hypotheses for a Population Mean from Matched-Pairs Data
Problem
Approach
Solution
Classical Approach
P-Value Approach
2 Construct and Interpret Confidence Intervals about the Population Mean Difference of Matched-Pairs Data
Problem
By Hand Approach
By-Hand Solution
Technology Approach
Technology Solution
11.2 Assess Your Understanding
Skill Building
Applying the Concepts
11.3 Inference about Two Means: Independent Samples
Objectives
1 Test Hypotheses Regarding the Difference of Two Independent Means
Problem
Approach
Solution
Classical Approach
P-Value Approach
2 Construct and Interpret Confidence Intervals Regarding the Difference of Two Independent Means
Problem
Approach
By-Hand Solution
Technology Solution
Interpretation
What about the Pooled Two-Sample t-Tests?
11.3 Assess Your Understanding
Skill Building*
Applying the Concepts
Retain Your Knowledge
Explaining the Concepts
11.4 Putting It Together: Which Method Do I Use?
Objective
1 Determine the Appropriate Hypothesis Test to Perform
11.4 Assess Your Understanding
Skill Building
Applying the Concepts
Explaining the Concepts
Chapter 11 Review
Summary
Vocabulary
Formulas
Objectives
Review Exercises
Chapter Test
12 Additional Inferential Techniques
Outline
Putting It Together
12.1 Goodness-of-Fit Test
Objectives
1 Determine Critical Values for the Chi-Square Distribution
Problem
Approach
Solution
2 Perform a Goodness-of-Fit Test
Problem
Approach
Solution
Problem
Approach
Solution
Classical Approach
P-Value Approach
Problem
Approach
Solution
Classical Approach
P-Value Approach
12.1 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Retain Your Knowledge
Explaining the Concepts
12.2 Tests for Independence and the Homogeneity of Proportions
Objectives
1 Perform a Test for Independence
Problem
Approach
Solution
Approach
Solution
Classical Approach
P-Value Approach
2 Perform a Test for Homogeneity of Proportions
Problem
Approach
Solution
Classical Approach
P-Value Approach
If Model Requirements Fail
12.2 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
12.3 Testing the Significance of the Least-Squares Regression Model
Objectives
Problem
Approach
Solution
1 State the Requirements of the Least-Squares Regression Model
2 Compute the Standard Error of the Estimate
Problem
Approach
Solution
Problem
Approach
Solution
3 Verify That the Residuals Are Normally Distributed
Problem
Approach
Solution
4 Conduct Inference on the Slope of the Least-Squares Regression Model
Problem
Approach
Solution
Classical Approach
P-Value Approach
5 Construct a Confidence Interval about the Slope of the Least-Squares Regression Model
Problem
By-Hand Approach
By-Hand Solution
Technology Approach
Technology Solution
Inference on the Linear Correlation Coefficient
12.3 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Explaining the Concepts
12.4 Confidence and Prediction Intervals
Objectives
1 Construct Confidence Intervals for a Mean Response
Problem
Approach
Solution
2 Construct Prediction Intervals for an Individual Response
Problem
Approach
Solution
Problem
Approach
Solution
12.4 Assess Your Understanding
Vocabulary and Skill Building
Applying the Concepts
Chapter 12 Review
Summary
Vocabulary
Formulas
Objectives
Review Exercises
Chapter Test
Appendix A Tables
Answers
Chapter 1 Data Collection
1.1 Assess Your Understanding (page 10)
1.2 Assess Your Understanding (page 19)
1.3 Assess Your Understanding (page 26)
1.4 Assess Your Understanding (page 34)
1.5 Assess Your Understanding (page 40)
1.6 Assess Your Understanding (page 47)
Chapter 1 Review Exercises (page 53)
Chapter 1 Test (page 55)
Chapter 2 Organizing and Summarizing Data
2.1 Assess Your Understanding (page 68)
2.2 Assess Your Understanding (page 87)
2.3 Assess Your Understanding (page 100)
Chapter 2 Review Exercises (page 104)
Chapter 2 Test (page 107)
Chapter 3 Numerically Summarizing Data
3.1 Assess Your Understanding (page 119)
3.2 Assess Your Understanding (page 134)
3.3 Assess Your Understanding (page 145)
3.4 Assess Your Understanding (page 154)
3.5 Assess Your Understanding (page 162)
Chapter 3 Review Exercises (page 167)
Chapter 3 Test (page 169)
Chapter 4 Describing the Relation between Two Variables
4.1 Assess Your Understanding (page 182)
4.2 Assess Your Understanding (page 197)
4.3 Assess Your Understanding (page 206)
4.4 Assess Your Understanding (page 217)
Chapter 4 Review Exercises (page 221)
Chapter 4 Test (page 225)
Chapter 5 Probability
5.1 Assess Your Understanding (page 239)
5.2 Assess Your Understanding (page 251)
5.3 Assess Your Understanding (page 259)
5.4 Assess Your Understanding (page 268)
5.5 Assess Your Understanding (page 281)
5.6 Assess Your Understanding (page 287)
Chapter 5 Review Exercises (page 291)
Chapter 5 Test (page 293)
Chapter 6 Discrete Probability Distributions
6.1 Assess Your Understanding (page 305)
6.2 Assess Your Understanding (page 320)
Chapter 6 Review Exercises (page 325)
Chapter 6 Test (page 326)
Chapter 7 The Normal Probability Distribution
7.1 Assess Your Understanding (page 335)
7.2 Assess Your Understanding (page 347)
7.3 Assess Your Understanding (page 354)
7.4 Assess Your Understanding (page 359)
Chapter 7 Review Exercises (page 361)
Chapter 7 Test (page 363)
Chapter 8 Sampling Distributions
8.1 Assess Your Understanding (page 375)
8.2 Assess Your Understanding (page 385)
Chapter 8 Review Exercises (page 388)
Chapter 8 Test (page 389)
Chapter 9 Estimating the Value of a Parameter
9.1 Assess Your Understanding (page 402)
9.2 Assess Your Understanding (page 414)
9.3 Assess Your Understanding (page 421)
Chapter 9 Review Exercises (page 424)
Chapter 9 Test (page 426)
Chapter 10 Hypothesis Tests Regarding a Parameter
10.1 Assess Your Understanding (page 434)
10.2 Assess Your Understanding (page 446)
10.3 Assess Your Understanding (page 456)
10.4 Assess Your Understanding (page 461)
Chapter 10 Review Exercises (page 464)
Chapter 10 Test (page 466)
Chapter 11 Inferences on Two Samples
11.1 Assess Your Understanding (page 477)
11.2 Assess Your Understanding (page 487)
11.3 Assess Your Understanding (page 498)
11.4 Assess Your Understanding (page 503)
Chapter 11 Review Exercises (page 509)
Chapter 11 Test (page 510)
Chapter 12 Additional Inferential Techniques
12.1 Assess Your Understanding (page 522)
12.2 Assess Your Understanding (page 538)
12.3 Assess Your Understanding (page 552)
12.4 Assess Your Understanding (page 560)
Chapter 12 Review Exercises (page 563)
Chapter 12 Test (page 566)
Photo Credits
Index
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
Y
Z

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