Elementary Statistics with Integrated Review and Guided Workbook plus MyLab Statistics with Pearson eText Package

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Elementary Statistics with Integrated Review and Guided Workbook plus MyLab Statistics with Pearson eText Package Bank Test , Elementary Statistics with Integrated Review and Guided Workbook plus MyLab Statistics with Pearson eText Package Textbook , Elementary Statistics with Integrated Review and Guided Workbook plus MyLab Statistics with Pearson eText Package PDF , Elementary Statistics with Integrated Review and Guided Workbook plus MyLab Statistics with Pearson eText Package eBook , Mario F. Triola, Dutchess Community College

Category : Higher Education

Table of Contents

Total IR Problems: 423

Review 1: Introduction to Integrated Review: 79 problems

IR 1-1: How is Statistics Different (not on MyStatLab: in Integrated Review supplement only)
IR 1-2 How to Construct a Plan of Action for Success (not on MyStatLab: in Integrated Review supplement only)
IR 1-3: Identifying Variables in Context
IR 1-4: Recognizing and Converting Between Units of Measurement
IR 1-5: Classifying Data as a Type of Number
IR 1-6: Evaluating Exponents
IR 1-7: Translating between Scientific Notation and Standard Form and Vice Versa
IR 1-8: Significant Digits
IR 1-9: Interpreting Technology Output that is in Scientific Notation

Chapter 1: Introduction to Statistics

1-1 Statistical and Critical Thinking
1-2 Types of Data
1-3 Collecting Sample Data

Review 2: Fractions, Percents, Decimals, and Graphing Points : 59 Problems

IR 2-1: Rounding Decimals
IR 2-2: Writing Fractions in Lowest Terms
IR 2-3: Converting Between Decimals, Fractions, and Percents
IR 2-4: Calculating Relative Frequencies
IR 2-5: Finding the Percentage of a Number
IR 2-6: Plotting points
IR 2-7: Review of Skills for Graphing

Chapter 2: Summarizing and Graphing

2-1 Frequency Distributions for Organizing and Summarizing Data
2-2  Histograms for Exploring Distributions
2-3 Graphs that Enlighten and Graphs that Deceive
2-4 Scatterplots, Correlation, and Regression

Review 3: Getting Ready to Evaluate Statistical Formulas: 50 Problems

IR 3-1: Order of Operations
IR 3-2: Square Roots
IR 3-3: Evaluating Expressions and Formulas
IR 3-4: Evaluating Expressions with Summation Notation

Chapter 3: Statistics for Describing, Exploring, and Comparing Data

3-1 Measures of Center
3-2 Measures of Variation
3-3 Measures of Relative Standing and Boxplots

Review 4: Preparing for Probability : 63 Problems

IR 4-1: Operations with Fractions
IR 4-2: Operations with Decimals
IR 4-3: Factorials
IR 4-4: Evaluating nPr and nCr
IR 4-5: Set Operations (Union, Intersection and Complements)

Chapter 4: Probability4-1 Probability that Everyone Should Probably Know

4-2 Addition Rule and Multiplication Rule
4-3 Complements, Conditional Probability , and Bayes Theorem
4-4 Counting
4-5 Probabilities through Simulations (Only Online)
4-6  Bayes’ Theorem (Only Online)

Review 5: Evaluating Formulas for Probability Distributions. 30 Problems     .

IR 5-1: Evaluating the Formulas for Probability Distributions
IR 5-2: Evaluating the Binomial Probability Formula
IR 5-3: Evaluating expressions with the Number e
IR 5-4: Evaluating the Poisson Formula

Chapter 5: Probability Distributions

5-1 Probability Distributions
5-2  Binomial Probability Distributions
5-3 Poisson Probability Distributions

Review 6: The Building Blocks for Working with Normal Distributions: 15 Problems

IR 6-1: Area of Rectangles and Proportions of Total Area
IR 6 -2: Inequality Notation
IR 6-3: Evaluating Formulas for Normal Probability Distributions

Chapter 6: Normal Probability Distributions

6-1 The Standard Normal Distribution
6-2 Real Applications of Normal Distributions
6-3 Sampling Distributions and Estimators
6-4 Central Limit Theorem
6-5 Assessing Normality
6-6 Normal as Approximation to Binomial

Review 7: Intervals of Numbers : 17 Problems

IR 7-1: Finding the Middle Value of an Interval
IR 7-2: Finding the Distance from the Middle to the End
IR 7-3: The Three Different Forms of Intervals
IR 7-4: Evaluating confidence interval formulas

Chapter 7: Estimates and Sample Sizes

7-1  Estimating a Population Proportion
7-2 Estimating a Population Mean
7-3  Estimating a Population Standard Deviation or Variance
7-4 Bootstrapping: Using Technology for Estimates

Review 8: Evaluating Formulas for Hypothesis Testing 5 Problems

IR 8-1: Evaluating Formulas for Hypothesis Testing

Chapter 8: Hypothesis Testing

8-1 Basics of Hypothesis Testing
8-2 Testing a Claim about a Proportion
8-3 Testing a Claim about a Mean
8-4 Testing a Claim about a Standard Deviation or Variance

Review 9: Evaluating Formulas for Two-Sample Hypothesis Testing: 17 Problems

IR 9-1: Evaluating Formulas for Two-Sample Hypothesis Testing

Chapter 9: Inferences from Two Samples

9-1 Two Proportions
9-2  Two Means: Independent Samples
9-3 Two Dependent Samples (Matched Pairs)
9-4  Odds Ratios
9-5 Two Variances or Standard Deviations

Review 10: Linear Equations 76 Problems

IR 10-1:  Slope
IR 10-2: Y-Intercept
IR 10-3: Finding Points on a Line
IR 10-4: Graphing Lines
IR 10-5: Linear Models

Chapter 10: Correlation and Regression

10-1 Correlation
10-2 Regression
10-3 Prediction Intervals and Variation
10-4 Multiple Regression
10-5 Nonlinear Regression

Chapter 11: Goodness-of-Fit and Contingency Tables

11-1 Goodness-of-Fit
11-2 Contingency Tables

Chapter 12: Analysis of Variance

12-1 One-Way ANOVA
12-2 Two-Way ANOVA

Chapter 13: Nonparametric Tests

13-1 Sign Test
13-2 Wilcoxon Signed-Ranks Test for Matched Pairs
13-3 Wilcoxon Rank-Sum Test for Two Independent Samples
13-4 Kruskal-Wallis Test
13-5 Rank Correlation
13-6 Runs Test for Randomness

Chapter 14: Statistical Process Control

14-1 Control Charts for Variation and Mean
14-2 Control Charts for Attributes

Chapter 15: Ethics, Projects, Procedures, and Perspectives

15-1 Ethics in Statistics
15-2 Projects
15-3 Procedures
15-4 Perspectives

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