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Table of Content: 1. Performing Operations and Evaluating Expressions
1.1 Variables, Constants, Plotting Points, and Inequalities
1.2 Expressions
1.3 Operations with Fractions and Proportions; Converting Units
1.4 Absolute Value and Adding Real Numbers
1.5 Change in a Quantity and Subtracting Real Numbers
1.6 Ratios, Percents, and Multiplying and Dividing Real Numbers
1.7 Exponents, Square Roots, Order of Operations, and Scientific Notation
2. Designing Observational Studies and Experiments
2.1 Simple Random Sampling
2.2 Systematic, Stratified, and Cluster Sampling
2.3 Observational Studies and Experiments
3. Graphical and Tabular Displays of Data 
3.1 Frequency
Table s, Relative Frequency
Table s, and Bar Graphs
3.2 Pie Charts and Two-Way
Table s
3.3 Dotplots, Stemplots, and Time-Series Plots
3.4 Histograms
3.5 Misleading Graphical Displays of Data
4. Summarizing Data Numerically
4.1 Measures of Center
4.2 Measures of Spread
4.3 Boxplots
5. Computing Probabilities
5.1 Meaning of Probability
5.2 Complement and Addition Rules
5.3 Conditional Probability and the Multiplication Rule for Independent Events
5.4 Finding Probabilities for a Normal Distribution
5.5 Finding Values of Variables for Normal Distributions
6. Describing Associations of Two Variables Graphically
6.1 Scatterplots
6.2 Determining the Four Characteristics of an Association
6.3 Modeling Linear Associations
7. Graphing Equations of Lines and Linear Models; Rate of Change
7.1 Graphing Equations of Lines and Linear Models
7.2 Rate of Change and Slope of a Line
7.3 Using Slope to Graph Equations of Lines and Linear Models
7.4 Functions
8. Solving Linear Equations and Inequalities to Make Predictions 
8.1 Simplifying Expressions
8.2 Solving Linear Equations in One Variable
8.3 Solving Linear Equations to Make Predictions
8.4 Solving Formulas
8.5 Solving Linear Inequalities to Make Predictions
9. Finding Equations of Linear Models 
9.1 Using Two Points to Find an Equation of a Line
9.2 Using Two Points to Find an Equation of a Linear Model
9.3 Linear Regression Model
10. Using Exponential Models to Make Predictions 
10.1 Integer Exponents
10.2 R ational Exponents
10.3 G raphing Exponential Models
10.4 Using Two Points to Find an Equation of an Exponential Model
10.5 E xponential Regression Model
Product Details: ISBN-10: 0134107179
ISBN-13: 978-0134107172
ISBN-13: 9780134107172
Author:  Jay Lehmann
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