MyLab Math with Pearson eText -- Standalone Access Card -- for A Pathway To Introductory Statistics -- 24 Months

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Prepare for introductory statistics with a one-semester course that offers an alternative to the traditional two-semester developmental algebra sequence. For students whose major requires Statistics, tailoring their developmental sequence with a PreStatistics approach allows them to begin to reason statistically, get familiar with statistical vocabulary, and get comfortable working with data, all while learning the necessary prerequisites to prepare them for their college-level course. 

Packed with authentic data sets to make math meaningful to students, this program provides both an introduction to descriptive statistics and the requisite algebra topics needed for a statistics course, while demonstrating the close link between the two subjects. The 2nd Edition increases the number of MyLab™ Math exercises, revises and refines content throughout, and features a new Workbook by the author with hundreds of affective domain and PreStatistics activities.

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0136679331 / 9780136679332  MYLAB MATH WITH PEARSON ETEXT -- STANDALONE ACCESS CARD -- FOR A PATHWAY TO INTRODUCTORY STATISTICS -- 24 MONTHS, 2/e

Jay Lehmann has taught for the past 30 years at College of San Mateo, where he received the “shiny apple award” for excellence in teaching. He has presented at over 100 conferences including AMATYC and ICTCM over the past 21 years. Jay is currently the newsletter editor for California Mathematics Council, Community Colleges (CMC3); he was presented with the CMC3 President’s Award for his 18 years of service on the CMC3 board. Still young at heart, he plays bass guitar, jamming with his son, who plays wicked drums.  Jay has authored several algebra textbooks published by Pearson in addition to this PreStatistics textbook.

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

         Hands-On Projects: Stocks Project

2. Designing Observational Studies and Experiments

2.1 Simple Random Sampling

2.2 Systematic, Stratified, and Cluster Sampling

2.3 Observational Studies and Experiments

         Hands-On Projects: Survey about Proportions Project; Online Report Project

3. Constructing Graphical and Tabular Displays of Data 

3.1 Frequency Tables, Relative Frequency Tables, and Bar Graphs

3.2 Pie Charts and Two-Way Tables

3.3 Dotplots, Stemplots, and Time-Series Plots

3.4 Histograms

3.5 Misleading Graphical Displays of Data

         Hands-On Projects: Critical-Thinking Project

4. Summarizing Data Numerically

4.1 Measures of Center

4.2 Measures of Spread

4.3 Boxplots

         Hands-On Projects: Comparison Shopping of Cars Project

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 Discrete Random Variables

5.5 Finding Probabilities for a Normal Distribution

5.6 Finding Values of Variables for Normal Distributions

         Hands-On Projects: Heights of Adults Project

6. Constructing Scatterplots and Drawing Linear Models

6.1 Scatterplots

6.2 Determining the Four Characteristics of an Association

6.3 Modeling Linear Associations

         Hands-On Projects: Climate Change Project

         Linear Sketch Project: Topic of Your Choice 421

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

         Hands-On Projects: Climate Change Project; Workout Project

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 and Evaluating Summation Notation

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

         Hands-On Projects: Climate Change Project; Golf Ball Project;

         Linear Project: Topic of Your Choice

10. Using Exponential Models to Make Predictions 

10.1 Integer Exponents

10.2 Rational Exponents

10.3 Graphing Exponential Models

10.4 Using Two Points to Find an Equation of an Exponential Model

10.5 Exponential Regression Model

         Hands-On Projects: Cooling Water Project

         Exponential Project: Topic of Your Choice

11. Logarithmic Functions (Online Only)

11.1 Composite Functions

11.2 Inverse Functions

11.3 Logarithmic Functions

11.4 Properties of Logarithms

11.5 Using the Power Property with Exponential Models to Make Predictions

11.6 More Properties of Logarithms

11.7 Natural Logarithms

Taking It to the Lab: China and India Populations Lab

Folding Paper Lab

Exponential/Logarithmic Lab: Topic of Your Choice

12. Systems of Linear Equations and Systems of Linear Inequalities (Online Only)

12.1 Using Graphs and Tables to Solve Systems

12.2 Using Substitution to Solve Systems

12.3 Using Elimination to Solve Systems

12.4 Using Systems to Model Data

12.5 Perimeter, Value, Interest, and Mixture Problems

12.6 Linear Inequalities in Two Variables: Systems of Linear Inequalities in Two Variables: Systems of Linear Inequalities in Two Variables

Taking It to the Lab: Climate Change Lab (continued from Chapter 8)

Sports Lab

Truck Lab

Chapter Summary

Key Points of Chapter 12

Appendices

A. Using A TI-84 Graphing Calculator 

B. Using StatCrunch

C. Standard Normal Distribution Table

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