Pathway to Introductory Statistics, A, 2nd edition

Published by Pearson (August 25, 2020) © 2021

  • Jay Lehmann College of San Mateo

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ISBN-13: 9780136880967 (2020 update)
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Looking for a new path to Statistics? Prepare for introductory statistics with a 1-semester course that offers non-STEM students an alternative to the traditional 2-semester developmental algebra sequence. If your major requires Statistics, the PreStatistics approach in A Pathway to Introductory Statistics, 2nd Edition helps you to begin to reason statistically, get familiar with statistical vocabulary, and get comfortable working with data, all while learning the necessary prerequisites to prepare for your college-level course. Packed with authentic data sets to make math meaningful, this program provides both an introduction to descriptive statistics and the required algebra topics needed for a statistics course, while demonstrating the close link between the two subjects.

  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
  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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