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For a one-semester alternative to the traditional two-semester developmental algebra sequence that prepares students specifically for an Introductory Statistics course.
Looking for a new path in algebra?
Using authentic data to make math meaningful to students,
Jay Lehmann s A Pathway to Introductory Statistics provides a one-semester alternate path through developmental algebra to accelerate and prepare non-STEM students for introductory statistics. For many students majors, the most fitting college-level math course is statistics. Tailoring their developmental sequence in both content and approach to prepare students for this course of study can only improve their success. Infused with highly relevant data sets throughout, Lehmann presents students with 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. This text equips students to reason statistically as they discover the skills and concepts they ll need for statistics.
0134310039 / 9780134310039 Pathway to Introductory Statistics, A, Access Card Package
Package consists of:
0134107179 / 9780134107172 Pathway to Introductory Statistics, A
0321431308 / 9780321431301 MyMathLab -- Glue-in Access Card
0321654064 / 9780321654069 MyMathLab Inside Star Sticker
"
Synopsis
For a one-semester alternative to the traditional two-semester developmental algebra sequence that prepares students specifically for an Introductory Statistics course.
Looking for a new path in algebra? Using authentic data to make math meaningful to students, Jay Lehmann's A Pathway to Introductory Statistics provides a one-semester alternate path through developmental algebra to accelerate and prepare non-STEM students for introductory statistics. For many students' majors, the most fitting college-level math course is statistics. Tailoring their developmental sequence--in both content and approach--to prepare students for this course of study can only improve their success. Infused with highly relevant data sets throughout, Lehmann presents students with 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. This text equips students to reason statistically as they discover the skills and concepts they'll need for statistics.
KEY TOPICS: Performing Operations and Evaluating Expressions; Designing Observational Studies and Experiments; Graphical and Tabular Displays of Data; Summarizing Data Numerically; Computing Probabilities; Describing Associations of Two Variables Graphically; Graphing Equations of Lines and Linear Models; Rate of Change; Solving Linear Equations and Inequalities to Make Predictions; Finding Equations of Linear Models; Using Exponential Models to Make Predictions; Using A TI-84 Graphing Calculator A-1; Using Statcrunch; Standard Normal Distribution
MARKET: For all readers interested in the prerequisite skills necessary for a descriptive statistics course
0134310039 / 9780134310039 Pathway to Introductory Statistics, A, Access Card Package
Package consists of:
0134107179 / 9780134107172 Pathway to Introductory Statistics, A
0321431308 / 9780321431301 MyMathLab -- Glue-in Access Card
0321654064 / 9780321654069 MyMathLab Inside Star Sticker
Table of Contents
Chapter 1 Performing Operations and Evaluating Expressions
1.1 Variables, Constants, Plotting Points, 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
Chapter 2 Designing Observational Studies and Experiements
2.1 Simple Random Sampling
2.2 Systematic, Stratified, and Cluster Sampling
2.3 Observational Studies and Experiments
Chapter 3 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
Chapter 4 Summarizing Data Numerically
4.1 Measures of Center
4.2 Measures of Spread
4.3 Boxplots
Chapter 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 Values for a Normal Distribution
5.5 Finding Values of Variables for Normal Distributions
Chapter 6 Describing Associations of Two Variables Graphically
6.1 Scatterplots
6.2 Determining the Four Characteristics of an Association
6.3 Modeling Linear Associations
Chapter 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
7.3 Using Slope to Graph Equations Lines and Linear Models
7.4 Functions
Chapter 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
Chapter 9 Finding Equations of Linear Models
9.1 Using Two Points to Determine an Equation of a Line
9.2 Using Two Points to Find an Equation of a Linear Model
9.3 Linear Regression Model
Chapter 10 Using Linear Functions and Formulas to Make Predictions
10.1 Statistics, Geometry, and Algebra Formulas
10.2 Graphing Linear Equations
10.3 Functions
10.4 Using Function Notation to Make Predicions