Rossetti Math
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    • Ch. 0: Pre-Algebra Skills
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    • Ch. 2: Solving Linear Equations
    • Ch. 3: Graphing Linear Equatios
    • Ch. 4: Writing Linear Equations
    • Ch. 5: Inequalities
    • Ch. 6: Systems >
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    • Ch. 7: Exponents & Exponential Functions >
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    • Ch. 8: Polynomials and Factoring >
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      • Factoring
    • Ch. 9: Quadratic Equations and Functions >
      • Quadratics
    • Simplify Radicals
    • Ch. 10: Data Analysis
    • Ch. 11: Probability
    • Measurement & Data Analysis Handbook
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  • Statistics
    • News Presentation
    • Ch. 1: Data Collection
    • Ch. 2: Summarizing Data
    • Ch. 3: Probability
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Free Textbook - Open Stax Introductory Statistics
Preface

​Chapter 1:  Sampling and Data
  • Introduction
  • 1.1 Definitions of Statistics, Probability, and Key Terms
  • 1.2 Data, Sampling, and Variation in Data and Sampling
  • 1.3 Frequency, Frequency Tables, and Levels of Measurement
  • 1.4 Experimental Design and Ethics
  • 1.5 Data Collection Experiment
  • 1.6 Sampling Experiment
Chapter  2:  Descriptive Statistics
  • Introduction
  • 2.1 Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs
  • 2.2 Histograms, Frequency Polygons, and Time Series Graphs
  • 2.3 Measures of the Location of the Data
  • 2.4 Box Plots
  • 2.5 Measures of the Center of the Data
  • 2.6 Skewness and the Mean, Median, and Mode
  • 2.7 Measures of the Spread of the Data
  • 2.8 Descriptive Statistics​
Chapter  4:  Discrete Random Variables
  • Introduction
  • 4.1 Probability Distribution Function (PDF) for a Discrete Random Variable
  • 4.2 Mean or Expected Value and Standard Deviation
  • 4.3 Binomial Distribution
  • 4.4 Geometric Distribution
  • 4.5 Hypergeometric Distribution
  • 4.6 Poisson Distribution
  • 4.7 Discrete Distribution (Playing Card Experiment)
  • 4.8 Discrete Distribution (Lucky Dice Experiment)​
Chapter  6:  The Normal Distribution
  • Introduction
  • 6.1 The Standard Normal Distribution
  • 6.2 Using the Normal Distribution
  • 6.3 Normal Distribution (Lap Times)
  • 6.4 Normal Distribution (Pinkie Length)​
 Chapter  8:  Confidence Intervals
  • Introduction
  • 8.1 A Single Population Mean using the Normal Distribution
  • 8.2 A Single Population Mean using the Student t Distribution
  • 8.3 A Population Proportion
  • 8.4 Confidence Interval (Home Costs)
  • 8.5 Confidence Interval (Place of Birth)
  • 8.6 Confidence Interval (Women's Heights)
Chapter   10:  Hypothesis Testing with Two Samples
  • Introduction
  • 10.1 Two Population Means with Unknown Standard Deviations
  • 10.2 Two Population Means with Known Standard Deviations
  • 10.3 Comparing Two Independent Population Proportions
  • 10.4 Matched or Paired Samples
  • 10.5 Hypothesis Testing for Two Means and Two Proportions​
 Chapter  12:  Linear Regression and Correlation
  • Introduction
  • 12.1 Linear Equations
  • 12.2 Scatter Plots
  • 12.3 The Regression Equation
  • 12.4 Testing the Significance of the Correlation Coefficient
  • 12.5 Prediction
  • 12.6 Outliers
  • 12.7 Regression (Distance from School)
  • 12.8 Regression (Textbook Cost)
  • 12.9 Regression (Fuel Efficiency)
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Lecture Notes for OpenStax Introductory Statistics
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Download the Book as a PDF 
Chapter  3:  Probability Topics
  • Introduction
  • 3.1 Terminology
  • 3.2 Independent and Mutually Exclusive Events
  • 3.3 Two Basic Rules of Probability
  • 3.4 Contingency Tables
  • 3.5 Tree and Venn Diagrams
  • 3.6 Probability Topics
Chapter  5:  Continuous Random Variables
  • Introduction
  • 5.1 Continuous Probability Functions
  • 5.2 The Uniform Distribution
  • 5.3 The Exponential Distribution
  • 5.4 Continuous Distribution
Chapter  7:  The Central Limit Theorem
  • Introduction
  • 7.1 The Central Limit Theorem for Sample Means (Averages)
  • 7.2 The Central Limit Theorem for Sums
  • 7.3 Using the Central Limit Theorem
  • 7.4 Central Limit Theorem (Pocket Change)
  • 7.5 Central Limit Theorem (Cookie Recipes)
Chapter  9:  Hypothesis Testing with One Sample
  • Introduction
  • 9.1 Null and Alternative Hypotheses
  • 9.2 Outcomes and the Type I and Type II Errors
  • 9.3 Distribution Needed for Hypothesis Testing
  • 9.4 Rare Events, the Sample, Decision and Conclusion
  • 9.5 Additional Information and Full Hypothesis Test Examples
  • 9.6 Hypothesis Testing of a Single Mean and Single Proportion​
Chapter  11:  The Chi-Square Distribution
  • Introduction
  • 11.1 Facts About the Chi-Square Distribution
  • 11.2 Goodness-of-Fit Test
  • 11.3 Test of Independence
  • 11.4 Test for Homogeneity
  • 11.5 Comparison of the Chi-Square Tests
  • 11.6 Test of a Single Variance
  • 11.7 Lab 1: Chi-Square Goodness-of-Fit
  • 11.8 Lab 2: Chi-Square Test of Independence
Chapter  13:  F Distribution and One-Way ANOVA
  • Introduction
  • 13.1 One-Way ANOVA
  • 13.2 The F Distribution and the F-Ratio
  • 13.3 Facts About the F Distribution
  • 13.4 Test of Two Variances
  • 13.5 Lab: One-Way ANOVA
Review Exercises (Ch 3-13)
Practice Tests (1-4) and Final Exams
Data Sets
Group and Partner Projects
Solution Sheets
Mathematical Phrases, Symbols, and Formulas
Notes for the TI-83, 83+, 84, 84+ Calculators
Tables

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  • Home
  • Algebra 1
    • Ch. 0: Pre-Algebra Skills
    • Ch. 1: Expressions, Equations, and Functions
    • Ch. 2: Solving Linear Equations
    • Ch. 3: Graphing Linear Equatios
    • Ch. 4: Writing Linear Equations
    • Ch. 5: Inequalities
    • Ch. 6: Systems >
      • Systems Videos
    • Ch. 7: Exponents & Exponential Functions >
      • Ch. 7 Videos
    • Ch. 8: Polynomials and Factoring >
      • Polynomials
      • Factoring
    • Ch. 9: Quadratic Equations and Functions >
      • Quadratics
    • Simplify Radicals
    • Ch. 10: Data Analysis
    • Ch. 11: Probability
    • Measurement & Data Analysis Handbook
    • Skills Readiness
    • spanish
  • Statistics
    • News Presentation
    • Ch. 1: Data Collection
    • Ch. 2: Summarizing Data
    • Ch. 3: Probability
    • OpenIntro Statistics
    • Nova: Prediction by the Numbers
    • Box Plot
    • Statistics Resources
    • OpenStax Statistics
  • Contact
    • About Mr. R