Introductory Statistics

by Barbara Illowsky & Susan Dean

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This text follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.

Description from LibreTexts.

Publisher
De Anza College
Subjects
Statistics
Licence
CC BY 4.0, as LibreTexts states it
Who can read
Tweens profiles and older, judged from its title and subjects

Contents

LibreTexts writes equations in TeX, and here they show as TeX; the PDF has them typeset.

  1. Front Matter
  2. TitlePage
  3. InfoPage
  4. Table of Contents
  5. Licensing
  6. 1: Sampling and Data
  7. 1.1: Introduction
  8. 1.2: Definitions of Statistics, Probability, and Key Terms
  9. 1.3: Data, Sampling, and Variation in Data and Sampling
  10. 1.4: Frequency, Frequency Tables, and Levels of Measurement
  11. 1.5: Experimental Design and Ethics
  12. 1.6: Data Collection Experiment (Worksheet)
  13. 1.7: Sampling Experiment (Worksheet)
  14. 1.E: Sampling and Data (Exercises)
  15. 2: Descriptive Statistics
  16. 2.1: Prelude to Descriptive Statistics
  17. 2.2: Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs
  18. 2.3: Histograms, Frequency Polygons, and Time Series Graphs
  19. 2.4: Measures of the Location of the Data
  20. 2.4E: Measures of the Location of the Data (Exercises)
  21. 2.5: Box Plots
  22. 2.6: Measures of the Center of the Data
  23. 2.7: Skewness and the Mean, Median, and Mode
  24. 2.8: Measures of the Spread of the Data
  25. 2.9: Descriptive Statistics (Worksheet)
  26. 2.E: Descriptive Statistics (Exercises)
  27. 3: Probability Topics
  28. 3.1: Introduction
  29. 3.2: Terminology
  30. 3.3: Independent and Mutually Exclusive Events
  31. 3.4: Two Basic Rules of Probability
  32. 3.5: Contingency Tables
  33. 3.6: Tree and Venn Diagrams
  34. 3.7: Probability Topics (Worksheet)
  35. 3.E: Probability Topics (Exericses)
  36. 4: Discrete Random Variables
  37. 4.1: Prelude to Discrete Random Variables
  38. 4.2: Probability Distribution Function (PDF) for a Discrete Random Variable
  39. 4.3: Mean or Expected Value and Standard Deviation
  40. 4.4: Binomial Distribution
  41. 4.5: Geometric Distribution
  42. 4.6: Hypergeometric Distribution
  43. 4.7: Poisson Distribution
  44. 4.8: Discrete Distribution (Playing Card Experiment)
  45. 4.9: Discrete Distribution (Lucky Dice Experiment)
  46. 4.E: Discrete Random Variables (Exercises)
  47. 5: Continuous Random Variables
  48. 5.1: Introduction
  49. 5.2: Continuous Probability Functions
  50. 5.3: The Uniform Distribution
  51. 5.4: The Exponential Distribution
  52. 5.5: Continuous Distribution (Worksheet)
  53. 5.E: Continuous Random Variables (Exercises)
  54. 5.E: Exercises
  55. 6: The Normal Distribution
  56. 6.1: Prelude to The Normal Distribution
  57. 6.2: The Standard Normal Distribution
  58. 6.2E: The Standard Normal Distribution (Exercises)
  59. 6.3: Using the Normal Distribution
  60. 6.4: Normal Distribution - Lap Times (Worksheet)
  61. 6.5: Normal Distribution - Pinkie Length (Worksheet)
  62. 6.E: The Normal Distribution (Exercises)
  63. 7: The Central Limit Theorem
  64. 7.1: Prelude to the Central Limit Theorem
  65. 7.2: The Central Limit Theorem for Sample Means (Averages)
  66. 7.2E: The Central Limit Theorem for Sample Means (Exercises)
  67. 7.3: The Central Limit Theorem for Sums
  68. 7.4: Using the Central Limit Theorem
  69. 7.4E: Using the Central Limit Theorem (Exercises)
  70. 7.5: Central Limit Theorem - Pocket Change (Worksheet)
  71. 7.6: Central Limit Theorem - Cookie Recipes (Worksheet)
  72. 7.E: The Central Limit Theorem (Exercises)
  73. 8: Confidence Intervals
  74. 8.1: Prelude to Confidence Intervals
  75. 8.2: A Single Population Mean using the Normal Distribution
  76. 8.2E: A Single Population Mean using the Normal Distribution (Exercises)
  77. 8.3: A Single Population Mean using the Student t-Distribution
  78. 8.4: A Population Proportion
  79. 8.5: Confidence Interval - Home Costs (Worksheet)
  80. 8.6: Confidence Interval -Place of Birth (Worksheet)
  81. 8.7: Confidence Interval -Women's Heights (Worksheet)
  82. 8.E: Confidence Intervals (Exercises)
  83. 8.S: Confidence Intervals (Summary)
  84. 9: Hypothesis Testing with One Sample
  85. 9.1: Prelude to Hypothesis Testing
  86. 9.2: Null and Alternative Hypotheses
  87. 9.2E: Null and Alternative Hypotheses (Exercises)
  88. 9.3: Outcomes and the Type I and Type II Errors
  89. 9.3E: Outcomes and the Type I and Type II Errors (Exercises)
  90. 9.4: Distribution Needed for Hypothesis Testing
  91. 9.4E: Distribution Needed for Hypothesis Testing (Exercises)
  92. 9.5: Rare Events, the Sample, Decision and Conclusion
  93. 9.5E: Rare Events, the Sample, Decision and Conclusion (Exercises)
  94. 9.6: Additional Information and Full Hypothesis Test Examples
  95. 9.7: Hypothesis Testing of a Single Mean and Single Proportion (Worksheet)
  96. 9.E: Hypothesis Testing with One Sample (Exercises)
  97. 10: Hypothesis Testing with Two Samples
  98. 10.1: Prelude to Hypothesis Testing with Two Samples
  99. 10.2: Two Population Means with Unknown Standard Deviations
  100. 10.3: Two Population Means with Known Standard Deviations
  101. 10.4: Comparing Two Independent Population Proportions
  102. 10.5: Matched or Paired Samples
  103. 10.6: Hypothesis Testing for Two Means and Two Proportions (Worksheet)
  104. 10.E: Hypothesis Testing with Two Samples (Exercises)
  105. 11: The Chi-Square Distribution
  106. 11.1: Prelude to The Chi-Square Distribution
  107. 11.2: Facts About the Chi-Square Distribution
  108. 11.3: Goodness-of-Fit Test
  109. 11.4: Test of Independence
  110. 11.5: Test for Homogeneity
  111. 11.6: Comparison of the Chi-Square Tests
  112. 11.7: Test of a Single Variance
  113. 11.8: Lab 1- Chi-Square Goodness-of-Fit (Worksheet)
  114. 11.9: Lab 2- Chi-Square Test of Independence (Worksheet)
  115. 11.E: The Chi-Square Distribution (Exercises)
  116. 12: Linear Regression and Correlation
  117. 12.1: Prelude to Linear Regression and Correlation
  118. 12.2: Linear Equations
  119. 12.2E: Linear Equations (Exercises)
  120. 12.3: Scatter Plots
  121. 12.3E: Scatter Plots (Exercises)
  122. 12.4: The Regression Equation
  123. 12.4E: The Regression Equation (Exercise)
  124. 12.5: Testing the Significance of the Correlation Coefficient
  125. 12.5E: Testing the Significance of the Correlation Coefficient (Exercises)
  126. 12.6: Prediction
  127. 12.6E: Prediction (Exercises)
  128. 12.7: Outliers
  129. 12.7E: Outliers (Exercises)
  130. 12.8: Regression - Distance from School (Worksheet)
  131. 12.9: Regression - Textbook Cost (Worksheet)
  132. 12.10: Regression - Fuel Efficiency (Worksheet)
  133. 12.E: Linear Regression and Correlation (Exercises)
  134. Back Matter
  135. Index
  136. Glossary
  137. Detailed Licensing