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. 1.0: Introduction
  8. 1.1: Definitions of Statistics, Probability, and Key Terms
  9. 1.2: Data, Sampling, and Variation in Data and Sampling
  10. 1.3: Frequency, Frequency Tables, and Levels of Measurement
  11. 1.4: Experimental Design and Ethics
  12. 1.5: Data Collection Experiment (Worksheet)
  13. 1.6: Sampling Experiment (Worksheet)
  14. 1.E: Sampling and Data (Exercises)
  15. 2: Descriptive Statistics
  16. 2.0: Prelude to Descriptive Statistics
  17. 2.1: Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs
  18. 2.2: Histograms, Frequency Polygons, and Time Series Graphs
  19. 2.3: Measures of the Location of the Data
  20. 2.3E: Measures of the Location of the Data (Exercises)
  21. 2.4: Box Plots
  22. 2.5: Measures of the Center of the Data
  23. 2.6: Skewness and the Mean, Median, and Mode
  24. 2.7: Measures of the Spread of the Data
  25. 2.8: Descriptive Statistics (Worksheet)
  26. 2.E: Descriptive Statistics (Exercises)
  27. 3: Probability Topics
  28. 3.0: Introduction
  29. 3.1: Terminology
  30. 3.2: Independent and Mutually Exclusive Events
  31. 3.3: Two Basic Rules of Probability
  32. 3.4: Contingency Tables
  33. 3.5: Tree and Venn Diagrams
  34. 3.6: Permutations and Combinations
  35. 3.7: Probability Topics (Worksheet)
  36. 3.E: Probability Topics (Exericses)
  37. 4: Discrete Random Variables
  38. 4.0: Prelude to Discrete Random Variables
  39. 4.1: Probability Distribution Function (PDF) for a Discrete Random Variable
  40. 4.2: Mean or Expected Value and Standard Deviation
  41. 4.3: Binomial Distribution
  42. 4.4: Geometric Distribution
  43. 4.5: Hypergeometric Distribution
  44. 4.6: Poisson Distribution
  45. 4.7: Discrete Distribution (Playing Card Experiment)
  46. 4.8: Discrete Distribution (Lucky Dice Experiment)
  47. 4.E: Discrete Random Variables (Exercises)
  48. 5: Continuous Random Variables
  49. 5.0: Introduction
  50. 5.1: Continuous Probability Functions
  51. 5.2: The Uniform Distribution
  52. 5.3: The Exponential Distribution
  53. 5.4: Continuous Distribution (Worksheet)
  54. 5.E: Continuous Random Variables (Exercises)
  55. 5.E: Exercises
  56. 6: The Normal Distribution
  57. 6.0: Prelude to The Normal Distribution
  58. 6.1: The Standard Normal Distribution
  59. 6.1E: The Standard Normal Distribution (Exercises)
  60. 6.2: Using the Normal Distribution
  61. 6.3: Normal Distribution - Lap Times (Worksheet)
  62. 6.4: Normal Distribution - Pinkie Length (Worksheet)
  63. 6.E: The Normal Distribution (Exercises)
  64. 7: The Central Limit Theorem
  65. 7.0: Prelude to the Central Limit Theorem
  66. 7.1: The Central Limit Theorem for Sample Means (Averages)
  67. 7.1E: The Central Limit Theorem for Sample Means (Exercises)
  68. 7.2: The Central Limit Theorem for Sample Proportions
  69. 7.2.1: The Central Limit Theorem for Sums
  70. 7.3: Using the Central Limit Theorem
  71. 7.3E: Using the Central Limit Theorem (Exercises)
  72. 7.4: Central Limit Theorem - Pocket Change (Worksheet)
  73. 7.5: Central Limit Theorem - Cookie Recipes (Worksheet)
  74. 7.E: The Central Limit Theorem (Exercises)
  75. 8: Confidence Intervals
  76. 8.0: Prelude to Confidence Intervals
  77. 8.1: A Single Population Mean using the Normal Distribution
  78. 8.1E: A Single Population Mean using the Normal Distribution (Exercises)
  79. 8.2: A Single Population Mean using the Student t-Distribution
  80. 8.3: A Population Proportion
  81. 8.4: Confidence Interval - Home Costs (Worksheet)
  82. 8.5: Confidence Interval -Place of Birth (Worksheet)
  83. 8.6: Confidence Interval -Women's Heights (Worksheet)
  84. 8.E: Confidence Intervals (Exercises)
  85. 8.S: Confidence Intervals (Summary)
  86. 9: Hypothesis Testing with One Sample
  87. 9.0: Prelude to Hypothesis Testing
  88. 9.1: Null and Alternative Hypotheses
  89. 9.1E: Null and Alternative Hypotheses (Exercises)
  90. 9.2: Outcomes and the Type I and Type II Errors
  91. 9.2E: Outcomes and the Type I and Type II Errors (Exercises)
  92. 9.3: Distribution Needed for Hypothesis Testing
  93. 9.3E: Distribution Needed for Hypothesis Testing (Exercises)
  94. 9.4: Rare Events, the Sample, Decision and Conclusion
  95. 9.4E: Rare Events, the Sample, Decision and Conclusion (Exercises)
  96. 9.5: Additional Information and Full Hypothesis Test Examples
  97. 9.6: Hypothesis Testing of a Single Mean and Single Proportion (Worksheet)
  98. 9.E: Hypothesis Testing with One Sample (Exercises)
  99. 10: Hypothesis Testing with Two Samples
  100. 10.0: Prelude to Hypothesis Testing with Two Samples
  101. 10.1: Two Population Means with Unknown Standard Deviations
  102. 10.2: Two Population Means with Known Standard Deviations
  103. 10.3: Comparing Two Independent Population Proportions
  104. 10.4: Matched or Paired Samples
  105. 10.5: Hypothesis Testing for Two Means and Two Proportions (Worksheet)
  106. 10.E: Hypothesis Testing with Two Samples (Exercises)
  107. 11: The Chi-Square Distribution
  108. 11.0: Prelude to The Chi-Square Distribution
  109. 11.1: Facts About the Chi-Square Distribution
  110. 11.2: Goodness-of-Fit Test
  111. 11.3: Test of Independence
  112. 11.4: Test for Homogeneity
  113. 11.5: Comparison of the Chi-Square Tests
  114. 11.6: Test of a Single Variance
  115. 11.7: Lab 1- Chi-Square Goodness-of-Fit (Worksheet)
  116. 11.8: Lab 2- Chi-Square Test of Independence (Worksheet)
  117. 11.E: The Chi-Square Distribution (Exercises)
  118. 12: Linear Regression and Correlation
  119. 12.0: Prelude to Linear Regression and Correlation
  120. 12.1: Linear Equations
  121. 12.1E: Linear Equations (Exercises)
  122. 12.2: Scatter Plots
  123. 12.2E: Scatter Plots (Exercises)
  124. 12.3: The Regression Equation
  125. 12.3E: The Regression Equation (Exercise)
  126. 12.4: Testing the Significance of the Correlation Coefficient
  127. 12.4E: Testing the Significance of the Correlation Coefficient (Exercises)
  128. 12.5: Prediction
  129. 12.5E: Prediction (Exercises)
  130. 12.6: Outliers
  131. 12.6E: Outliers (Exercises)
  132. 12.7: Regression - Distance from School (Worksheet)
  133. 12.8: Regression - Textbook Cost (Worksheet)
  134. 12.9: Regression - Fuel Efficiency (Worksheet)
  135. 12.E: Linear Regression and Correlation (Exercises)
  136. 13: F Distribution and One-Way ANOVA
  137. 13.0: Prelude to F Distribution and One-Way ANOVA
  138. 13.1: One-Way ANOVA
  139. 13.2: The F Distribution and the F-Ratio
  140. 13.3: Facts About the F Distribution
  141. 13.4: Test of Two Variances
  142. 13.5: Lab- One-Way ANOVA
  143. 13.E: F Distribution and One-Way ANOVA (Exercises)
  144. Back Matter
  145. Index
  146. Glossary
  147. Detailed Licensing