Introductory Statistics: A Problem-Solving Approach 2nd edition

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Stephen Kokoska
Publisher: W. H. Freeman

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  • Chapter 0: Why Study Statistics
    • 0: Exercises (2)

  • Chapter 1: An Introduction to Statistics and Statistical Inference
    • 1.1: Statistics Today
    • 1.2: Populations, Samples, Probability, and Statistics (6)
    • 1.3: Experiments and Random Samples (10)
    • 1: Exercises

  • Chapter 2: Tables and Graphs for Summarizing Data
    • 2.1: Types of Data (7)
    • 2.2: Bar Charts and Pie Charts
    • 2.3: Stem-and-Leaf Plots
    • 2.4: Frequency Distributions and Histograms (5)
    • 2: Exercises

  • Chapter 3: Numerical Summary Measures
    • 3.1: Measures of Central Tendency (3)
    • 3.2: Measures of Variability (4)
    • 3.3: The Empirical Rule and Measures of Relative Standing (3)
    • 3.4: Five-Number Summary and Box Plots (4)
    • 3: Exercises

  • Chapter 4: Probability
    • 4.1: Experiments, Sample Spaces, and Events (9)
    • 4.2: An Introduction to Probability (6)
    • 4.3: Counting Techniques
    • 4.4: Conditional Probability (5)
    • 4.5: Independence (8)
    • 4: Exercises

  • Chapter 5: Random Variables and Discrete Probability Distributions
    • 5.1: Random Variables (6)
    • 5.2: Probability Distributions for Discrete Random Variables (3)
    • 5.3: Mean, Variance, and Standard Deviation for a Discrete Random Variable (5)
    • 5.4: The Binomial Distribution (8)
    • 5.5: Other Discrete Distributions (4)
    • 5: Exercises

  • Chapter 6: Continuous Probability Distributions
    • 6.1: Probability Distributions for a Continuous Random Variable (5)
    • 6.2: The Normal Distribution (7)
    • 6.3: Checking the Normality Assumption (1)
    • 6.4: The Exponential Distribution (5)
    • 6.5: The Normal Approximation to the Binomial Distribution (9)
    • 6: Exercises

  • Chapter 7: Sampling Distributions
    • 7.1: Statistics, Parameters, and Sampling Distributions (4)
    • 7.2: The Sampling Distribution of the Sample Mean and the Central Limit Theorem (12)
    • 7.3: The Distribution of the Sample Proportion
    • 7: Exercises

  • Chapter 8: Confidence Intervals Based on a Single Sample
    • 8.1: Point Estimation (4)
    • 8.2: A Confidence Interval for a Population Mean when σ Is Known (9)
    • 8.3: A Confidence Interval for a Population Mean when σ Is Unknown (6)
    • 8.4: A Large-Sample Confident Interval for a Population Proportion
    • 8.5: A Confidence Interval for a Population Variance or Standard Deviation
    • 8: Exercises

  • Chapter 9: Hypothesis Tests Based on a Single Sample
    • 9.1: The Parts of a Hypothesis Test and Choosing the Alternative Hypothesis (12)
    • 9.2: Hypothesis Test Errors (8)
    • 9.3: Hypothesis Tests Concerning a Population Mean when σ Is Known (10)
    • 9.4: p Values (5)
    • 9.5: Hypothesis Tests Concerning a Population Mean when σ Is Unknown (5)
    • 9.6: Large-Sample Hypothesis Tests Concerning a Population Proportion
    • 9.7: Hypothesis Tests Concerning a Population Variance or Standard Deviation
    • 9: Exercises

  • Chapter 10: Confidence Intervals and Hypothesis Tests Based on Two Samples or Treatments
    • 10.1: Comparing Two Population Means Using Independent Samples when Population Variances Are Known (9)
    • 10.2: Comparing Two Population Means Using Independent Samples from Normal Populations (3)
    • 10.3: Paired Data (5)
    • 10.4: Comparing Two Population Proportions Using Large Samples
    • 10.5: Comparing Two Population Variances or Standard Deviations
    • 10: Exercises

  • Chapter 11: The Analysis of Variance
    • 11.1: One-Way ANOVA (7)
    • 11.2: Isolating Differences (6)
    • 11.3: Two-Way ANOVA
    • 11: Exercises

  • Chapter 12: Correlation and Linear Regression
    • 12.1: Simple Linear Regression (6)
    • 12.2: Hypothesis Tests and Correlation (9)
    • 12.3: Inferences Concerning the Mean Value and an Observed Value of Y for x = x* (4)
    • 12.4: Regression Diagnostics (3)
    • 12.5: Multiple Linear Regression (3)
    • 12: Exercises

  • Chapter 13: Categorical Data and Frequency Tables
    • 13.1: Univariate Categorical Data, Goodness-of-Fit Tests
    • 13.2: Bivariate Categorical Data, Tests for Homogeneity and Independence
    • 13: Exercises

  • Chapter 14: Nonparametric Statistics
    • 14.1: The Sign Test
    • 14.2: The Signed-Rank Test
    • 14.3: The Rank-Sum Test
    • 14.4: The Kruskal–Wallis Test
    • 14.5: The Runs Test
    • 14.6: Spearman's Rank Correlation
    • 14: Exercises


Kokoska's data analysis approach in Introductory Statistics: A Problem Solving Approach, 2nd edition, moves students away from formulas and number-crunching, focusing instead on how working statisticians in a variety of fields collect and analyze data and use the results to tackle real-world problems. The WebAssign component for this text engages students with immediate feedback, an interactive eBook with online resources, and a question bank of end-of-section exercises.

Features
  • Every WebAssign question links to applicable chapters in a fully integrated eBook.
  • Learning Curve adaptive quizzing available for every chapter.
  • StatTutors provide multimedia tutorials with built-in assessments that explore important statistics concepts and procedures.
  • Video Technology Manuals provide brief instructions for using specific statistical software (over 50 topics/videos per software) and are available for TI-83/84 calculators, JMP, Excel, Minitab, SPSS, R, and RCmdr.
  • Statistical Videos consist of StatClips, StatClips Examples, and Statistically Speaking "Snapshots," including animated lecture videos, whiteboard lessons, and documentary-style footage that illustrate key statistical concepts and help students visualize statistics in real-world scenarios.
  • Associated data files from the textbook are available to use for appropriate exercises, formatted for TI-83/84 calculators, JMP, Excel, Minitab, SPSS, R, and RCmdr.
  • Downloadable test banks and practice quizzes for each chapter.
  • Book specific PowerPoint lecture slides and iClicker slides.
  • Instructor and student solution manuals.

Questions Available within WebAssign

Most questions from this textbook are available in WebAssign. The online questions are identical to the textbook questions except for minor wording changes necessary for Web use. Whenever possible, variables, numbers, or words have been randomized so that each student receives a unique version of the question. This list is updated nightly.

Question Availability Color Key
BLACK questions are available now
GRAY questions are under development


Group Quantity Questions
Chapter 0: Why Study Statistics
0.E 2 001 003
Chapter 1: An Introduction to Statistics and Statistical Inference
1.2 6 001 003 007 008 009 011
1.3 10 021 023 027 029 031 032 035 037 039 040
Chapter 2: Tables and Graphs for Summarizing Data
2.1 7 001 003 005 007 009 011 013
2.4 5 073 087 088 089 091
Chapter 3: Numerical Summary Measures
3.1 3 001 007 013
3.2 4 033 037 041 047
3.3 3 071 073 094
3.4 4 099 103 105 109
Chapter 4: Probability
4.1 9 001 003 005 019 020 021 023 027 028
4.2 6 039 041 048 049 057 060
4.4 5 107 119 121 127 130
4.5 8 137 139 143 145 149 151 153 165
Chapter 5: Random Variables and Discrete Probability Distributions
5.1 6 001 005 007 009 010 011
5.2 3 021 033 039
5.3 5 045 047 056 057 059
5.4 8 071 073 075 079 087 090 093 095
5.5 4 109 119 121 122
Chapter 6: Continuous Probability Distributions
6.1 5 001 003 012 013 015
6.2 7 027 029 043 044 045 047 049
6.3 1 081
6.4 5 085 093 095 097 102
6.5 9 127 129 131 137 138 139 141 143 145
Chapter 7: Sampling Distributions
7.1 4 001 003 010 011
7.2 12 027 029 031 037 038 039 041 043 045 046 047 049
Chapter 8: Confidence Intervals Based on a Single Sample
8.1 4 001 003 005 008
8.2 9 019 021 023 031 032 033 035 038 039
8.3 6 055 057 059 071 072 075
Chapter 9: Hypothesis Tests Based on a Single Sample
9.1 12 001 003 005 014 015 019 022 023 025 027 029 031
9.2 8 033 035 043 045 046 047 049 050
9.3 10 057 059 074 077 079 083 087 094 095 097
9.4 5 099 101 103 113 119
9.5 5 125 127 145 147 148
Chapter 10: Confidence Intervals and Hypothesis Tests Based on Two Samples or Treatments
10.1 9 001 003 005 015 016 017 019 021 023
10.2 3 031 035 053
10.3 5 067 069 073 078 079
Chapter 11: The Analysis of Variance
11.1 7 001 003 005 015 017 020 021
11.2 6 037 041 045 046 049 053
Chapter 12: Correlation and Linear Regression
12.1 6 005 009 019 021 023 033
12.2 9 035 037 039 041 043 045 050 051 053
12.3 4 067 075 077 082
12.4 3 093 097 100
12.5 3 125 143 144
Chapter 13: Categorical Data and Frequency Tables
13 0  
Chapter 14: Nonparametric Statistics
14 0  
Total 255