OpenIntro Statistics 3rd edition

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David M. Diez, Christopher D. Barr, and Mine Cetinkaya-Rundel
Publisher: OpenIntro

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  • Chapter 1: Introduction to data
    • 1.1: Case study: using stents to prevent strokes (1)
    • 1.2: Data basics (3)
    • 1.3: Overview of data collection principles (4)
    • 1.4: Observational studies and sampling strategies (5)
    • 1.5: Experiments (4)
    • 1.6: Examining numerical data (14)
    • 1.7: Considering categorical data (2)
    • 1.8: Case study: gender discrimination (special topic) (1)

  • Chapter 2: Probability (special topic)
    • 2.1: Defining probability (special topic) (7)
    • 2.2: Conditional probability (special topic) (6)
    • 2.3: Sampling from a small population (special topic) (3)
    • 2.4: Random variables (special topic) (5)
    • 2.5: Continuous distributions (special topic) (1)

  • Chapter 3: Distributions of random variables
    • 3.1: Normal distribution (8)
    • 3.2: Evaluating the normal approximation (1)
    • 3.3: Geometric distribution (special topic) (3)
    • 3.4: Binomial distribution (special topic) (7)
    • 3.5: More discrete distributions (special topic) (3)

  • Chapter 4: Foundations for inference
    • 4.1: Variability in estimates (3)
    • 4.2: Confidence intervals (5)
    • 4.3: Hypothesis testing (8)
    • 4.4: Examining the Central Limit Theorem (5)
    • 4.5: Inference for other estimators (3)

  • Chapter 5: Inference for numerical data
    • 5.1: One-sample means with the t-distribution (7)
    • 5.2: Paired data (5)
    • 5.3: Difference of two means (7)
    • 5.4: Power calculations for a difference of means (special topic) (1)
    • 5.5: Comparing many means with ANOVA (special topic) (5)

  • Chapter 6: Inference for categorical data
    • 6.1: Inference for a single proportion (11)
    • 6.2: Difference of two proportions (8)
    • 6.3: Testing for goodness of fit using chi-square (special topic) (3)
    • 6.4: Testing for independence in two-way tables (special topic) (3)
    • 6.5: Small sample hypothesis testing for a proportion (special topic) (2)
    • 6.6: Randomization test (special topic) (1)

  • Chapter 7: Introduction to linear regression
    • 7.1: Line fitting, residuals, and correlation (9)
    • 7.2: Fitting a line by least squares regression (6)
    • 7.3: Types of outliers in linear regression (2)
    • 7.4: Inference for linear regression (5)

  • Chapter 8: Multiple and logistic regression
    • 8.1: Introduction to multiple regression (3)
    • 8.2: Model selection (3)
    • 8.3: Checking model assumptions using graphs (1)
    • 8.4: Introduction to logistic regression (2)


WebAssign is proud to support the open source teaching community through our partnership with OpenIntro. OpenIntro Statistics, 3rd edition, by David M. Diez, Christopher D. Barr, and Mine Çetinkaya-Rundel is a college-level textbook covering data basics, probability, distributions, inference for means and proportions, and regression, including multiple and the basics of logistic regression. The WebAssign component for this title features an eBook, class analytics tools, and instant student feedback on questions.

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Group Quantity Questions
Chapter 1: Introduction to data
1.E 34 002 004 004.j 006 008 010 012 014 016 018 020 024 026 028 030 032 034 036 038 040 042 044 046 046.j 048 050 052 054 056 058 060 062 064 066 068 070
Chapter 2: Probability (special topic)
2.E 22 002 004 006 008 010 012 014 016 018 020 022 024 026 028 030 032 034 036 038 040 042 044
Chapter 3: Distributions of random variables
3.E 22 002 004 006 008 010 012 014 016 018 020 022 024 026 028 030 032 034 036 038 040 042 044
Chapter 4: Foundations for inference
4.E 24 002 004 006 008 010 012 014 016 018 020 022 024 026 028 030 032 034 036 038 040 042 044 046 048
Chapter 5: Inference for numerical data
5.E 25 002 004 006 008 010 012 014 016 018 020 022 024 026 028 030 032 034 036 038 040 042 044 046 048 050
Chapter 6: Inference for categorical data
6.E 28 002 004 006 008 010 012 014 016 018 020 022 024 026 028 030 032 034 036 038 040 042 044 046 048 050 052 054 056
Chapter 7: Introduction to linear regression
7.E 22 002 004 006 008 010 012 014 016 018 020 022 024 026 028 030 032 034 036 038 040 042 044
Chapter 8: Multiple and logistic regression
8.E 9 002 004 006 008 010 012 014 016 018
Total 186 (2)