Statistics Using Technology

Kate Kozak
Statistics With Technology, Third Edition, is an introductory statistics textbook. It uses the TI-83/84 calculator and R, an open source statistical software, for all calculations. Other technology can also be used besides the TI-83/84 calculator and the software R, but these are the ones that are presented in the text. This book presents probability and statistics from a more conceptual approach, and focuses less on computation. Analysis and interpretation of data is more important than how to compute basic statistical values.
License: Creative Commons Attribution Sharealike. This license is considered to be some to be the most open license. It allows reuse, remixing, and distribution (including commercial), but requires any remixes use the same license as the original. This limits where the content can be remixed into, but on the other hand ensures that no-one can remix the content then put the remix under a more restrictive license.
  • DOC. A DOC file can be opened using Microsoft Word or It is an editable format
  • PDF. A Portable Document Format (PDF) file is can be opened using the free Acrobat Reader. It is not an editable format.
Openness Rating (0-4): 3.5
  • Chapter 1: Statistical Basics 
    • Section 1.1: What is Statistics? 
    • Section 1.2: Sampling Methods 
    • Section 1.3: Experimental Design 
    • Section 1.4: How Not to Do Statistics 
  • Chapter 2: Graphical Descriptions of Data 
    • Section 2.1: Qualitative Data 
    • Section 2.2: Quantitative Data 
    • Section 2.3: Other Graphical Representations of Data 
  • Chapter 3: Numerical Descriptions of Data 
    • Section 3.1: Measures of Center 
    • Section 3.2: Measures of Spread 
    • Section 3.3: Ranking 
  • Chapter 4: Probability 
    • Section 4.1: Empirical Probability 
    • Section 4.2: Theoretical Probability 
    • Section 4.3: Conditional Probability 
    • Section 4.4: Counting Techniques 
  • Chapter 5: Discrete Probability Distributions 
    • Section 5.1: Basics of Probability Distributions 
    • Section 5.2: Binomial Probability Distribution 
    • Section 5.3: Mean and Standard Deviation of Binomial Distribution 
  • Chapter 6: Continuous Probability Distributions 
    • Section 6.1: Uniform Distribution 
    • Section 6.2: Graphs of the Normal Distribution 
    • Section 6.3: Finding Probabilities for the Normal Distribution 
    • Section 6.4: Assessing Normality 
    • Section 6.5: Sampling Distribution and the Central Limit Theorem 
  • Chapter 7: One-Sample Inference 
    • Section 7.1: Basics of Hypothesis Testing 
    • Section 7.2: One-Sample Proportion Test 
    • Section 7.3: One-Sample Test for the Mean 
  • Chapter 8: Estimation 
    • Section 8.1: Basics of Confidence Intervals 
    • Section 8.2: One-Sample Interval for the Proportion 
    • Section 8.3: One-Sample Interval for the Mean 
  • Chapter 9: Two-Sample Inference 
    • Section 9.1: Two Proportions
    • Section 9.2: Paired Samples for Two Means
    • Section 9.3: Independent Samples for Two Means
    • Section 9.4: Which Analysis Should You Conduct?
  • Chapter 10: Regression and Correlation 
    • Section 10.1: Regression 
    • Section 10.2: Correlation 
    • Section 10.3: Inference for Regression and Correlation 
  • Chapter 11: Chi-Square and ANOVA Tests 
    • Section 11.1: Chi-Square Test for Independence 
    • Section 11.2: Chi-Square Goodness of Fit 
    • Section 11.3: Analysis of Variance (ANOVA)
  • MyOpenMath / Lumen OHM online homework. MyOpenMath is a free online homework system, built on the open source IMathAS assessment platform. It provides randomized, algorithmically generated homework with automated grading of numerical and algebraic answers, similar to WebAssign and MyMathLab. It also provides a course management system with gradebook, file posting, discussion forums, etc. Assessment sets have been created for this textbook, which may be available for self-study by students, or can copied as a starter course shell by faculty.

    MyOpenMath use is free with community support through forums. For Washington State faculty, the site also mirrors this content.

    Lumen OHM is a commercial alternative to MyOpenMath that provides support for faculty and large scale adoption and administration, service level agreements, and additional curated course bundles.
  • Videos. See the comments below for details.
  • CourseWare package. Courseware packages typically include a course structure with syllabus, some form of homework assignments, and some type of assessments. They may also include: videos, lecture notes, handouts, worksheets, quizzes, etc. See comments below for details
Notes: The MyOpenMath course is currently based on the first edition of the book, still available in PDF and in print.