For Faculty
- Page ID
- 44781
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\(\newcommand{\avec}{\mathbf a}\) \(\newcommand{\bvec}{\mathbf b}\) \(\newcommand{\cvec}{\mathbf c}\) \(\newcommand{\dvec}{\mathbf d}\) \(\newcommand{\dtil}{\widetilde{\mathbf d}}\) \(\newcommand{\evec}{\mathbf e}\) \(\newcommand{\fvec}{\mathbf f}\) \(\newcommand{\nvec}{\mathbf n}\) \(\newcommand{\pvec}{\mathbf p}\) \(\newcommand{\qvec}{\mathbf q}\) \(\newcommand{\svec}{\mathbf s}\) \(\newcommand{\tvec}{\mathbf t}\) \(\newcommand{\uvec}{\mathbf u}\) \(\newcommand{\vvec}{\mathbf v}\) \(\newcommand{\wvec}{\mathbf w}\) \(\newcommand{\xvec}{\mathbf x}\) \(\newcommand{\yvec}{\mathbf y}\) \(\newcommand{\zvec}{\mathbf z}\) \(\newcommand{\rvec}{\mathbf r}\) \(\newcommand{\mvec}{\mathbf m}\) \(\newcommand{\zerovec}{\mathbf 0}\) \(\newcommand{\onevec}{\mathbf 1}\) \(\newcommand{\real}{\mathbb R}\) \(\newcommand{\twovec}[2]{\left[\begin{array}{r}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\ctwovec}[2]{\left[\begin{array}{c}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\threevec}[3]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\cthreevec}[3]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\fourvec}[4]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\cfourvec}[4]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\fivevec}[5]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\cfivevec}[5]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\mattwo}[4]{\left[\begin{array}{rr}#1 \amp #2 \\ #3 \amp #4 \\ \end{array}\right]}\) \(\newcommand{\laspan}[1]{\text{Span}\{#1\}}\) \(\newcommand{\bcal}{\cal B}\) \(\newcommand{\ccal}{\cal C}\) \(\newcommand{\scal}{\cal S}\) \(\newcommand{\wcal}{\cal W}\) \(\newcommand{\ecal}{\cal E}\) \(\newcommand{\coords}[2]{\left\{#1\right\}_{#2}}\) \(\newcommand{\gray}[1]{\color{gray}{#1}}\) \(\newcommand{\lgray}[1]{\color{lightgray}{#1}}\) \(\newcommand{\rank}{\operatorname{rank}}\) \(\newcommand{\row}{\text{Row}}\) \(\newcommand{\col}{\text{Col}}\) \(\renewcommand{\row}{\text{Row}}\) \(\newcommand{\nul}{\text{Nul}}\) \(\newcommand{\var}{\text{Var}}\) \(\newcommand{\corr}{\text{corr}}\) \(\newcommand{\len}[1]{\left|#1\right|}\) \(\newcommand{\bbar}{\overline{\bvec}}\) \(\newcommand{\bhat}{\widehat{\bvec}}\) \(\newcommand{\bperp}{\bvec^\perp}\) \(\newcommand{\xhat}{\widehat{\xvec}}\) \(\newcommand{\vhat}{\widehat{\vvec}}\) \(\newcommand{\uhat}{\widehat{\uvec}}\) \(\newcommand{\what}{\widehat{\wvec}}\) \(\newcommand{\Sighat}{\widehat{\Sigma}}\) \(\newcommand{\lt}{<}\) \(\newcommand{\gt}{>}\) \(\newcommand{\amp}{&}\) \(\definecolor{fillinmathshade}{gray}{0.9}\)Licensing
The licensing for this textbook changes based on the webpage (sub-section). As most of the textbook was modified from Foster et al. (2021), much of the textbook is CC-BY-NC-SA (a Creative Commons license that allows anyone to use the information for non-commercial purposes and the user must license the modified work in the same way). Most of the other authors’ work is licensed as CC-BY-SA (a Creative Commons license allowing use that requires that any modifications of the current work is licensed in the same way).
Homework
Homework for the first edition of this textbook housed in Canvas Commons (search PSYC 2200). Dr. MO created worksheets that can be answered via Canvas Quizzes, while other faculty have since created other homework ancillaries for the first edition of this textbook. In the worksheets designed by Dr. MO, more questions were provided than might be reasonable for a student to complete for one assignment in order for faculty to have options to “mix and match” questions to create their own worksheets and Canvas quizzes. This variety will provide a better fit for you and your class, as well as reduce the likelihood of your exact homework leaking into the hands of the internet. If this worksheet quiz format or the data sets don't work for you, there are full courses for behavioral statistics on Canvas Commons that provide quizzes or labs (for this textbook, and in general). You can also look into MyOpenMath, or the Query or ADAPT functions in LibreTexts.
Book Features
Units
The first edition of this textbook was originally organized into units with some Examples and Exercises based on a theme for each unit. The potential units and themes are as follows:
- Unit 1: Description theme is student success
- Unit 2: Mean Differences theme is growth mindset
- Unit 3: Relationships theme is nutrition
- Unit 4: Wrap-Up theme is future careers
Future editions will break Unit 2 into two units, one based on t-tests and one based on ANOVAs. If you have data that would be good to work with for ANOVAs, please send it to Dr. MO! In particular, she's interested in data that BIPOC students would find interesting and has a strengths focus (not a deficit lens).
Notation
Many of the formulas and notation in this textbook are intentionally mathematically incorrect. Although you and I may know what they mean, adding a bunch of subscripts and extra symbols can only confuse students. In this introductory textbook, the notations and formulas were chosen to be easy to understand for students new to mathematical equations, rather than mathematically correct.
Common Formulas and Critical Value Tables
In case you don't poke around in the Back Matter, there is a page of Common Formulas which includes all of the formulas discussed in this textbook. There's also a Common Critical Value Tables page in the Back Matter that is linked to each page with a critical value table in the textbook.
Articulation
This book was compiled to fulfill the requirements of the Course Identification descriptor (C-ID) for Math 110 for the California Community Colleges and Taft College’s Course Outline of Record for PSYC 2200 (Elementary Statistics for the Behavioral and Social Sciences).
Additional Textbooks
This textbook is a compilation of Dr. MO’s own work with a lot of support from several CC-BY-SA or CC-BY-NC-SA textbooks on LibreTexts website, including:
- Foster, G. C., Lane, D., Scott, D., Hebl, M., Guerra, R., Osherson, D., & Zimmer, H. (2021). An Introduction to Psychological. Retrieved July 3, 2021, from https://stats.libretexts.org/@go/page/7077
- Navarro, D. (2020). Learning Statistics with R - A tutorial for Psychology Students and other Beginners. Retrieved July 3, 2021, from https://stats.libretexts.org/@go/page/3936
- Crump, M. J. C. (2021). Answering Questions with Data - Introductory Statistics for Psychology Students. Retrieved July 3, 2021, from https://stats.libretexts.org/@go/page/7883
Additional textbooks that might be useful are:
- Poritz, J. A (2021). Lies, Damned Lies, or Statistics - How to Tell the Truth with Statistics (Poritz). Retrieved July 3, 2021, from https://stats.libretexts.org/@go/page/7784
- Illowsky, B., & Dean, S. (2019). Book: Introductory Statistics (OpenStax) With Multimedia and Interactivity. Retrieved July 3, 2021, from https://stats.libretexts.org/@go/page/6885
Finally, this support course to help statistics students with basic math is also listed in Learning (Statistic) section of this textbook: Green, L. (2021). Support Course for Elementary Statistics. Retrieved July 3, 2021, from https://stats.libretexts.org/@go/page/4710
Enjoy!