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Faculty

  • The ARTIST website provides a variety of assessment resources for teaching first courses in statistics. ARTIST's goal is to help teachers assess statistical literacy, statistical reasoning, and statistical thinking in their statistics classes. Registration is required to use assessment materials.

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  • SERJ is a peer-reviewed electronic journal of the International Association for Statistical Education (IASE) and the International Statistical Institute (ISI). SERJ is published twice a year and is free.

    SERJ aims to advance research-based knowledge that can help to improve the teaching, learning, and understanding of statistics or probability at all educational levels and in both formal (classroom-based) and informal (out-of-classroom) contexts. Such research may examine, for example, cognitive, motivational, attitudinal, curricular, teaching-related, technology-related, organizational, or societal factors and processes that are related to the development and understanding of stochastic knowledge. In addition, research may focus on how people use or apply statistical and probabilistic information and ideas, broadly viewed.

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  • TISE is an open access journal/publication from the UCLA Department of Statistics on the use of assorted technologies in the statistics classroom.

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  • Statistics and probability concepts are included in K–12 curriculum standards—particularly the Common Core State Standards—and on state and national exams. STEW provides free peer-reviewed teaching materials in a standard format for K–12 math and science teachers who teach statistics concepts in their classrooms.

    STEW lesson plans identify both the statistical concepts being developed and the age range appropriate for their use. The statistical concepts follow the recommendations of the Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report: A Pre-K-12 Curriculum Framework, Common Core State Standards for Mathematics, and NCTM Principles and Standards for School Mathematics. The lessons are organized around the statistical problemsolving process in the GAISE guidelines: formulate a statistical question, design and implement a plan to collect data, analyze the data by measures and graphs, and interpret the data in the context of the original question. Teachers can navigate the STEW lessons by grade level and statistical topic.

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  • The Journal of Statistics Education provides a collection of Java applets and excel spreadsheets (and the articles associated with them) from as early as 1998 on this webpage.

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  • In the "Mathematics & Statistics" section on the "Faculty Showcase" tab, one can find a free, online statistics textbook (and link to other text resources) along with multiple professors' accounts of how they use this text in their respective classrooms.  On each professor's page is a description of the course taught, what caused each instructor to switch texts, how the text/course material has been received by students, and a sample assignment/syllabus from the course.  This is a wealth of information for those looking to switch books or gain insight into other professors' classes.

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  • StatCrunch is a web-based package that does a complete range of statistical calculations. Formerly known as WebStat, it provides statistical calculation functions that would be done in most introductory statistics courses, including, but not limited to, creating histograms, pie charts, and boxplots; calculating summary statistics and confidence intervals; and performing hypothesis tests. It allows data to be entered in a spreadsheet style data window or opened from a file. StatCrunch does require a subscription for students and professionals ($13 for 6 months and $23 for 12 months).

    StatCrunchThis allows you to pull data sets contained on many web pages in various forms directly into StatCrunch for analysis.

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  • Most statistical concepts are taught within an already packed secondary mathematics curriculum by mathematics teachers who are often under prepared to teach statistics. To address this issue, the Enhancing Statistics Teacher Education with E-Modules [ESTEEM] project hopes to facilitate the infusion of statistics content and pedagogy into undergraduate mathematics teacher preparation by providing faculty with technological and curricular resources, networking experiences, and ongoing support. ESTEEM includes course materials such as lessons, quizzes, videos, and activities.

    All hoping to access these resources must create an account at The PLACE

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  • "This page contains data sets provided by UCLA faculty members in the Social Sciences, OBEE, and Economics departments. The purpose of the page is to provide vivid, real-life examples of how raw data is analyzed using computer programs such as STATA for introductory statistics classes such as Stat 11, Stat 12 and Stat 13." The format of the data is .dta.
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  • This collection of data can be used for many useful statistical analyses. Data and description are in a separate file and useful for SAS data analysis too. Data are categorized by analysis type, hence easy to pic relevant data sets accordingly. The data can be used for many analysis such as, Categorical data analysis, Polynomial Linear, Nonlinear, Logistic, Poisson, Negative Binomial Regression analysis, Response Surface Regression, Binary Response Regression, Time Series Data,1-Way ANOVA/ Independent Samples t-test, Multi-Factor ANOVA, and many other data analysis.
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