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Loy, Adam; Kuiper, Shonda; Chihara, Laura – Journal of Statistics Education, 2019
This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science--such as visualization, data manipulation, and database usage--that instructors at a wide-range of institutions can incorporate into existing statistics…
Descriptors: Undergraduate Study, Data Collection, Data Analysis, Statistics
Beemer, Joshua; Spoon, Kelly; Fan, Juanjuan; Stronach, Jeanne; Frazee, James P.; Bohonak, Andrew J.; Levine, Richard A. – Journal of Statistics Education, 2018
Estimating the efficacy of different instructional modalities, techniques, and interventions is challenging because teaching style covaries with instructor, and the typical student only takes a course once. We introduce the individualized treatment effect (ITE) from analyses of personalized medicine as a means to quantify individual student…
Descriptors: Learning Modalities, Academic Achievement, Intervention, Educational Research
Casey, Stephanie A. – Journal of Statistics Education, 2015
The purpose of this research study was to learn about students' conceptions concerning the line of best fit just prior to their introduction to the topic. Task-based interviews were conducted with thirty-three students, focused on five tasks that asked them to place the line of best fit on a scatterplot and explain their reasoning throughout the…
Descriptors: Goodness of Fit, Statistical Analysis, Student Attitudes, Task Analysis
Stanley A. Taylor; Amy E. Mickel – Journal of Statistics Education, 2014
In this article, we present a data set and case study exercise that can be used by educators to teach a range of statistical concepts including Simpson's paradox. The data set and case study are based on a real-life scenario where there was a claim of discrimination based on ethnicity. The exercise highlights the importance of performing rigorous…
Descriptors: Statistics, Case Studies, Concept Formation, Mathematical Concepts
Christou, Nicolas – Journal of Statistics Education, 2008
In this paper we present an application of statistics using real stock market data. Most, if not all, students have some familiarity with the stock market (or at least they have heard about it) and therefore can understand the problem easily. It is the real data analysis that students find interesting. Here we explore the building of efficient…
Descriptors: Statistics, Corporations, Investment, Administration
Binnie, Neil – Journal of Statistics Education, 2004
Bacteria are cultured in medical laboratories to identify them so patients can be treated correctly. The tryptone dataset contains measurements of bacteria counts following the culturing of five strains of "Staphylococcus aureus". It also contains the time of incubation, temperature of incubation and concentration of tryptone, a nutrient. The…
Descriptors: Microbiology, Data Analysis, Statistical Analysis, Regression (Statistics)
Haughton, Dominique; Phong, Nguyen – Journal of Statistics Education, 2004
This case study covers several exploratory data analysis ideas, the histogram and boxplot, kernel density estimates, the recently introduced bagplot--a two-dimensional extension of the boxplot--as well as the violin plot, which combines a boxplot with a density shape plot. We apply these ideas and demonstrate how to interpret the output from these…
Descriptors: Special Programs, Living Standards, Foreign Countries, Data Analysis
Allen, I. Elaine; Sharpe, Norean Radke – Journal of Statistics Education, 2005
This article uses a case study of 2001 town and city data that we analyzed for "Boston Magazine". We use this case study to demonstrate the challenges of creating a valid ranking structure. The data consist of three composite indices for 147 individual townships in the Boston metropolitan area representing measures of public safety; the…
Descriptors: Safety, Metropolitan Areas, Data Analysis, Case Studies
Holcomb, John; Spalsbury, Angela – Journal of Statistics Education, 2005
Textbooks and websites today abound with real data. One neglected issue is that statistical investigations often require a good deal of "cleaning" to ready data for analysis. The purpose of this dataset and exercise is to teach students to use exploratory tools to identify erroneous observations. This article discusses the merits of such…
Descriptors: Experiential Learning, Data Processing, Data Analysis, Error Correction