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Watier, Nicholas N.; Lamontagne, Claude; Chartier, Sylvain – Journal of Statistics Education, 2011
The arithmetic mean is a fundamental statistical concept. Unfortunately, social science students rarely develop an intuitive understanding of the mean and rely on the formula to describe or define it. According to constructivist pedagogy, educators that have access to a variety of conceptualizations of a particular concept are better equipped to…
Descriptors: Foreign Countries, Educational Strategies, Constructivism (Learning), Social Sciences
Lawton, Leigh – Journal of Statistics Education, 2009
Hypothesis testing is one of the more difficult concepts for students to master in a basic, undergraduate statistics course. Students often are puzzled as to why statisticians simply don't calculate the probability that a hypothesis is true. This article presents an exercise that forces students to lay out on their own a procedure for testing a…
Descriptors: Hypothesis Testing, Probability, Learning Activities, Statistics
Chang, G. Andy; Kerns, G. Jay; Lee, D. J.; Stanek, Gary L. – Journal of Statistics Education, 2009
Calibration is a technique that is commonly used in science and engineering research that requires calibrating measurement tools for obtaining more accurate measurements. It is an important technique in various industries. In many situations, calibration is an application of linear regression, and is a good topic to be included when explaining and…
Descriptors: Class Activities, Regression (Statistics), Statistics, Measurement
Knypstra, Sytse – Journal of Statistics Education, 2009
In a statistics course for bachelor students in econometrics a new format was adopted in which students were encouraged to study more actively and in which cooperative learning and peer teaching was implemented. Students had to work in groups of two or three students where each group had to perform certain tasks. One of these tasks was: explaining…
Descriptors: Cooperative Learning, Peer Teaching, Economics, Active Learning
Nelson, Dean – Journal of Statistics Education, 2009
Following the Guidelines for Assessment and Instruction in Statistics Education (GAISE) recommendation to use real data, an example is presented in which simple linear regression is used to evaluate the effect of the Montreal Protocol on atmospheric concentration of chlorofluorocarbons. This simple set of data, obtained from a public archive, can…
Descriptors: International Relations, Regression (Statistics), Statistics, Evaluation Methods
Walters, Elizabeth J.; Morrell, Christopher H.; Auer, Richard E. – Journal of Statistics Education, 2006
Least squares regression is the most common method of fitting a straight line to a set of bivariate data. Another less known method that is available on Texas Instruments graphing calculators is median-median regression. This method is proposed as a simple method that may be used with middle and high school students to motivate the idea of fitting…
Descriptors: Simulation, Graphing Calculators, Regression (Statistics), Least Squares Statistics
Larsen, Michael D. – Journal of Statistics Education, 2006
Lecture is a common presentation style that gives instructors a lot of control over topics and time allocation, but can limit active student participation and learning. This article presents some ideas to increase the level of student involvement in lecture. The examples and suggestions are based on the author's experience as a senior lecturer for…
Descriptors: Guidelines, Teaching Assistants, Graduate Students, Student Participation
Meyer, Mary C. – Journal of Statistics Education, 2006
From a very young age, shoes for boys tend to be wider than shoes for girls. Is this because boys have wider feet, or because it is assumed that girls are willing to sacrifice comfort for fashion, even in elementary school? To assess the former, a statistician measures kids' feet. (Contains 2 tables and 3 figures.)
Descriptors: Females, Males, Gender Differences, Sex Stereotypes
Doane, David P. – Journal of Statistics Education, 2004
Many students doubt that statistical distributions are of practical value. Simulation makes it possible for students to tackle challenging, understandable projects that illustrate how distributions can be used to answer "what-if" questions of the type often posed by analysts. Course materials that have been developed over two years of classroom…
Descriptors: Statistical Distributions, Relevance (Education), Mathematical Concepts, Mathematics Instruction