This article explains the basic ideas and practical challenges in clinical trials of new medicines to show the practical application of statistics in the real-world. The article explores the key considerations for the objectives and design of clinical trials and how these relate to the statistical investigation process. The article also includes…

This paper describes three spreadsheet exercises demonstrating the nature and frequency of type I errors using random number generation. The exercises are designed specifically to address issues related to testing multiple relations using correlation (Demonstration I), t tests varying in sample size (Demonstration II) and multiple comparisons…

Experiments provide a simple and engaging framework for familiarizing students with the process of quantitative social research. In this article, I illustrate how experiments can be used in the classroom environment by describing a module that was implemented in four high school classrooms. The module familiarized students with how the scientific…

This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical…

A realistic applied chemical engineering experimental design and statistical analysis project is documented in this article. This project has been implemented as part of the professional development and applied statistics courses at Villanova University over the past five years. The novel aspects of this project are that the students are given a…

A solid understanding of "inferential statistics" is of major importance for designing and interpreting empirical results in any scientific discipline. However, students are prone to many misconceptions regarding this topic. This article structurally summarizes and describes these misconceptions by presenting a systematic review of publications…

The strong-inference protocol puts into action the important concepts in Platt's often-assigned, classic paper on the strong-inference method (10). Yet, perhaps because students are frequently performing experiments with known outcomes, the protocols they write as undergraduates are usually little more than step-by-step instructions for performing…

Addresses the use of subjective judgment in research that involves statistical/quantitative methods with regard to four aspects of quantitative research: (1) design; (2) preliminary analyses; (3) general analyses; and (4) specific analyses. (Contains 37 references.) (ASK)

Basic information on the research process is offered to college health professionals in four articles titled: "An Introduction to the Research Process,""Designing the Study,""Representative Designs and Their Challenges," and "Analyzing and Communicating Results." Covered are the literature review, hypothesis development, sampling, measurement…

Discusses the need of statistical training for engineering undergraduate students. Describes the six reasons to teach statistics. The methods for statistical quality control are presented. Twenty-three references are listed. (YP)

Identifies and explains some of the crucial elements of team research and data analysis, points out common pitfalls, and makes some helpful suggestions. Sections include general recommendations and communicating in statistical language. (ZWH)

Urges developmental educators to undertake classroom research. Offers guidance on the formulation of research questions. Compares four research methodologies: correlational, experimental, descriptive, and ethnographic research. Reviews potential problems. (DMM)

Reviews research in teaching applied statistics. Concludes that students should analyze data from studies they have designed and conducted. Describes an activity in which students study germination and growth of radish seeds. Includes a table providing student instructions for both the experimental procedure and data analysis. (CFR)

This book discusses two major approaches to social science research: quantitative research, which involves converting observations to numbers and analyzing them statistically; and qualitative research, which looks at participants' opinions, behaviors, and experiences from their own points of view and in a more subjective way. In the book,…

Reviewed are the basic concepts of experimental design, analysis of data, and optimization. Discussed are two-level factorial designs; fractional factorial designs and blocking, additive, linear, and quadratic models; quadratic and composite designs; and designing experiments in design. (CW)