Statistical Vignettes

EDDIE Statistical Vignettes are focused on developing quantitative concepts commonly used in the analysis of data. Statistical Vignettes are intended to help students address statistical misconceptions and improve their quantitative reasoning skills. The Vignettes consist of brief lectures, supporting materials, and an engaging story-line with diverse characters to help guide students and teachers through the relevant theoretical background and are intended for instructors to use as stand-alone teaching materials or in conjunction with EDDIE modules.
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Results 1 - 7 of 7 matches

Linear Regression
This educational webpage presents a statistical vignette on linear regression within the Project EDDIE framework, designed for undergraduate environmental science education, covering core concepts like dependent/independent variables, best fit lines, R² interpretation, and practical implementation through downloadable teaching materials and suggested modules.

Normal Distribution
Educational webpage offering a statistical vignette on the normal distribution, covering its properties, applications in data analysis, and instructional materials including a downloadable PowerPoint, learning objectives, and contextual use in environmental science modules.

Correlation Coefficient
Educational webpage offering a statistical vignette on the correlation coefficient as part of Project EDDIE's teaching materials, designed to help students understand how to quantify relationships between variables, with downloadable PowerPoint resources, learning objectives, and context for classroom implementation in environmental science and data-driven modules.

Significant Figures
This educational webpage from Project EDDIE presents a statistical vignette on significant figures, covering their application in scientific measurements, precision and accuracy concepts, and the "Atlantic-Pacific Rule" mnemonic, with learning objectives, classroom context, and downloadable instructional materials for teaching quantitative literacy in undergraduate environmental science courses.

Hypothesis Testing
Hypothesis Testing is a widely used data analysis tool to make inferences or draw conclusions about an area of interest for a population from a selected sample, such as the addition of a new course of study or to test if a new medicine is effective. A hypothesis test evaluates two types of statements for a population by comparing their results using the mean, standard deviation, and sample size. The null hypothesis can be described as the "status quo" with no changes occurring, while the alternative hypothesis expects a change to occur. The benefit of the test is that it can be used to determine the significance of the data and understand an outcome with limited information.         

Confidence Intervals
Confidence intervals are widely used in various scientific fields to estimate a range of values within which a population parameter is likely to fall. This vignette aims to enhance a student's comprehension of confidence intervals and their use in estimating population parameters based on sample data.

M3 (Mean, Median, Mode)
Educational webpage offering a statistical vignette on mean, median, and mode as measures of central tendency, designed for teaching data analysis in undergraduate science courses, with downloadable PowerPoint materials and alignment to EDDIE modules on environmental data.