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Searched for: Statistical Topic is Data Presentation -- Multivariate Quantitative Relationships
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View Resource Using EDA, ANOVA and Regression to Optimise some Microbiology Data

This article describes a dataset containing information on bacterium culturing. Students can use graphical methods, one-way and two-way ANOVA, and multiple polynomial regression to estimate the optimal conditions for bacteria growth. Key Words: Analysis of variance; Exploratory data analysis; Interactions; Optimisation; Outlier.

http://www.amstat.org/publications/jse/v12n2/datasets.binnie...
View Resource Explanatory Style and Athletic Performance

As described in the web page itself: "This document was prepared as an illustration of the use of both t tests and correlation/regression analysis in drawing conclusions from data in an actual study." The study compares athletic performance of swimmers that are optimists vs. pessimists.

http://www.uvm.edu/~dhowell/StatPages/Swimming/Swimming.html
View Resource What are outliers in the data?

This excerpt from Engineering Statistics Handbook gives a definition for and examples of outliers. A sub-page also discusses Grubbs' Test for Outliers

http://www.itl.nist.gov/div898/handbook/prc/section1/prc16.h...
View Resource Against All Odds: 8. Describing Relationships

This free online program describes "how to use a scatterplot to display relationships between variables. Patterns in variables (positive, negative, and linear association) and the importance of outliers are discussed. The program also calculates the least squares regression line of metabolic rate y on lean body mass x for a group of subjects and examines the fit of the regression line by...

http://www.learner.org/resources/series65.html
View Resource Exploratory Data Analysis Case Studies (Engineering Statistics Handbook)

This part of the NIST Engineering Statistics Handbook contains case studies for Exploratory Data Analysis. Some of the topics include normal and uniform random numbers, reliability using airplane glass failure times, and analysis of primary factors using ceramic strength.

http://www.itl.nist.gov/div898/handbook/eda/section4/eda42.h...
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