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  • Regression/Correlation

    The ninth chapter of an online Introduction to Biostatistics course. Lecture notes and links for futher reading are provided.

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  • Summarizing Data

    The first chapter of an online Introduction to Biostatistics course. Two lecture notes and a set of overheads are provided. Additionally, links for additional reading and exercises with solutions are provided.

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  • Hypothesis Testing

    The seventh chapter of an online Introduction to Biostatistics course. Two sets of lecture notes are provided (only the first one works). Additionally, links for additional reading and exercises with solutions are provided.

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  • Construct Validity in Psychological Tests

    A paper discussing the development of construct validity as applied to psychological studies.

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  • Comparing Two Groups

    This page discusses the procedures and applications of the two sample t test and the paired t test.

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  • Variance and standard deviation

    This source defines and explains variance and standard deviation.

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  • RVLS Case Studies

    This site provides case studies which cover subject areas including: analysis of variance, boxplots, confidence intervals, contrast among means, correlated t-test, correlation, histograms, independent groups t-test, regression, repeated measures ANOVA, and t-tests.

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  • Case Studies in Process Modeling (Engineering Statistics Handbook)

    The online "Engineering Statistics Handbook" provides a section (4.6 Case Studies in Process Modeling) using detailed realistic examples from physical science and engineering applications. Examples in Load Cell Calibration, Alaska Pipeline Ultrasonic Calibration, Ultrasonic Reference Block Study, and Thermal Expansion of Copper Case Study are presented in a step-by-step manner.

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  • Chi Square Tests

    The eighth chapter of an online Introduction to Biostatistics course. Lecture notes are provided. Additionally, links for additional reading and exercises with solutions are provided.

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  • Simple Linear Regression

    This tutorial on Simple Linear Regression includes its definition, assumptions, and characteristics as well as related statistics and hypothesis test procedures. One section instructs users to perform simple linear regression in the WINKS software, but those without the software can still use the tutorial. An exercise is given at the end that can be done with any statistical software package.

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