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Biostatistics for the Clinician

Biostatistics for the Clinician

University of Texas-Houston
Health Science Center

Lesson 1: Summary Measures of Data

Lesson 1: Summary Measures of Data

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Biostatistics for the Clinician

Table of Contents

Lesson 1.1 Biostatistics: How Much, Why, When and What 1.1.1 How Much: The Six Year old Biostatistician Professional Benefits Conceptual Understanding Needs of Clinicians 1.1.2 Why You Need Biostatistics 1.1.3 When You Need Biostatistics Whole Populations Intuitive Biostatistics Huge Samples Samples from Populations Clinical Relevance Groups Data vs. Individual Differences Who Decides? 1.1.4 What Statistics Lesson 1.2 Variables and Measures 1.2.1 Why Important? 1.2.2 Types of Variables Four Types of Variables Nominal Variables Ordinal Variables Interval Variables Ratio Variables Qualitative vs. Quantitative Variables Don't Dilute Your Variables Parametric vs. Nonparametric Independent vs. Dependent Variables 1.2.3 C.R.A.P. Detectors Lesson 1.3 Central Tendency 1.3.1 Why Important? 1.3.2 Mean 1.3.3 Median 1.3.4 Mode 1.3.5 Summary Principle Lesson 1.4 Variability 1.4.1 Why Important? 1.4.2 Standard Deviation 1.4.3 Interquartile Range 1.4.4 Range Lesson 1.5 Exploratory Data Analysis (EDA) 1.5.1 Why Important? 1.5.2 Box Plots 1.5.3 Hinges 1.5.4 Ranges 1.5.5 Outliers 1.5.6 Box & Whisker plots Lesson 1.6 Standard Scores 1.6.1 Why Important? 1.6.2 Z-Scores 1.6.3 General Z-Score Properties 1.6.4 Gaussian Z-Score Properties Lesson 1.7 Distributions 1.7.1 Why Important? 1.7.2 Gaussian 1.7.3 Binomial 1.7.4 Poisson

Lesson 1: Summary Measures of Data

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