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CONTENTs Introduction Chapter 1 Basic Concepts in Statistics 1.1 Statistical Concepts 2 1.2 Variables and Type of Data 5 1.3 Sampling Techniques 12 1.4 Observational and Experimental Studies 17 Chapter 2 Organizing and Graphing Data 2.1 Raw Data 32 2.2 Organizing and Graphing Qualitative Data 33 2.3 Organizing and Graphing Quantitative Data 47 Chapter 3 Numerical Descriptive Measures

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JASP stands for Jeffrey’s Amazing Statistics Program in recognition of the pioneer of Bayesian inference Sir Harold Jeffreys. iv Contents 3.5 Bivariate Statistics: Correlation and Regression 48 3.5.1 Correlation 48 3.5.2 Regression 49 3.6 Chi-Square Analysis 50 4 Cleaning Up Your Act: Screening Data Prior to Analysis 52

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Title. Discover policy-relevant research. Students should have had an introductory statistical methods course at about the level of Moore and McCabe’s Introduction to the Practice of Statistics (Moore and 3.9 Statistical significance 128 3.10 Confidence intervals 131 3.11 Power and robustness 135 3.12 Degrees of freedom 136 3.13 Non-parametric analysis 137 4 Descriptive statistics 138 4.1 Counts and specific values 140 4.2 Measures of central tendency 142 4.3 Measures of spread 149 4.4 Measures of distribution shape 158 4.5 Statistical indices 162

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3 min read. During this year’s JASP workshop in Amsterdam, one of the workshop participants, Dr. Mark Goss-Sampson from the University of Greenwich, brought to our attention an impressive 119-page students’ guide to JASP. of analysis usually encountered in particle physics.

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