Mashiyatahmed

This document includes easy-to-understand notes and examples regarding the main concepts of experimental and statistical theory of correlation and regression. Notes and worked-out examples of factorial, repeated measures, and independent ANOVA in a variety of experimental design setting relevant to psychology. Formulas and graphical explanations of concepts are present.

Basic principles of neuroimaging methods as applied to human subjects research and introduce the neuroscience concepts and terminology necessary for a basic understanding of neuroimaging applications. Topics include the history of neuroimaging, an introduction to neuroimaging physics and image formation, as well as an overview of different neuroimaging applications, including functional MRI, diffusion tensor imaging, magnetic resonance spectroscopy, perfusion imaging, and positron emission tomog...

This package includes notes and practice question(s) with full calculated answers regarding nonparametric statistical tests relevant to the psychological and biological sciences. In particular, Chi-Square (goodness-of-fit and independence test), Mann-Whitney-U, and Wilcoxon-Signed-Rank-Test is covered with comprehensive examples for each.

This package deals contains comprehensive notes and questions with full, calculated answers regarding basic descriptive statistical analysis. This covers 100% of the PSY201 (Research Methodology and Statistical Analysis for Psychology) course offered by UTM (University of Toronto, Mississauga). Major topics include central tendency and NHST.

These course notes cover fundamental topics present in any introductory statistics class. This includes the distinction between descriptive and inferential statistics, understanding scales of measures and variable types, a basic run-down of frequency distributions and how to calculate central tendency measures (e.g., mean, median, and mode) from both raw data and frequency data. There is also variability formulas involved (e.g., interquartile range, sample variability, and population variability...

This is a brief introduction to the logical process and formulaic aspects of null hypothesis significance testing (NHST). It includes a basic run-down of the three possible t-tests involved in doing NHST. There are also practice work included. Conceptually, NHST can be difficult to understand and apply, but this document gives a simple explanation of it.