Mashiyatahmed
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Correlation, Regression, and ANOVA (analysis of variance)
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.
- Class notes
- • 12 pages •
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.
Neuroscience for Basic Neuroimaging
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...
- Class notes
- • 38 pages •
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...
Nonparametric Tests in Psychology
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.
- Class notes
- • 5 pages •
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.
Comprehensive Notes for All of PSY201
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.
- Package deal
- • 2 items •
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.
Introduction to Statistics in Psychology, Central Tendency, and Variability
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...
- Package deal
- Class notes
- • 9 pages •
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...
Introduction to Null Hypothesis Significance Testing
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.
- Package deal
- Class notes
- • 6 pages •
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.