Introduction to statistics
A course in introductory frequentist statistics for absolute beginners, including those with an apprehension towards anything that appears mathematical.
This course was designed for students in special needs education at the University of Oslo, many of whom have absolutely no background in statistics or any mathematics beyond middle school.
The course relies heavily on simulations and visual demonstrations and explains everything from scratch, building up a solid nonmathematical foundation toward understanding the three main pillars of introductory statistical testing: the chi-square test of proportions, t-tests, and bivariate correlations. A brief follow-up introduces the very basics of oneway ANOVA, interactions, and simple linear regression.
If you know nothing about statistics -- and maybe are a little afraid of it -- but need to learn some, or are just curious, this course is for you!
By Athanassios Protopapas, Professor in the Faculty of Educational Sciences, University of Oslo
Stats 96 Exponential notation
Stats 50 Reliability in Jamovi
Stats 49 Reliability
Stats 48b Regression in Jamovi
Stats 47 Regression
Stats 44 ANOVA in Jamovi
Stats 43 Repeated measures
Stats 42 Factorial ANOVA
Stats 41 Oneway ANOVA
Stats 48a Correlation in Jamovi
Stats 46 Nonparametric correlation
Stats 40 Comparing groups in Jamovi
Stats 45 Correlation
Stats 39 Nonparametric tests
Stats 38 Paired samples t test
Stats 37 Independent samples t test
Stats 36 One sample t test
Stats 35 Contingency tables in Excel
Stats 34 Chi square tests in Jamovi
Stats 33 Diagnostic performance
Stats 32 Contingency tables
Stats 31 Chi square 1D
Stats 30 NHST
Stats 29 Power
Stats 28 Null hypothesis
Stats 27 Confidence interval
Stats 26 Standard error
Stats 25 Central limit theorem
Stats 24 Sampling distributions
Stats 23 Sampling