You can surf the blog freely for stats content, or you can take it "course-style". Simply come back to this page after each quiz and unit, take the modules in order, and you will be a S.R. graduate!
The content is designed so that by the time you finish all the modules, you have "greater than introductory" proficiency. The modules are designed as a supplement to an introductory course* you are taking, but could be used however you wish to increase your statistics proficiency.
*Site under construction. Check back periodically as new modules listed below are continually being made available.
Understanding equations--A new language
Measures of central tendency
Levels of measurement
Measures of variance
Frequency tables I
Frequency tables II
Association, strength and direction of relationships
Dependent vs. independent variable
Bivariate/two-way tables/Crosstabs
Distribution: Normal, standard normal, skewness, kurtosis
Sampling distribution
Degrees of freedom
Z scores: for observations in a sample
Confidence intervals
Z scores: for sample means in a theoretical distribution
Standard error vs. standard deviation
Hypothesis testing: General
Hypothesis testing: One mean, two mean and one tail, two tail
Measures of association: Lambda, gamma
Elaboration analysis
One way ANOVA
*Completion of this content does not "equate" exactly to any specific statistics course or type of statistics course and should not be construed as a guarantee, warranty or representation that completion of this course can be used as a waiver or substitute for any established or institutional statistics course.
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