Develop essential mathematics skills with expert instruction and practical examples.
Stress-Free Statistics Learning These materials will help students master Probability and Statistics and will test their knowledge with 100+ practice questions and solutions. Students can use this curriculum as a stand-alone course or as a supplement to any statistics courses they are currently taking. This course will help students master statistics in colleges and universities.
Created by Dr. Laura Roberts, Ph. D.
EnglishSyllabusChapter 1 - The Purpose of StatisticsChapter 2 - Cases, Variables, and QuestionsChapter 3 - Frequency Distributions and Visual Displays of DataChapter 4 - Measures of Central TendencyChapter 5 - Measures of VariabilityChapter 6 - The Normal Distribution and Standard ScoresChapter 7 - The Bivariate Normal DistributionChapter 8 - Regression and PredictionChapter 9 - ProbabilityChapter 10 - Statistical InferenceChapter 11 - Introduction to Hypothesis TestingChapter 12 - Estimation Issues and the t DistributionChapter 13 - Statistics for Categorical Dependent VariablesChapter 14 - Inferences about Correlations and Fisher's Z TransformationThe chapters are aligned with those in the following text:Glass, G. V. & Hopkins, K.
D. (1996). Statistical Methods in Education and Psychology.
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