# Search results for: statistics

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• ### Probability & Statistics — Open & Free

Introductory-level course teaches students the basic concepts of statistics and the logic of statistical reasoning. Designed for students with no prior knowledge in statistics, its only prerequisite is basic algebra. Includes a classical treatment of probability. Learn about Open & Free OLI courses by visiting the “Open & Free features” tab below.
• ### Probability & Statistics

\$25
Introductory-level course teaches students the basic concepts of statistics and the logic of statistical reasoning. Designed for students with no prior knowledge in statistics, its only prerequisite is basic algebra. Includes a classical treatment of probability.
• ### Concepts of Statistics

\$20
Introductory statistics course designed for students who may have a weak algebra background.
• ### Statistical Reasoning — Open & Free

Introductory-level course teaches students the basic concepts of statistics and the logic of statistical reasoning. Designed for students with no prior knowledge in statistics, its only prerequisite is basic algebra. Learn about Open & Free OLI courses by visiting the “Open & Free features” tab below.
• ### Causal and Statistical Reasoning — Open & Free

An introduction to causal and statistical reasoning, this course is meant for students interested in critical thinking skills for daily life, students who will take a few statistics courses in service of a related field of study, and/or students interested in the foundations of quantitative causal models: called Bayes Networks. Learn about Open & Free OLI courses by visiting the “Open & Free features” tab below.
• ### Statistical Reasoning

\$25
Introductory-level course teaches students the basic concepts of statistics and the logic of statistical reasoning. Designed for students with no prior knowledge in statistics, its only prerequisite is basic algebra.
• ### Causal and Statistical Reasoning

\$15
An introduction to causal and statistical reasoning, this course is meant for students interested in critical thinking skills for daily life, students who will take a few statistics courses in service of a related field of study, and/or students interested in the foundations of quantitative causal models: called Bayes Networks.
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