Data Analysis
Offers a series of videos on statistics.Each unit is based on a video module that introduces a statistical topic in real-world context and takes you on location to where people from all walks of life are using statistics in their work. Starting with descriptive statistics, the course continues through probability and inference. Examples range from finding patterns in lightning strikes, to examining possible generic resistance to deadly Lassa fever in West Africa, to linking DDT to the decline of peregrine falcons. Online interactive tools allow students to practice and use whey they've learned.
Topics include: What is statistics?; Stemplots; Histograms; Measures of Center, Boxplots; Standard Deviation; Normal Curves; Normal Calculations;Checking Assumptions of Normality; Scatterplots; Fitting Lines to Data; Correlations; Two-Way Tables; The Question of Causation; Designing Experiments; Census and Sampling; Sampling and Surveys; Introduction to Probability; Probability Models; Random Variables; Binomial Distributions; Sampling Distributions; Control Charts; Confidence Intervals; Tests of Significance; Small Sample Inference for One Mean; Comparing Two Means; Inference for Proportions; Inference for Two-Way Tables;Inference for Regression; One-Way ANOVA; and, Summary.
This free online software (calculator) computes the following Pearson Correlation output: Scatter Plot, Pearson Product Moment Correlation, Covariance, Determination, and the Correlation T-Test.
This lesson covers everything you need to know.
This lesson demonstrates how to interpret the correlation coefficient of a scatter plot. This is part of a series of lessons about interpreting data presented by a scatter plot.
An overview of research design and analysis.
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