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Statistics and Probability

Statistics and Probability: descriptive statistics, probability theory, random variables, distributions, inference, regression, and ANOVA.

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Types of data, populations, samples, and data collectionStart module 1 Starting Check for this course (6 questions)

Grade University

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Up nextModule 1 · Data and Descriptive StatisticsTypes of data, populations, samples, and data collection
Not startedModule 2 · Data and Descriptive StatisticsTables, graphs, and exploring data
Not startedModule 3 · Data and Descriptive StatisticsMeasures of center and position
Not startedModule 4 · Data and Descriptive StatisticsMeasures of spread and the shape of a distribution
Not startedModule 5 · ProbabilitySample spaces and events
Not startedModule 6 · ProbabilityCounting rules
Not startedModule 7 · ProbabilityProbability axioms and rules
Not startedModule 8 · ProbabilityConditional probability and independence
Not startedModule 9 · ProbabilityThe law of total probability and Bayes' theorem
Not startedModule 10 · Random VariablesDiscrete random variables and probability mass functions
Not startedModule 11 · Random VariablesContinuous random variables, PDFs, and CDFs
Not startedModule 12 · Random VariablesExpectation, moments, and variance
Not startedModule 13 · Random VariablesJoint, marginal, and conditional distributions
Not startedModule 14 · Random VariablesCovariance and correlation
Not startedModule 15 · Discrete DistributionsBernoulli and binomial distributions
Not startedModule 16 · Discrete DistributionsMultinomial and hypergeometric distributions
Not startedModule 17 · Discrete DistributionsGeometric and negative binomial distributions
Not startedModule 18 · Discrete DistributionsThe Poisson distribution and Poisson processes
Not startedModule 19 · Continuous DistributionsContinuous uniform and exponential distributions
Not startedModule 20 · Continuous DistributionsThe normal distribution and standardization
Not startedModule 21 · Continuous DistributionsGamma, chi-square, and related distributions
Not startedModule 22 · Transformations and SamplingTransformations of one or more random variables
Not startedModule 23 · Transformations and SamplingSampling distributions and the central limit theorem
Not startedModule 24 · Transformations and SamplingThe t and F distributions
Not startedModule 25 · EstimationProperties of estimators and point estimation methods
Not startedModule 26 · EstimationConfidence intervals for one population
Not startedModule 27 · EstimationConfidence intervals for two populations
Not startedModule 28 · Hypothesis TestingTesting concepts, errors, p-values, and power
Not startedModule 29 · Hypothesis TestingTests for one population
Not startedModule 30 · Hypothesis TestingTests for two populations and paired data
Not startedModule 31 · Hypothesis TestingGoodness of fit and contingency tables
Not startedModule 32 · Regression and CorrelationSimple linear regression
Not startedModule 33 · Regression and CorrelationCorrelation and inference about correlation
Not startedModule 34 · Regression and CorrelationMultiple linear regression
Not startedModule 35 · Design of ExperimentsOne-way ANOVA
Not startedModule 36 · Design of ExperimentsTwo-way ANOVA and factorial designs
Not startedModule 37 · Nonparametric MethodsBasic nonparametric tests