Simulations to demonstrate the properties of sample estimators
Go to Estimator PropertiesSimulations with different distributions of X to demonstrate the CLT
Go to Central Limit TheoremCreate confidence intervals for the population mean
Go to Confidence IntervalsPerform hypothesis tests to evaluate the population mean
Go to Hypothesis Test for the MeanPerform hypothesis tests to evaluate the population variance
Go to Hypothesis Test for VariancePerform ANOVA tests to evaluate significant differences between groups
Go to ANOVAAnalyze stratified sampling and compare with simple random sampling
Go to Stratified SamplingAnalyze cluster sampling and compare with simple random sampling
Go to Cluster SamplingExplore relationships between variables and fit linear regression models
Go to Linear RegressionOrdinary Least Squares method for estimating coefficients
Go to Ordinary Least SquaresMaximum Likelihood Estimation of parameters for the Normal Distribution
Go to Maximum LikelihoodExplore relationships between variables and fit logistic regression models
Go to Logistic RegressionAnalyze the coefficient distributions for each process
Go to AR(1) vs Random WalkAnalyze spurious relationships between non-stationary series
Go to Spurious RegressionComparison between Fixed Effects and Random Effects Estimators
Go to Fixed vs Random Effects