An R Introduction to Statistics

mean

Hierarchical Linear Model

  Linear regression probably is the most familiar technique of data analysis, but its application is often hamstrung by model assumptions. For instance, if the data has a hierarchical structure, quite often the assumptions of linear regression are feasible only at local levels. We will investigate an extension of the linear model to bi-level hierarchies.

Interval Estimate of Population Mean with Unknown Variance

A tutorial on computing the interval estimate of population mean at given confidence level. The variance of the population is assumed to be unknown.

Interval Estimate of Population Mean with Known Variance

A tutorial on computing the interval estimate of population mean at given confidence level. The variance of the population is assumed to be known.

Point Estimate of Population Mean

A tutorial on computing the point estimate of population mean from a simple random sample.

Mean

A tutorial on computing the mean of an observation variable in statistics.

Category Statistics

A tutorial on computing numerical measures of qualitative data in a data sample.