Comparison of important aspects of five statistical analysis programs with helpful summary characteristic tables for those interested in finding the best program for their personal use.
This site is an index of modules which cover probability and statistics topics including basic probability, random variables, moments, distributions, data analysis including regression, moving averages, exponential smoothing, and clustering.
DataCounts! is an interactive website designed to help integrate social statistics into the classroom setting. Each collection contains a wide variety of datasets that can be viewed online with WebCHIP. DataCounts! also houses a collection of teaching modules that have been created by teachers across the country to integrate social science data into their classes.
StatVillage is a hypothetical village in Canada. Homes in StatVillage are laid out in a system of blocks on a rectangular grid with 8 homes per block. In the middle of each group of 8 homes is a playing area. Houses are addressed using a block and unit-within-block system. Services (e.g. food stores, shops) are located on the periphery of the village and are not shown on the map. Households can be selected for a survey by using a clickable map.
This chapter of the NIST Engineering Statistics handbook describes Exploratory Data Analysis with an introduction, a discussion of the assumptions, a description of the techniques used, and a set of case studies.
This chapter of the NIST Engineering Statistics handbook describes the measurement process characterization with discussions of control, calibration, gauge studies, and uncertainty analysis, and a set of case studies.
This chapter of the NIST Engineering Statistics handbook describes how to do a production process characterization study. It contains an introduction, discussion of the assumptions, information about data collection and analysis, and case studies.
This chapter of the NIST Engineering Statistics handbook provides information on the proper design of experiments. It contains an introduction, a discussion of assumptions, a description of different design types, a discussion of the analysis of data, and case studies.
