• Article - Actionable Information From Soft Data
    http://www.isixsigma.com/library/content/c030602a.asp

    Engineers, Six Sigma practitioners, and other researchers often work with "hard" data - discrete data that can be counted and legitimately expressed as ratios. But what of "soft" data, things like opinions, attitudes, satisfaction? Can statistical process controls (SPC) be applied here? Can process variation in customer satisfaction, for example, be measured and then reported to management in a meaningful way? Can we leverage "appeal", "responsiveness", or "value for money spent"?

  • iSix Sigma - Articles on Statistics
    http://www.isixsigma.com/st/

    Articles on a variety of topics about collecting, measuring, analyzing and processing statistical data.

  • Oracle Crystal Ball
    http://www.oracle.com/appserver/business-intelligence/crystalball/index.html

    Oracle Crystal Ball is the leading spreadsheet-based application suite for predictive modeling, forecasting, simulation, and optimization. It gives you unparalleled insight into the critical factors affecting risk. With Crystal Ball, you can make the right tactical decisions to reach your objectives and gain a competitive edge under even the most uncertain market conditions.

  • Statistical Process Control
    http://www.asq.org/learn-about-quality/data-collection-analysis-tools/overview/control-chart.html

    Arguably the most successful SPC tool is the control chart, originally developed by Walter Shewhart in the early 1920s. A control chart helps you record data and lets you see when an unusual event, e.g., a very high or low observation compared with “typical” process performance, occurs.

  • Statistical Templates for Excel
    http://www.dkstatisticalconsulting.com/statistics-resources/#Prsn

    This page includes information and resources on Pearson's Correlation Coefficient or Pearson's r, Chi-Square, t-tests, including the One-Sample t-test, the Independent Samples t-test, and the Dependent Samples t-test, and the ANOVA, or Analysis of Variance.

  • Statistical Thinking for Managerial Decisions
    http://home.ubalt.edu/ntsbarsh/Business-stat/opre504.htm

    This Web site is a course in statistics appreciation; i.e., acquiring a feeling for the statistical way of thinking. It contains various useful concepts and topics at many levels of learning statistics for decision making under uncertainties. The cardinal objective for this Web site is to increase the extent to which statistical thinking is merged with managerial thinking for good decision making under uncertainty.

  • Topics in Statistical Data Analysis: Revealing Facts From Data
    http://home.ubalt.edu/ntsbarsh/Business-stat/stat-data/Topics.htm

    This site offers information on statistical data analysis. It describes time series analysis, popular distributions, and other topics. It examines the use of computers in statistical data analysis.

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