![]() Employees waste time scouring multiple sources for a database. Your organization database contains a wealth of information, yet the decision technology group members tap a fraction of it. For example, the fitting of models to data, called calibration, history matching, and data assimilation, are all synonymous with parameter estimation. However, the terminology differs from field to field. Statistical models are currently used in various fields of business and science. Therefore, it is a course in statistical thinking via a data-oriented approach. This course will provide you with hands-on experience to promote the use of statistical thinking and techniques to apply them to make educated decisions whenever there is variation in business data. First, so that they can lead others to apply statistical thinking in day to day activities and secondly, to apply the concept for the purpose of continuous improvement. Managers need to understand variation for two key reasons. Because practitioners of the statistical analysis often address particular applied decision problems, methods developments is consequently motivated by the search to a better decision making under uncertainties.ĭecision making process under uncertainty is largely based on application of statistical data analysis for probabilistic risk assessment of your decision. ![]() Warranties: Statistical Planning and Analysisĭirectional (i.e., circular) Data Analysisĭevelopments in the field of statistical data analysis often parallel or follow advancements in other fields to which statistical methods are fruitfully applied. Kinds of Lies: Lies, Damned Lies and Statistics Software Engineering by Project ManagementĬhi-Square Analysis for Categorical Grouped DataĬohen's Kappa: Measures of Data Consistency What is Intelligent Numerical Computation? Statistical Data Analysis in Criminal Justice Tchebysheff Inequality and Its Improvementsįrechet Bounds for Dependent Random Variables Saturated Model & Saturated Log LikelihoodĬluster Analysis for Correlated Variables Spearman's Correlation, and Kendall's tau ApplicationĪntedependent Modeling for Repeated MeasurementsĬredit Scoring: Consumer Credit Assessment Semiparametric and Non-parametric Modeling How to determine if Two Regression Lines Are Parallel? Statistical Instrument, Grab Sampling, and Passive Sampling TechniquesĪccuracy, Precision, Robustness, and Quality Interactions in ANOVA and Regression Analysis What is the Benford's Law? What About the Zipf's Law? The Meaning and Interpretation of P-values (what the data say?) Problems with Stepwise Variable SelectionĪn Alternative Approach for Estimating a Regression Line Visualization of Statistics: Analytic-Geometry & Statistics What is Statistical Data Analysis? Data are not Information!ĭata Processing: Coding, Typing, and Editing Why Is Every Thing Priced One Penny Off the Dollar?Ī Short History of Probability and Statisticsĭifferent Schools of Thought in Statisticsīayesian, Frequentist, and Classical Methods Weibull, Extreme value, t distributions. " parameter" or " probability" If the first appearance of the word/phrase is not what you are looking for, try F ind Next.īinomial, Multinomial, Hypergeometric, Geometric, Pascal, Negative Binomial, Poisson, Normal, Gamma, Exponential, Beta, Uniform, Log-normal, Rayleigh, Cauchy, Chi-square, Enter a word or phrase in the dialogue box, e.g. To search the site, try Edit | Find in page. Questionnaire Design and Surveys Sampling.Time Series Analysis and Business Forecasting. ![]()
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