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247 results found


  • Combined results 247
  • Solutions 5
  • Features 156
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  • Statistical Power for comparing correlations

    Statistical Power of correlation comparison tests XLSTAT offers a test to compare correlations. XLSTAT can calculate the power or the number of observations necessary for this test. When testing a hypothesis using a statistical test, there are several decisions to take: The null hypothesis H0 and the alternative hypothesis Ha. The statistical test to use. The type I error also known as alpha. It occurs...

  • Sample size for clinical trials

    Power and sample size analysis in clinical trials XLSTAT-Power enables you to compute the necessary sample size for a clinical trial. Three types of trials can be studied: Equivalence trials: An equivalence trial is where you want to demonstrate that a new treatment is no better or worse than an existing treatment. Superiority trials: A superiority trial is one where you want to demonstrate that one...

  • FLASH PROFILING

    WHAT IS FLASH PROFILING? Flash profiling is a sensory analysis method which combines a free profile technique (free choice of attributes) with a ranking of products for each attribute. Faced with a set of products, untrained assessors choose their own terms to describe and distinguish the main sensory differences between the different products. These same assessors then rank the products for each...

  • Surface response designs

    What is a Surface Response Design? The family of surface response design is used for modeling and analysis of problems in which a response of interest is influenced by several variables and the objective is to optimize this response. Remark: In contrast to this, screening designs aim to study the input factors, not the response value. For example, suppose that an engineer wants to find the optimal...

  • CLUSCATA

    CATA tasks are widely used nowadays. However, product perceptions often differ among assessors. A cluster analysis of the assessors may therefore be necessary. The CLUSCATA method fits into this context. Moreover, this strategy allows to put aside the assessors who do not fir any pattern of classes. CLUSCATA can be seen as an adaptation of CLUSTATIS for CATA data. Principle of CLUSCATA The objective...

  • Pareto charts

    This visualization tool, which combines both bars and a line graph, helps you identify the most common causes of a problem (e.g., disruptions in manufacturing assembly, customer complaints) to improve a process. It is often used in Root Cause Analysis. Several new options are available, such as sorting and combining causes, and changing the color of the bars when a certain cumulative percentage is...

  • XLSTAT AI Assistant

    WHAT IS THE XLSTAT AI ASSISTANT The XLSTAT AI Assistant guides you through three complementary features: intelligent data description, selection of the most appropriate statistical method for your objective, and automated interpretation of an XLSTAT analysis report. Describe my data Get an instant, intelligent overview of your dataset. Select the relevant cells in Excel and let the assistant deliver:...

  • Design of experiments for sensory discrimination tests

    Designing sensory discrimination tests in Excel with XLSTAT This tool allows you to create an experimental design in the context of sensory discrimination tests. It will allow you to generate the setting of a sensory discrimination test including triangle test, duo-trio test… Designing an experiment is a fundamental step for anyone who wants to ensure that data collected will be statistically usable...

  • ELECTRE methods

    What are the ELECTRE methods? The ELECTRE methods, whose acronym stands for ELimination and Choice Expressing REality, bring together a family of decision aid methods whose particularity is the partial aggregation based on the construction of relations of comparisons of the performances of each pair of solutions. Unlike classical optimization methods, which consist in formulating the problem in the...

  • Data sampling

    Use of data sampling Sampling is one of the fundamental data analysis and statistical techniques. Sampling aims at extracting a sample of size n from a dataset. Samples are generated to: Test an hypothesis on one sample, then test it on another; Obtain very small tables which have the properties of the original table. To meet these different situations, several methods have been proposed. XLSTAT data...

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