


Simulation models are used in many fields, such as finance, insurance, medicine, oil and gas exploration, accounting or sales forecasting. The Monte Carlo simulations in XLSTAT allow you to define the distributions and then, through simulations, to obtain an empirical distribution of the input and output variables and the corresponding statistics.

If some "result" variables depend on these "distributed" variables via known or assumed formulas, then the "result" variables will also have a distribution. Simulation models allow us to obtain information such as mean, median, or confidence intervals about variables that do not have an exact value, but for which we either know or assume a distribution. When you download and install XLSTAT, the version will appear automatically in your MS Excel interface if you are not using a trial version of XLSTAT or if your XLSTAT license key has expired.This tutorial will help you set up and run a simple simulation model in Excel using the XLSTAT statistical software.

2-sample non-parametric tests (Wilcoxon’s test, sign test, Mann-Whitney’s test), including asymptotic, Monte Carlo and exact p-value computations.Paired and independent 2-sample t-tests and z-tests, including one-tailed and two-tailed alternative hypotheses.Covariance and correlation analysis including Pearson, Spearman and Kendall correlation coefficients, correlation maps, scatter plot matrices and many more.Descriptive statistics including several charts (pie charts, bar charts, box plots…).The free edition of XLSTAT includes 14 essential features: Any person will have unlimited access to 14 essential data analysis and statistical features directly in Excel for free. To celebrate XLSTAT's 20th anniversary, Addinsoft announces the release of a Free version of XLSTAT.
