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- Statistik - Weiterführende Kenntnisse

- Confidence interval
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- Markov Chain Monte Carlo
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Data Science

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Statistical analysis

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General statistical analysis, econometric analyses, cross-section, panel data analysis, time series, estimation, forecasting

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Informations, tutorials, standard statistical analyses, hypothesis testing, AMOS, SPSS, Excel, SmartPLS, PLS-graph

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Scatter diagrams, data distributions, frequency tables, study design, probability, normal distributions

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Categorical and quantitative data, data distributions, study design, probability, random variables, sampling distributions, confidence intervals, significance tests (hypothesis testing), inference comparing two groups or populations, chi-square tests, regression

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Introduction to statistics, descriptive statistics, correlation and linear regression, introduction to probability, probability distributions

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Exploratory data analysis, distributions, probability mass functions, cumulative distribution functions, modeling, probability density functions, hypothesis testing

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Probability, inference, Bayesian, regressions

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methods comprise a class of algorithms for sampling from a probability distribution.

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Type of interval estimate, computed from the statistics of the observed data, that might contain the true value of an unknown population parameter

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the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution

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In this model the output variable depends linearly on its own previous values and on a stochastic term

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Quantify the amount of variation or dispersion of a set of data values

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Exploratory data analysis, distributions, probability mass functions, cumulative distribution functions, modeling, probability density functions, hypothesis testing

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Informations, tutorials, standard statistical analyses, hypothesis testing, AMOS, SPSS, Excel, SmartPLS, PLS-graph

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Probability, inference, Bayesian, regressions

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Scatter diagrams, data distributions, frequency tables, study design, probability, normal distributions

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Categorical and quantitative data, data distributions, study design, probability, random variables, sampling distributions, confidence intervals, significance tests (hypothesis testing), inference comparing two groups or populations, chi-square tests, regression

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Introduction to statistics, descriptive statistics, correlation and linear regression, introduction to probability, probability distributions

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Statistical analysis

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General statistical analysis, econometric analyses, cross-section, panel data analysis, time series, estimation, forecasting

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