Managerial Data Analysis

 

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Profesori: Erika Marin, Michel Nedzela

Descriere

Data and their presentation: frequency tables, histograms. Use of software. Summarizing data: measures of location and dispersion. Basic notions in probability and probability distributions (binomial and normal). Random sampling methods, sampling distributions and central limit theorem. Confidence intervals. Hypothesis testing. Correlation and regression analysis. Curve fitting and modeling. Confidence intervals and tests in regression, use of transformations. Chi-square tests on qualitative data: goodness-of-fit and test of independence.