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Statistics for Business and Economics
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Data and statistics; descriptive statistics I - tabular and graphical methods; descriptive statistics II - numerical methods; introduction to probability; discrete probability and distributions; continuous probability distributions; sampling and sampling distributions; interval estimation; hypothesis testing; statistical inference about means and proportions with two populations; inferences about population variances; tests of goodness of fit and independence; analysis of variance and experimental design; simple linear regression; multiple regression; regress analysis - model building; index numbers; forecasting; nonparametric methods; statistical methods for quality control; sample survey.

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