## Basic statistical ideas for managers, Volume 1Designed for the one-term MBA or undergraduate introduction to business statistics course, this text places emphasis on data and the common techniques and methods used to analyze them in business. It introduces concepts using practical examples and illustrates them with computer output from MINITAB, Excel, and JMP. The book integrates a business decision-making case into each chapter for motivational and illustration purposes and includes a business case assignment at the end of each chapter. These cases revolve around realistic business settings with realistic data sets that put students in the role of managers who need to make business decisions based on data. Review problems requiring students to use previously learned concepts also appear throughout to promote understanding of the relationships among statistical methods. |

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0.000 Residual Error Analysis of Variance ANOVA approximation assume assumption average bar chart binomial box plot Calculate chapter Coef SE Coef coefficient column computer package confidence interval control chart correlation cost customers data of Exercise difference discrete random variable Durbin-Watson statistic Empirical Rule employees estimate example expected value F P Regression Find the probability frequency histogram independent variables indicate interaction manager manufacturer Mean StDev measure median methods multiple regression normal distribution null hypothesis obtained outliers p-value percentage Poisson population mean predictive value Predictor Coef probability distribution problem production Py(y R-Sq R-Sq(adj random sample random variable randomly Refer to Exercise Regression Analysis regression equation regression model research hypothesis sample mean scatterplot scores shoplifting shown in Figure skewness SOLUTION Source DF SS square standard error StDev SE Mean stem-and-leaf summary Suppose tion Total Variance Source DF variation versus yields