Practical Business Statistics

Introduction: defining the role of statistics in business; data structure classifying the various types of data sets. histograms -looking at the distribution of the data; landmark summaries -interpreting typical values and percentiles; variability - dealing with diversity; probability - understanding random situations; random variables - working with uncertain numbers; random sampling - planning ahead for data gathering; confidence intervals - admitting that estimates are not exact; hypothesis testing - deciding between reality and coincidence; correlation and regression - measuring and predicting relationships; multiple regression - predicting one factor from several others; report writing - communicating the results of multiple regression; time series - understanding changes over time; ANOVA -testing for differences among many samples, and much more; non-parametrics - testing with ordinal data or non-normal distributions; Chi-squared analysis - testing for patterns in qualitative data; quality control - recognizing and managing variation.