Score higher in your business statistics course? Easy. Business statistics is a common course for business majors and MBA candidates. It examines common data sets and the proper way to use such information when conducting research and producing informational reports such as profit and loss statements, customer satisfaction surveys, and peer comparisons. Business Statistics For Dummies tracks to a typical business statistics course offered at the undergraduate and graduate levels and provides clear, practical explanations of business statistical ideas, techniques, formulas, and calculations, with lots of examples that shows you how these concepts apply to the world of global business and economics. Shows you how to use statistical data to get an informed and unbiased picture of the market Serves as an excellent supplement to classroom learning Helps you score your highest in your Business Statistics course If you're studying business at the university level or you're a professional looking for a desk reference on this complicated topic, Business Statistics For Dummies has you covered.
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Learn to: Grasp the core concepts and principles of business statistics Make sense of problems and processes common to the world of global business and economics Score your highest in your business statistics course Make sound business decisions and produce powerful reports Business Statistics For Dummies tracks to a typical business statistics course and offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations. Many real-life examples show how these concepts apply to the world of global business and economics. If you're studying business at the university level or you're a professional looking for a desk reference on this complicated topic, Business Statistics For Dummies has you covered. Statistics 101 -- get an introduction to probability, sampling techniques and sampling distributions, and drawing conclusions from data Pictures tell the story -- find out how to use several types of charts and graphs to visualize the most important properties of a data set Take the pain out of probability -- discover the lowdown on generating outcomes, types of probabilities, and rules of probability Have confidence -- draw conclusions from samples with the confidence interval, testing hypotheses about population means, analysis of variance, and testing hypotheses about population variances Open the book and find: The use of statistics in daily life Sampling techniques and sampling distributions Methods for finding the mean of a data set Binomial, geometric, and Poisson distributions The scoop on t-distribution Regression analysis and forecasting Errors that arise in statistical analysis Key formulas and statistical tables