Statistical Techniques in Business & Economics (Eighteenth Edition, International Student Edition)
Douglas A. Lind
William G. Marchal
Samuel A. Wathen
Source: WeLibStatistical Techniques in Business and Economics introduces the main statistical methods used to describe, analyze, and interpret data for business decisions.
The book begins with basic topics such as organizing and presenting data in tables, charts, and summaries to show patterns clearly. It then explains probability concepts and probability distributions, which help in understanding chance and variation in business data.
Inferential techniques such as confidence intervals and hypothesis testing are covered to show how conclusions can be drawn from samples about larger populations. The text also presents methods for exploring relationships between variables, including correlation and regression analysis, with step‑by‑step examples. Later chapters discuss nonparametric methods, time series analysis and forecasting, quality control, and decision theory, all within business contexts.
Throughout, the focus is on understanding results, interpreting outputs from tools like Microsoft Excel and other statistical software, and connecting statistical findings to practical business problems.
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