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9781683925927 Add to Cart Academic Inspection Copy

Data Analysis for Business Decision Making

A Laboratory Notebook
  • ISBN-13: 9781683925927
  • Publisher: MERCURY LEARNING
    Imprint: MERCURY LEARNING
  • Author: Fortino, Andres
  • Price: AUD $75.00
  • Stock: 2 in stock
  • Availability: Order will be despatched as soon as possible.
  • Local release date: 22/04/2021
  • Format: Paperback (279.00mm X 216.00mm) 200 pages Weight: 480g
  • Categories: Economic statistics [KCHS]Management decision making [KJMD]Data mining [UNF]
Description
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Contents
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This laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support business decisions. Most of the case studies use Excel,today's most common analysis tool. They range from the most basic descriptive analytical techniques to more advanced techniques such as linear regression and forecasting. Advanced projects cover inferential statistics for continuous variables (t-Test) and categorical variables (chi-square), as well as A/B testing. The manual ends with techniques to deal with the analysis of text data and tools to manage the analysis of large data sets (Big Data) using Excel. Includes companion files with solution spreadsheets, sample files, data sets, etc. from the book. Features: Teaches the statistical analysis skills needed to support business decisions Provides projects ranging from the most basic descriptive analytical techniques to more advanced techniques such as linear regression, forecasting, inferential statistics, and analyzing big data sets Includes companion files with solution spreadsheets, sample files, data sets, etc. used in the book's case studies
1: Shaping and Cleaning Data 2: Installing the Analysis ToolPak 3: Descriptive Statistics 4: Histograms. 5: Pareto Analysis 6: Scatter Plots 7: Correlation and Linear Regression 8: Multivariate Regression 9: Forecasting and Time Series 10: Inferential Statistics 11: Contingency Analysis 12: A/B Testing 13: Text Analytics 14: Analyzing Big Data Sets 15: Techniques for Business Questions Index
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