Better Business Decisions from Data (e-book) (used book) | bookbook.eu

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reports, requests, and advertisements, among others, to support assertions, opinions, and theories. Unless you're a trained statistician, it can be bewildering. What are the numbers really saying or not saying?Better Business Decisions from Data: Statistical Analysis for Professional Success provides the answers to these questions and more. It will show you how to use statistical data to improve small, every-day management judgments as well as major business decisions with potentially serious consequences.

Kenny--with deep experience in industry--believes that "while the methods of statistics can be complicated, the meaning of statistics is not." He first outlines the ways in which we are frequently misled by statistical results, either because of our lack of understanding or because we are being misled intentionally. Then he offers sound approaches for understanding and assessing statistical data to make excellent decisions. Kenny assumes no prior knowledge of statistical techniques; he explains concepts simply and shows how the tools are used in various business situationsa new level of importance. Kenny lays a foundation for understanding the importance and value of Big Data, and then he shows how mined data can help you see your business in a new light and uncover opportunityAmong other things, this book covers: probability of a successful outcominterpretethe data at hanstatistical evidence in advertisements, reports, and proposalHow to commission a statistical analysisparts--Uncertainties, Data, Samples, Comparisons, Relationships, Forecasts, and Big DataBetter Business Decisions from Data is a guide for busy people in general management, finance, marketing, operations, and other business disciplines who run across statistics on a daily or weekly basis. You'll return to it again and again as new challenges emerge, making better decisions each time that boost your organization's fortunes--as well as your own

What you'll learn raw data are processed to obtain information, with known reliability, for the basis of decision makingWhat a statistical analysis can--and can't--do.certainty is illusive and how we can be misled by statistical resultsbasics of probability, sampling, reliability, regression, distribution and other statistical techniques essential for decision making in all aspects of businessto commission data gathering and processing in advance of big decision Who this book is for

and industry who need to understand statistics to make or approve decisions, or to commission statistical investigations and assess their results. It's also for those who want to understand how statistics can be used to mislead or shroud the true facts. A secondary audience consists of students of disciplines that require some knowledge of statistics--economics, finance, political science, physics, biology, and more--as well as general readers who simply wish to have a more informed view of the daily dose of statistics offered up by news organizations, advocacy groups, and the government, among others Table of Contents The Scarcity of CertaintySources of Uncertainty

Probability

Sampling

The Raw Data

Descriptive Data

Numerical Data

Levels of Significance

General Procedure for Comparisons

Comparisons with Numerical Data

Comparisons with Descriptive Data

Types of Error

Cause and Effect

Relationships with Numerical Data

Relationships with Descriptive Data

Multivariate Data

Extrapolation

Forecasting from Known Distributions

Time Series

Control Charts

Reliability

Data Mining

Predictive Analytics

Getting Involved with Big Data

Concerns with Big DataReferences and Further Reading"