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      1. Ekonomi och Ledarskap
      2. Företagsekonomi

      Better Business Decisions from Data

      Statistical Analysis for Professional Success

      AvPeter Kenny

      Häftad, Engelska, 2014

      366 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Fler format och utgåvor

      E-bok

      488 kr

      Beskrivning

      Everyone encounters statistics on a daily basis. They are used in proposals, 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.Author Peter 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 situations.With the arrival of Big Data, statistical processing has taken on a 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 opportunity.Among other things, this book covers:How statistics can help you assess the probability of a successful outcomeHow data is collected, sampled, and best interpretedHow to make effective forecasts based on the data at handHow to spot the misuse or abuse of statistical evidence in advertisements, reports, and proposalsHow to commission a statistical analysisArranged in seven parts—Uncertainties, Data, Samples, Comparisons, Relationships, Forecasts, and Big Data—Better 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.

      Produktinformation

      • Utgivningsdatum:2014-06-28
      • Mått:178 x 254 x 16 mm
      • Vikt:421 g
      • Format:Häftad
      • Språk:Engelska
      • Antal sidor:288
      • Upplaga:14001
      • Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
      • ISBN:9781484201855

      Utforska kategorier

      • Företagsekonomi inom Ekonomi och Ledarskap

      Mer om författaren

      Peter Kenny, educated at Birmingham and Oxford Universities, was employed by the National Coal Board (later British Coal), first as a research scientist then as manager of various engineering departments. At the time of his early retirement, he was British Coal’s Reliability Manager, reporting to the Chief Engineer. Since then, he has taught mathematics and science subjects in colleges of further education, and as a private tutor. He is a Fellow of the Institute of Physics, Member of the Institute of Materials, a Chartered Physicist and a Chartered Engineer. He has published many technical papers and general interest articles. He holds the LAMDA Diploma in public speaking, which is also the subject of his book A Handbook of Public Speaking for Scientist and Engineers.

      Innehållsförteckning

      • * The Scarcity of Certainty* Sources 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
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