{"product_id":"9781484201848","title":"Better Business Decisions from Data: Statistical Analysis for Professional Success","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003eEveryone 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? \u003cem\u003eBetter Business Decisions from Data: Statistical Analysis for Professional Success\u003c\/em\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAuthor 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.\u003c\/p\u003e\u003cp\u003eWith 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.\u003c\/p\u003e\u003cp\u003eAmong other things, this book covers:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHow statistics can help you assess the probability of a successful outcome\u003c\/li\u003e\n\u003cli\u003eHow data is collected, sampled, and best interpreted\u003c\/li\u003e\n\u003cli\u003eHow to make effective forecasts based on the data at hand\u003c\/li\u003e\n\u003cli\u003eHow to spot the misuse or abuse of statistical evidence in advertisements, reports, and proposals\u003c\/li\u003e\n\u003cli\u003eHow to commission a statistical analysis\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eArranged in seven parts—Uncertainties, Data, Samples, Comparisons, Relationships, Forecasts, and Big Data—\u003cem\u003eBetter Business Decisions from Data\u003c\/em\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eWhat you’ll learn\u003cul\u003e\n\u003cli\u003eHow raw data are processed to obtain information, with known reliability, for the basis of decision making.\u003c\/li\u003e\n\u003cli\u003eWhat a statistical analysis can--and can't--do.\u003c\/li\u003e\n\u003cli\u003eWhy certainty is illusive and how we can be misled by statistical results.\u003c\/li\u003e\n\u003cli\u003eThe basics of probability, sampling, reliability, regression, distribution and other statistical techniques essential for decision making in all aspects of business.\u003c\/li\u003e\n\u003cli\u003eHow to commission data gathering and processing in advance of big decisions\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eThe primary audience includes managers and professionals in business 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.\u003c\/p\u003eTable of Contents\u003cul\u003e\n\u003cli\u003eThe Scarcity of Certainty\u003c\/li\u003e\n\u003cli\u003eSources of Uncertainty\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eProbability\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eSampling\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eThe Raw Data\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eDescriptive Data\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eNumerical Data\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eLevels of Significance\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eGeneral Procedure for Comparisons\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eComparisons with Numerical Data\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eComparisons with Descriptive Data\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eTypes of Error\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eCause and Effect\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eRelationships with Numerical Data\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eRelationships with Descriptive Data\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eMultivariate Data\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eExtrapolation\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eForecasting from Known Distributions\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eTime Series\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eControl Charts\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eReliability\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eData Mining\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003ePredictive Analytics\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eGetting Involved with Big Data\u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eConcerns with Big DataReferences and Further Reading\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Apress","offers":[{"title":"Default Title","offer_id":47126599794928,"sku":"9781484201848","price":27.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781484201848_p0.jpg?v=1763631934","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781484201848","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}