Stan książek
Nasze książki są dokładnie sprawdzone i jasno określamy stan każdej z nich.
Nowa
Książka nowa.
Używany - jak nowa
Niezauważalne lub prawie niezauważalne ślady używania. Książkę ciężko odróżnić od nowej pozycji.
Używany - dobry
Normalne ślady używania wynikające z kartkowania podczas czytania, brak większych uszkodzeń lub zagięć.
Używany - widoczne ślady użytkowania
zagięte rogi, przyniszczona okładka, książka posiada wszystkie strony.
Even You Can Learn Statistics and Analytics
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Now completely revised to incorporate developments in "big data" analytics, the third edition of "Even You Can Learn Statistics and Analytics" offers a current and practical guide to understanding statistics and analytics for anyone interested. This edition walks you through statistical techniques vital for various fields such as finance, marketing, quality control, science, and social science. With its straightforward, jargon-free language, it clarifies each technique, bolstered by realistic examples and hands-on problem-solving practice. Notably, this edition includes more practical examples than previous ones and aligns with the latest Microsoft Excel updates. You'll have access to downloadable practice materials, including templates, data sets, and complete solutions that are ready for use in diverse environments such as business and education. You'll discover how to apply these methods effectively: analyzing vast data collections, creating and interpreting statistical charts via Excel or OpenOffice.org Calc 3, and utilizing essential descriptive statistics like mean, median, mode, standard deviation, and more. Moreover, you’ll delve into probability and probability distributions, engage with sampling distributions and confidence intervals, and get comfortable with hypothesis testing using various techniques including Z, t, chi-square, and ANOVA. Additionally, the guide simplifies complex concepts such as regression analysis and modeling, enabling you to develop models incorporating multiple independent variables. This resource also targets specific statistical techniques beneficial for quality improvement initiatives, including Six Sigma programs. If math isn't your forte, worry not—this book makes it more accessible than you might expect. Yet, for those who savor mathematics, optional "Equation Blackboard" sections reveal the underlying mathematical principles of statistics. Might you have doubted your ability to grasp statistics before? This edition assures you that learning is not only possible but achievable!
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WIĘCEJ O SKALI
Now completely revised to incorporate developments in "big data" analytics, the third edition of "Even You Can Learn Statistics and Analytics" offers a current and practical guide to understanding statistics and analytics for anyone interested. This edition walks you through statistical techniques vital for various fields such as finance, marketing, quality control, science, and social science. With its straightforward, jargon-free language, it clarifies each technique, bolstered by realistic examples and hands-on problem-solving practice. Notably, this edition includes more practical examples than previous ones and aligns with the latest Microsoft Excel updates. You'll have access to downloadable practice materials, including templates, data sets, and complete solutions that are ready for use in diverse environments such as business and education. You'll discover how to apply these methods effectively: analyzing vast data collections, creating and interpreting statistical charts via Excel or OpenOffice.org Calc 3, and utilizing essential descriptive statistics like mean, median, mode, standard deviation, and more. Moreover, you’ll delve into probability and probability distributions, engage with sampling distributions and confidence intervals, and get comfortable with hypothesis testing using various techniques including Z, t, chi-square, and ANOVA. Additionally, the guide simplifies complex concepts such as regression analysis and modeling, enabling you to develop models incorporating multiple independent variables. This resource also targets specific statistical techniques beneficial for quality improvement initiatives, including Six Sigma programs. If math isn't your forte, worry not—this book makes it more accessible than you might expect. Yet, for those who savor mathematics, optional "Equation Blackboard" sections reveal the underlying mathematical principles of statistics. Might you have doubted your ability to grasp statistics before? This edition assures you that learning is not only possible but achievable!
