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9781645464433- 5ccbee8544f5b96f587d6258 APPLYING STATISTICAL KNOWLEDGE IN DATA DRIVEN STRATEGIES AND DECISION MAKING https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/ms.products/5ccbee8544f5b96f587d6258/images/5ccbee8544f5b96f587d6259/5ccbee8944f5b96f587d62af/5ccbee8944f5b96f587d62af.jpg This book adopts a practical approach in teaching the application of
statistical knowledge in data-driven strategies and decision making.
Readers of statistical books have long been faced with the problem of
learning statistical concepts without knowing how to effectively apply them
in real life issues faced in the industries. This new approach of
demonstrating statistical concepts with real industry problems leads to
better understanding and a total appreciation of these concepts as to how
they can effectively help in making decisions. This book contains key
statistical concepts like the test of significance which is very relevant
to test assumptions made during decision making within the management
circle. Other concepts such as correlation for checking relationships and
regression for predictions are included with over 70 real industry examples
to demonstrate their use. The book contains a dedicated chapter which shows
how real industry researches are carried out and reported, and how these
findings are relevant to strategy development and decision making.
9781645464433-
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Notion Press
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APPLYING STATISTICAL KNOWLEDGE IN DATA DRIVEN STRATEGIES AND DECISION MAKING

APPLYING STATISTICAL KNOWLEDGE IN DATA DRIVEN STRATEGIES AND DECISION MAKING

Author: TERRY HENSHAW

Brand: Notion Press

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Description of product

This book adopts a practical approach in teaching the application of
statistical knowledge in data-driven strategies and decision making.
Readers of statistical books have long been faced with the problem of
learning statistical concepts without knowing how to effectively apply them
in real life issues faced in the industries. This new approach of
demonstrating statistical concepts with real industry problems leads to
better understanding and a total appreciation of these concepts as to how
they can effectively help in making decisions. This book contains key
statistical concepts like the test of significance which is very relevant
to test assumptions made during decision making within the management
circle. Other concepts such as correlation for checking relationships and
regression for predictions are included with over 70 real industry examples
to demonstrate their use. The book contains a dedicated chapter which shows
how real industry researches are carried out and reported, and how these
findings are relevant to strategy development and decision making.

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