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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Applied business research and statistics uses statistical methods to analyse data and solve real-world business problems. It covers collecting, organizing, analysing, and interpreting data for informed decision-making, process improvement, and gaining a competitive edge. This field is crucial for bridging the gap between data and business planning, leading to improved financial performance. Key applications include market research, quality control, financial analysis, and forecasting. This book will benefit businesses of all sizes, public sector entities handling large data volumes, academics involved in research, and corporate professionals needing expertise for business proposals and capital project financing. Examples highlight its versatility: retailers use market research to understand customer preferences, manufacturers improve product quality through quality control, banks assess lending risk with regression models, and marketing teams optimize campaigns.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Applied business research and statistics uses statistical methods to analyse data and solve real-world business problems. It covers collecting, organizing, analysing, and interpreting data for informed decision-making, process improvement, and gaining a competitive edge. This field is crucial for bridging the gap between data and business planning, leading to improved financial performance. Key applications include market research, quality control, financial analysis, and forecasting. This book will benefit businesses of all sizes, public sector entities handling large data volumes, academics involved in research, and corporate professionals needing expertise for business proposals and capital project financing. Examples highlight its versatility: retailers use market research to understand customer preferences, manufacturers improve product quality through quality control, banks assess lending risk with regression models, and marketing teams optimize campaigns.