Statistics New Empiricism And Society In The Era Of Big Data Springerbriefs In

Statistics has always played a crucial role in understanding society and making informed decisions. With the rise of big data, statistical analysis has become even more essential. The book, "Statistics New Empiricism And Society In The Era Of Big Data Springerbriefs In," explores the relationship between statistics, empiricism, and society in the era of big data.

What is Big Data?

Big data refers to the vast amount of information that is generated from various sources such as social media, sensors, online transactions, and more. It has become increasingly important in today's world as it provides valuable insights and patterns that can help predict trends and make informed decisions.

The Role of Statistics

Statistics is a fundamental tool in analyzing big data. It helps in making sense of the overwhelming amount of information by organizing and summarizing the data through various statistical techniques. Statistical analysis allows researchers and decision-makers to draw meaningful s and make predictions based on the available data.

Statistics, New Empiricism and Society in the Era of Big Data (SpringerBriefs in Statistics)

by Giuseppe Arbia(1st ed. 2021 Edition, Kindle Edition)

4.5 out of 5

Language	:	English
File size	:	1745 KB
Screen Reader	:	Supported
Print length	:	65 pages

FREE

Empiricism and Society

Empiricism is the belief that knowledge comes from experience and evidence. It emphasizes the importance of observation and experimentation in understanding the world. In the context of big data, empiricism plays a vital role in extracting meaningful insights and patterns from the data.

Society, on the other hand, is greatly influenced by the data-driven decisions made using statistical analysis. From healthcare to business, education to politics, statistics shapes our society in various ways. It helps in identifying social trends, understanding consumer behavior, and making policies based on data-derived evidence.

The Impact of Big Data on Society

The era of big data has transformed the way society functions. With the availability of massive amounts of data, organizations and governments can optimize their operations, improve services, and enhance decision-making processes. For example, in healthcare, big data analysis has led to the development of personalized treatments and improved patient outcomes.

The use of big data and statistical analysis has also given rise to concerns regarding privacy and ethics. As more data is collected and analyzed, questions about data protection and the responsible use of data arise. It is essential to strike a balance between the benefits of big data analysis and the protection of individual privacy rights.

The book "Statistics New Empiricism And Society In The Era Of Big Data Springerbriefs In" explores the intersection of statistics, empiricism, and society in the age of big data. It highlights the importance of statistical analysis in understanding and shaping our society. As we continue to generate massive amounts of data, statistical analysis will play a crucial role in making informed decisions and improving various aspects of our lives.

"Statistics New Empiricism And Society In The Era Of Big Data Springerbriefs In" is a must-read for anyone interested in understanding the impact of big data and the role of statistics in society.

Statistics, New Empiricism and Society in the Era of Big Data (SpringerBriefs in Statistics)

by Giuseppe Arbia(1st ed. 2021 Edition, Kindle Edition)

4.5 out of 5

Language	:	English
File size	:	1745 KB
Screen Reader	:	Supported
Print length	:	65 pages

FREE

This book reveals the myriad aspects of Big Data collection and analysis, by defining and clarifying the meaning of Big Data and its unique characteristics in a non-technical and easy-to-follow way. Moreover, it discusses critical issues and problems related to the Big Data revolution and their implications for both Statistics as a discipline and for our everyday lives.

The author identifies various problems and limitations in the quantitative analysis of Big Data, with regard to e.g. its volume, velocity and variety, as well as its reliability and veridicity. Dedicated chapters focus on the epistemological aspects of data-based knowledge and ethical aspects of the use of Big Data, while also addressing paradigmatic cases such as Cambridge Analytica and the use of data from social networks to influence election outcomes.