How Statistics Is Important For The Quality Of Data

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Statistics is well-defined as a division of mathematics and is most often used to explain, analyze, and summarize as well as interpret what we perceive- in order to make sense or meaning of our interpretations. Every day we encounter statistics that originate from various forms and behaviors. Which means that to in order for all of the information gathered to make sense, there would realistically be no need for the use of statistics. Conversely, due to its focus and pragmatic on applications, statistics is characteristically considered a distinctive mathematical science rather than a division of mathematics (Chance et al, 2005). Therefore, some measures a statistician utilizes are less mathematical; for example, ensuring data collection is conceded in a manner that yields valid conclusions, recording results, or coding data in behaviors understandable to the users. Statistics has been recognized to improve the quality of data by forming specific survey samples and experiment strategies. It also offers tools used to forecast the use of data as well as statistical models. It is appropriate in many academic arenas that consist of business, social and natural sciences, and government, to list a few. Descriptive statistics are wholly used to define the sample under study; they are used essentially to describe the fundamental characteristics of a prearranged data. Descriptive statistics offer modest summaries concerning the measures as well as the samples. When applied in
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