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The answer is generally no. I note there is no hard and fast definition of the field of statistics. The definition of the field or discipline of statistics is not to reduce the number of values in the set of collected data. An objective of statistics is to characterize or add meaning to the collected data, through calculated values of the data. In this sense, statistics summarizes the data.

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Q: Statistics may be regarded as the study of the reduction of the data?
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Statistics may be regarded as the study of the method of the reduction of the data?

Statistics provides uni-variate/multivariate techniques for data reduction. When a data-set is considered for study, it might begin with a lot of variables that influence or have significant information about the study variable (dependent variable). So it becomes difficult for the researcher to analyse every variable. In such cases, techniques like principal component analysis, discriminant analysis, factor analysis etc., are used to reduce the dimension of the data in terms of the number of factors (variables) that significantly explains the study variable. The factors that shows more variance is retained and others are dropped from the analysis. The primary aim of such techniques is to get as much of information as possible about the study variable from a limited number of factors.


What does statistics mean in math?

Statistics is the study of collecting , organizing , and interpreting data!


The study of collecting analyzing and presenting data?

Statistics.


What are statistics in math?

"Statistics is the study of the collection, organization, analysis, and interpretation of data." (Wikipedia)


What it is the difference between statistic and statistics?

Statistic is singular; statistics is plural. Statistic is a single data point. Statistics is the study of collections of related data points.


What can statistics do?

In short, statistics is basically the study of data. It includes examining both the process of obtaining data and understanding the data. Statistics is present everywhere. Every time a poll is conducted or a study done and numbers reported, statistics are at work. Probability is also a branch of statistics, determining how likely a given event is to occur.


What does statistics mean in english?

Statistics meansThe practice and science of collecting and analysing numerical data in large quantities especially for the purpose of inferring proportions in a whole from those in a representative sample.A fact or a piece of data from a large study of large quantity of numerical data.An event or person regarded as no more than a piece of data.


What the difference between statistics as numerical facts and statistics as a discipline or field of study?

Statistics as a numerical facts are data collected and organised numerically, whilst Statistic as a discipline or field of study which involves collecting, organizing, summarizing and presenting of data.


what is data scienceData science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data?

Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.


What is definition of statistic?

The definition of statistics is the science of conducting studies to collect, organize, summarize, analyze and draw conclusions from data.


Branches of statistics?

The statistics methods are loosely categorised in two separate concepts. 1. descriptive Statistics 2. Inferencial Statistics Any treatment of data leading to collection presentation and summaries of numerical data is known as descriptive statistics. Making general statements from the study of particular cases, or nay treatment of data that leads to prediction or inference concerning a larger group of data, is known as inferential statistics.


What is data reduction in terms of data mining?

Data reduction in data mining refers to the process of reducing the volume of data under consideration. This can involve techniques such as feature selection, dimensionality reduction, or sampling to simplify the dataset and make it more manageable for analysis. By reducing the data, analysts can focus on the most relevant information and improve the efficiency of their data mining process.