Is a science that studies the collection organization analysis and interpretation of data?

Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data.

In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal". Statistics deals with every aspect of data, including the planning of data collection in terms of the design of surveys and experiments.

Two main statistical methods are used in data analysis: descriptive statistics, which summarize data from a sample using indexes such as the mean or standard deviation, and inferential statistics, which draw conclusions from data that are subject to random variation (e.g., observational errors, sampling variation).[5] Descriptive statistics are most often concerned with two sets of properties of a distribution (sample or population): central tendency (or location) seeks to characterize the distribution's central or typical value, while dispersion (or variability) characterizes the extent to which members of the distribution depart from its center and each other. Inferences on mathematical statistics are made under the framework of probability theory, which deals with the analysis of random phenomena.

A standard statistical procedure involves the collection of data leading to test of the relationship between two statistical data sets, or a data set and synthetic data drawn from an idealized model. A hypothesis is proposed for the statistical relationship between the two data sets, and this is compared as an alternative to an idealized null hypothesis of no relationship between two data sets. Rejecting or disproving the null hypothesis is done using statistical tests that quantify the sense in which the null can be proven false, given the data that are used in the test. Working from a null hypothesis, two basic forms of error are recognized: Type I errors (null hypothesis is falsely rejected giving a "false positive") and Type II errors (null hypothesis fails to be rejected and an actual relationship between populations is missed giving a "false negative").[6] Multiple problems have come to be associated with this framework, ranging from obtaining a sufficient sample size to specifying an adequate null hypothesis. [5]

Measurement processes that generate statistical data are also subject to error. Many of these errors are classified as random (noise) or systematic (bias), but other types of errors (e.g., blunder, such as when an analyst reports incorrect units) can also occur. The presence of missing data or censoring may result in biased estimates and specific techniques have been developed to address these problems.

• DOSEN: Satria Adi Pradana, M.Pd Dosen

The science which deals with the methods of collecting, classifying, presenting, comparing and interpreting numerical data is called.

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1. statistics
2. mathematics
3. geometry
4. probability

Answer (Detailed Solution Below)

Option 1 : statistics

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Statistics: In the singular sense, Statistics refers to what is called statistical methods which means the science which deals with the techniques for collection, classifying, presentation, analysis, and interpretation of statistical/numerical data information. In simple language, it means the subject of Statistics like any other subject such as Mathematics or Economics. 

• This definition lays emphasis on five important aspects, which in fact, constitute the very scope of the subject called Statistics or Statistical Methods. These are:
• Collection of Data: In any statistical inquiry, the collection of data is the first basic step. They form the foundation of statistical analysis, and therefore utmost care should be taken in collecting data in Primary and Secondary form.
• Classification of Data: It follows editing. It involves arranging data according to some common characteristics.
• Presentation of Data: Presented the data in the form of diagrams and graphs to facilitate the understanding of various trends as well as the process of comparison of various situations.
• Analysis of Data: It is the most important step in any statistical inquiry. A major portion of this course in Statistics is devoted to the methods used for analyzing the collected data to derive some policy conclusions.
• Interpretation of Data: It is the last but very crucial stage of a statistical inquiry or investigation. It is a job in itself that requires a high degree of aptitude, skill, and experience.

Hence, we conclude that the science which deals with the methods of collecting, classifying, presenting, comparing, and interpreting numerical data is called Statistics.

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What is the study of the collection Organization Analysis and interpretation of data?

Which studies the collection analysis interpretation or presentation of data?

Is the branch of science that deals with the collection organization analysis interpretation and presentation of data?