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What is meant by statistics?

Updated: 4/28/2022
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Sugapriya

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15y ago

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satistics is knothing but, sampling character is called as statistics By P.Sugapriya paranjothi

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Q: What is meant by statistics?
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What is meant by statistics and their general concepts?

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Compare and contrast descriptive statistics and inferential statistics?

Descriptive statistics are meant to describe the situation such as the average or the range. Inferential statistics is used to differentiate between a couple of groups.


Explain what is meant by Terms of Trade and why it is an important economic statistics?

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What is meant by online statistics course?

An online statistics course is a course in statistics that is taught online via a college message board and assignments or pre-recorded video lecture.


What is meant by business statistics explain in details?

Business statistics are quantitative measures that help managers make better decisions. Managers use statistics to make decisions about products and employees.


The definition of education statistics?

Educational Statistics is defined as the study of the collection, organization, analysis, interpretation, and presentation of data specifically meant for the education sector.


In statistics what is meant by individuals?

Individuals are the objects described by a set of data. Individuals may be people, but they may also be animals or things.


What is hld in baseball statistics?

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What is the interval notation of x equals 0?

Ammuming that you meant to post this in statistics, if x=0 it denotes an empty set. This can be shown by a 0 with a line through it.


What are the main branches of statistics?

The two main branches of statistics is Descriptive statistics and inferential statistics.


What is meant by distrust of statistics?

It is a general belief that "statistics can prove anything." This statement is partly true and false. It is false because mere statistics should not be taken for granted without proper verification. It is true because statistics is often used by unscrupulous people to achieve their personal ends. This results in loss of faith or confidence on statistics or in causing distrust of statistics. Distrust of statistics literally means lack of trust in statistical data, statistical analysis and the conclusions derived from it. We often hear statements like. (i). Statistics is an unreliable science (ii). Statistics are lies of the first order. (iii). There are three type of lies-lies, damned lies and statistics. (iv). Figures do not lie, liars figure. These are expressions of distrust in statistics. These views of statistics stem from the misuse of statistics by the interested parties.Publicity, advertisers of various products, Governments and other organizations are trying to promote their sectional interest using statistics and statistical methods. This causes distrust of statistics. Some of the important reasons of distrust in statistics are the following: (a) Facts based on figures are more convincing. But these figures can be manipulated according to one's wishes. This misguides public causing distrust in statistics. (b) Sometimes statistical analyses are misinterpreted causing distrust in statistics. Supposing the mortality rates of patients are more in Indian hospitals. From this one may wrongly conclude that it is safer to treat the patients at home. This type of misinterpretation also causes distrust in statistics. Statistics are useful tools. One uses them according to his knowledge and experience. Use of statistics makes a statement more convincing. But its misuse causes distrust. So it is necessary that people should be adequately prepared to know the reality or to shift the truth from untruth, good statistics from bad statistics. WI. King has rightly observed "statistics are like clay of which you can make a 'God' or a 'Devil' as you please."


Types of statistics?

There are two types of statistics. One is called descriptive statistics and the other is inferential statistics. Descriptive statistics is when you use numbers. Inferential statistics is when you draw conclusions or make predictions.