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What Is Statistics? Describe Importance Of Statistics In Different Fields?

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James Kent Profile
James Kent answered
Your question could be interpreted in two ways. First of all, you may be enquiring as to how studying Statistics to GCSE level can benefit students. Alternatively, this could be a question about the collation of data in the education sector, and how this can enhance the development of students and schools in general.

Firstly, Statistics as a subject allows students to explore the use of an array of diagrams in real-life data situations, such as box-and-whisker diagrams and stem-and-leaf diagrams. Also in the syllabus is learning complex, subject-specific vocabulary such as the ‘median’, the ‘inter-quartile range’, and ‘cumulative frequency’. Once students have succeeded in gaining this ground knowledge, their techniques in collecting data in the form of questionnaires fairly can be put to the test in a two-hour exam. As you can imagine, this numeracy-heavy subject tends to be taken as a complement to GCSE Maths, which students will generally be taking at a Higher level when involved with this course. There can be considerable overlap between the two subjects, meaning that there is less to study.

Meanwhile, statistics on a school’s performance are also important in education. When parents are due to make their decisions on where their children should learn for the next five to seven years, a school’s success rates in Maths, English and Science (usually expressed as percentages), will be instrumental in their decision rating. In Further Education, there are also statistics used to show how many students are achieving As and Bs in certain subjects. This can be important for boosting the morale of students, showing them that they too could be one of the strongest performers in an examination environment.

Statistics is primarily a problem solving field of study and knowledge. Statisticians should have a drive and desire to solve mathematical and data problems, and should get satisfaction from working towards a solution. A good statistician should not feel beaten or defeated by a problem, even if it appears difficult - instead, they should rise to the challenge of coming up with the solution.

Statistics is also all about understanding and interpreting data. A good knowledge of mathematics is obviously essential, but statistics also requires strong communication skills in order to discuss data and any problems surrounding it. Statisticians usually work within a team, for example, with other statisticians, or as advisers to businesses, so they need to be able to communicate effectively with others within a professional environment. In addition, difficult problems require a team effort, and in order to fully understand the data at hand, communication may be essential.

Furthermore, statistics is about being knowledgeable in general. Statistics is not usually an isolated field - as I said above, statisticians usually work within businesses or companies. Therefore, they need a good knowledge base about the field in which they work, whether it be fashion, food, medicine or automobiles. Strong knowledge about your specific field allows a statistician to interpret data more accurately, and draw more reliable and applicable conclusions from the data in order to benefit the company or business.

Statisticians also work closely with computing technology, so should be well-versed an experienced in the latest data programming and organizing technology. Today, statisticians work with such vast amounts of data on such a regular basis that the role of computer technology cannot be ignored in the field of statistics. Statisticians should therefore be not only proficient, but confident, in using technology and software and applying it to particular sets of data.
Anonymous Profile
Anonymous answered
Discuss the importance os importance in the ff. Fields.
A. Education
b.business and importance
c.psychology
d.sociology
e.research
d.in the government
Anonymous Profile
Anonymous answered
Importance  of Statistics.
Anonymous Profile
Anonymous answered
Statistics is a mathematical science involving the collection, interpretation, analysis, and presentation of data. It is often used to make predictions based on data. It is widely applicable in various social and natural sciences as such as political science and medicine as well as in business such as the insurance industry.
For example, statistics are a very important part of political campaigns as they lead up to elections. Every time a scientific poll is taken, statistics are used to calculate and illustrate the results in percentages and to calculate the margin for error.
Statistics are also used in psychology. People’s behavior can be measured on a bell curve. Most people fall within acceptable ranges of the bell curve. However the people who fall outside "the norm" or on the "fringe" of the bell curve may be considered unstable.
Statistics are very important in various aspects of business; a terrific example is the insurance industry. It is the job of an actuarial scientist to determine how long people will live (statistically), how likely they are to have an accident, and how likely is it their home will burn down or be damaged in a hurricane? These risks are all rated based solely on statistical data and policies are priced accordingly.
thanked the writer.
wilma villaplaza
wilma villaplaza commented
I hope that the answer is match into the question....thanks!!!!!
Anonymous
Anonymous commented
Uses of statistics in agriculture,ict,economic development and education
Anonymous
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First 2 lines have been cheated frm wekipidia.com
Anonymous Profile
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Importance of statistics in science and technology
Anonymous Profile
Anonymous answered
Role of statistics
the major roles of statistics are-
1-collection of data
2-classification of data
3-tabulation of data
4-Analysis of data
5-interpretation of data
Anonymous Profile
Anonymous answered
Discuss with illustration the importance of statistics in the solution of social and economic problems
eranne ortiz Profile
eranne ortiz answered
A statistic is the result of applying a proper function (algorithm) to a set of data available to us.

Statistics has come to play an important role in almost every field of life and human activity. There is hardly any field where statistical data or statistical methods are used for one purpose or the other our arrival in this world and departure from here are recorded as statistical data somewhere and in same form.

Statistics plays an important role in business, because it provides the quantitative basis for arriving at decisions in all matters. All types of banks make use of statistics for a number of purposes. Statistics has proved to be of immense use in physics and chemistry. It has given a new understanding to the essential qualities of the laws of nature.

Statistics plays an important in psychology and education. In experimental psychology, whenever a problem has to be studied, it has to be based on a sample. Statistical methods are also used in analyzing the experimental data and drawing conclusions there from.
Syed Rizwan Ali Shah Hamdani Profile
IMPORTANCE OF STATISTICS IN VARIOUS FIELDS

As stated earlier, Statistics is a discipline that has finds application in the most diverse fields of activity. It is perhaps a subject that should be used by everybody. Statistical techniques being powerful tools for analyzing numerical data are used in almost every branch of learning. In all areas, statistical techniques are being increasingly used, and are developing very rapidly.

I. A modern administrator whether in public or private sector leans on statistical data to provide a factual basis for decision.
Ii. A politician uses statistics advantageously to lend support and credence to his arguments while elucidating the problems he handles.
Iii. A businessman, an industrial and a research worker all employ statistical methods in their work. Banks, Insurance companies and Government all have their statistics departments.
Iv. A social scientist uses statistical methods in various areas of socio-economic life a nation. It is sometimes said that "a social scientist without an adequate understanding of statistics, is often like the blind man groping in a dark room for a black cat that is not there".
Sadia Batool Profile
Sadia Batool answered
A statistic is the result of applying a proper function (algorithm) to a set of data available to us. Its statistical theory defines statistic as a function of a sample or a selected thing where the function itself is independent of the sample's distribution and separation. Statistics can be used in various fields from simple to complex. We may use it for counting things. We may use it in mathematics. Its main use is in research tasks. It makes our data compilation easier than ever before. It is all about simplification of things in a real world. It is playing a vital role in calculations in science subjects. It is helpful to keep and improve the record of an organization. Business management is incomplete without education of statistics. This shows that statistics is playing a role in all of the fields, it has a role in buying fruits from markte and it has a role in a big business deal as well. So we cannot deny its important and animated role in any way.
Sahar Sohail Profile
Sahar Sohail answered
The word statistics have been derived from the Latin word status or the Italian word "statista". Both the word means a political state. The word statistic is also found used by Shakespeare and Milton in the same of states men i.e. A person well versed in the affairs of the state. Its originally meant information useful to the state.    Statistics has come to play an important role in almost every field of life and human activity. There is hardly any field where statistical data or statistical methods are used for one purpose or the other our arrival in this world and departure from here are recorded as statistical data somewhere and in same form.    Statistics plays an important role in business, because it provides the quantitative basis for arriving at decisions in all matters. All types of banks make use of statistics for a number of purposes. Statistics has proved to be of immense use in physics and chemistry. It has given a new understanding to the essential qualities of the laws of nature.    Statistics plays an important in psychology and education. In experimental psychology, whenever a problem has to be studied, it has to be based on a sample. Statistical methods are also used in analyzing the experimental data and drawing conclusions there from.    We have seen that statistics now holds a central position in almost every field and the importance of statistics is increasing day by day.
Aisha Profile
Aisha answered
Statistics refers to a branch of mathematics that deals with collection, analysis, interpretation and presentation of data. It is widely used in all fields of life including social and natural sciences. And it would be very difficult to answer in detail at this forum. For detailed information on role of statistics see the link below:
en.wikipedia.org
Anonymous Profile
Anonymous answered
Statistics- is a science that deals with the collection, organization, presentation, analysis of data and interpretable of this result.
Anonymous Profile
Anonymous answered
Statistics is basically the collection ,analysing and presentation of data for decision making in an organisation.
Katie Profile
Katie answered
I HOPE THIS HELPS BECAUSE I KNOW NOTHING ABOUT STATISTICS.


applications of statistics in other fields are underlined.


According to Wikipedia:
Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. Also with prediction and forecasting based on data. It is applicable to a wide variety of academic disciplines, from the natural and social sciences to the humanities, government and business.

Acccording to Webster's-Online-Dictionary.org:
Statistics is a branch of applied mathematics which includes the planning, summarizing, and interpreting of uncertain observations. Because the aim of statistics is to produce the "best" information from available data, some authors make statistics a branch of decision theory. As a model of randomness or ignorance, probability theory plays a critical role in the development of statistical theory.
We describe our knowledge (and ignorance) mathematically and attempt to learn more from whatever we can observe. This requires us to

1.   Plan our observations to control their variability (experiment design),
2.   Summarize a collection of observations to feature their commonality by suppressing details (descriptive statistics), and
3.   Reach consensus about what the observations tell us about the world we observe (statistical inference).

In some forms of descriptive statistics, notably data mining, the second and third of these steps become so prominent that the first step (planning) appears to become less important. In these disciplines, data often are collected outside the control of the person doing the analysis, and the result of the analysis may be more an operational model than a consensus report about the world.
The probability of an event is often defined as a number between one and zero rather than a percentage. In reality however there is virtually nothing that has a probability of 1 or 0. You could say that the sun will certainly rise in the morning, but what if an extremely unlikely event destroys the sun? What if there is a nuclear war and the sky is covered in ash and smoke?
We often round the probability of such things up or down because they are so likely or unlikely to occur, that it's easier to recognise them as a probability of one or zero.
However, this can often lead to misunderstandings and dangerous behaviour, because people are unable to distinguish between, e.g., a probability of 10-4 and a probability of 10-9, despite the very practical difference between them. If you expect to cross the road about 105 or 106 times in your life, then reducing your risk per road crossing to 10-9 will make you safe for your whole life, while a risk per road crossing of 10-4 will make it very likely that you will have an accident, despite the intuitive feeling that 0.01% is a very small risk.

Some sciences use applied statistics so extensively that they have specialized terminology. These disciplines include:

Biostatistics  
Business statistics  
Economic statistics  
Engineering statistics  
Population statistics  
Psychological statistics  
Social statistics (for all the social sciences)  
Process analysis and Chemometrics (for analysis of data from analytical chemistry and chemical engineering)

Statistics form a key basis tool in business and manufacturing as well. It is used to understand measurement systems variability, control processes (as in "statistical process control" or SPC), for summarizing data, and to make data-driven decisions. In these roles it is a key tool, and perhaps the only reliable tool.
Anonymous Profile
Anonymous answered
Statistics has come to play an important role in almost every field of life and human activity. There is hardly any field where statistical data or statistical methods are used for one purpose or the other our arrival in this world and departure from here are recorded as statistical data somewhere and in same form. Some of the fields in which statistics play an important role are as follows:

· Statistics are a very important part of political campaigns as they lead up to elections. Every time a scientific poll is taken, statistics are used to calculate and illustrate the results in percentages and to calculate the margin for error.
· Statistics are also used in psychology. People’s behavior can be measured on a bell curve. Most people fall within acceptable ranges of the bell curve. However the people who fall outside "the norm" or on the "fringe" of the bell curve may be considered unstable.
· Statistics are very important in various aspects of business; a terrific example is the insurance industry. It is the job of an actuarial scientist to determine how long people will live (statistically), how likely they are to have an accident, and how likely is it their home will burn down or be damaged in a hurricane? These risks are all rated based solely on statistical data and policies are priced accordingly.
· Statistical methods are also used in analyzing the experimental data and drawing conclusions there from.
· It helps to monitor trends of growth of agricultural production and economic development. E.g. Sound use of agricultural inputs and technology of production considering the Social, economic and environmental issues and long-term sustainability, economic forces (e.g. Production, input, prices, wages, food consumption, Human resources (population, labor force), Natural resources (soil, water, climate).
· It helps to determine the physical composition of solid waste (food wastes, ash, slag, recyclable materials) originating from households. It is an example of using the sampling method for developing environment statistics.
Anonymous Profile
Anonymous answered
Well the great thing about statistics is that it is just about everywhere.  When you say 'other fields' I am assuming you mean, other than at a learning level in school/college.

Look in a newspaper, you will see stat for sports, weather, Election polls, the effect of the dollar drop on GDP and the inflation rate. You can use it for breeding animals, and estimate a very educated guess on  breeding success rates and the likes.

This is one subject that is used just about every where.

Anonymous Profile
Anonymous answered
Statistics is the science of assembling,classifying and tabulating numerical data or facts.
Anonymous Profile
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“Discuss the Role of Probability for solving problems in different fields of life.”
Anonymous Profile
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A coin is tossed and lands on tails. The coin is tossed a second time. What is the probability of the coin landing on tails a second time?
thanked the writer.
Anonymous
Anonymous commented
If the person who trow it trow the coin the same way he/she trow the coin for the first time
Anonymous Profile
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Statisticcal methods are widely used in all feilds of science data collection presentation and analysis become very easy

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