What Is The Importance Of Statistics In Other Fields?

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.

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.

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.