**Statistics **is a very expansive wide-ranging subject, with applications in a huge number of various fields. In general one can say that statistics is the method for collecting, analyzing, interpreting and representing conclusions from information. In other words, statistics is the methodology which mathematicians and scientists have established for interpreting and depicting conclusions from collected data.

Statistics in practice is applied effectively to study the efficiency of medical treatments, the response of consumers to television advertising, the attitudes of young people toward marriage, and much more. Itâ€™s innocuous to say that at the present time statistics is used in every field of science.

- agricultural problem: Is new grain seed or stimulant more useful?
- medical problem: What is the right prescribed amount of dosage of drug to treatment?
- political science: How accurate are the opinion polls?
- economics: What will be the unemployment rate next year?
- technical problem: How to improve the quality of a product?

Everything that deals even the slightest bit with the collection, processing, interpretation and presentation of data belongs to the field of statistics, and so does the thorough planning of that heads all these activities. Statistics is allied to probability because the information we use when deciding probable outcomes comes from our understanding of statistics. Additionally, statistics is the science of dealing with undefined occurrence and events. Statistics comprises of a body of methods for collecting and analyzing data.

Statistics is the science of attaining information from numerical and definite data. Statistics is more than just the tabulation of numbers and the graphical arrangement of these tabulated numbers. Statistical methods can be used to find answers to questions like:

- What kind and how much data needs to be collected?
- How should we organize and review the data?
- How can we evaluate the data and draw conclusions from it?
- How can we measure the strength of the conclusions and analyze their uncertainty?

- Design: Planning and carrying out research studies, that can answer questions at hand
- Description: Summarizing and exploring data.
- Inference: Making forecasts and simplifying about occurrences denoted by the data and coming to trustworthy conclusions

The quantities measured in a study are called random variables, and a specific outcome is called an observation. Several observations are collectively known as data. The collection of all possible outcomes is called the population. The variables may be *qualitative or quantitative*. A third method which is sometimes used for qualitative data is called a pie chart.

**Mentioned below are some claims that we have heard on several occasions. All of these claims are statistical in character. The examples come from psychology, sports, health, business, law etc.**

A set of data on its own is very hard to interpret. There is lots of information contained in the data, which is hard to see. We need means of understanding important features of the data, and to summarize it in significant ways. When the data are distinct and the occurrences refer to individual values, we demonstrate them graphically using a bar chart with heights of bars indicating frequencies. Statistics provides tools that are needed in order to respond logically to information you hear or read.

- 4 out of 5 dentists recommend Dentine.
- Almost 85% of lung cancers in men and 55% in women are tobacco-related.
- There is an 80% chance that in a room full of 50 people that at least two people will share the same birthday.
- People predict that it is very unlikely there will ever be another cricket player with a batting average over 425.
- A surprising new study shows that eating egg whites can increase one's life span.
- Women make 75 cents to every dollar a man makes when they work the same job.
- 77.48% of all statistics are made up on the spot.

Certainly, data and data interpretation emphasize practically every facet of modern life. Statistics are all around you, sometimes used well; and at most times not hence we must learn how to differentiate them. This will in turn make you into an intelligent consumer of statistical claims. The field of statistics is the science of learning from data. Statisticians offer important perception in defining which data and conclusions are reliable. Statisticians know how to solve scientific secrecies and how to avoid ploys that can trip up investigators.

- Weather Forecasts
- Quality Testing
- Stock Market
- Medical Studies
- Genetics
- Consumer Goods
- Emergency Preparedness
- Predicting Disease
- Political Campaigns
- Insurance

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