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Medical Study. Statistics are used behind all the medical study. Weather Forecasts. Statistics are very important for observation, analysis and mathematical prediction models. Quality Testing. Stock Market. Consumer Goods.
Statistical studies are extremely important in our everyday life. Statistics are the method of conducting a study about a particular topic by collecting, organizing, interpreting, and finally presenting data. Some major areas relying on statistics include government, education, science, and large companies.
Statistics are used behind all the medical study. Statistic help doctors keep track of where the baby should be in his/her mental development. Physician's also use statistics to examine the effectiveness of treatments. Statistics are very important for observation, analysis and mathematical prediction models.
Functions or Uses of Statistics. (1) Statistics helps in providing a better understanding and exact description of a phenomenon of nature. (2) Statistics helps in the proper and efficient planning of a statistical inquiry in any field of study. (3) Statistics helps in collecting appropriate quantitative data.
The phrase Uses and Abuses of Statistics refers to the notion that in some cases statistical results may be used as evidence to seemingly opposite these. However, most of the time, common principles of logic allow us to disambiguate the obtained statistical inference.
In Cosmology, probability can be used for asteroid impacts, like an asteroid of size > 200 meters, has a 1 in 2 million chance to hit the earth. Probability can also be applied to a Company's production state, its financial growth and much more. Here Statistics help in determining the probability.
Statistics is the mathematical science involving the collection, analysis and interpretation of data. A number of specialties have evolved to apply statistical and methods to various disciplines. Environmental statistics is the application of statistical methods to environmental science.
Statistics help in providing data as well as tools to analyze the data. Some powerful techniques are index numbers, time series analysis, and also forecasting. These are immensely useful in the analysis of data in economic planning. Further, statistical techniques help in framing planning models too.
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