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Why the Statistics are Important in Business?

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Why the Statistics are Important in Business?
71. Hoja de presentación
2. Introducción
5. Planteamiento del Problema
6. Hipótesis
8. Recopilación de datos
9comprobacion de la hipótesis
Ilustración
Conclusión
Recomendaciones
12. Bibliografía / Referencias citadas

Introduction
The statistics have been used in business long time ago, but with the new technologies used today, that helps the people with software and programs to make the data collection easier.
In this work we are going to present why the statistics are important in business, generally in big companies that need that data to help the to improve their sells and the product they make.
With this data the professionals also can make graphics to help the crew to understand better what they need to improve on the product, or maybe low the price.

Approach to the problem:
Why the statistics are important in business?

Hypothesis:
I think that the statistics are important in business because they help the company with the information from the customer or maybe from the sales.
The professionals use this system because I more ordered and easier to understand, this help when they need to know why the sells are going down or maybe why the customer is complaining about a product.
When the theme come the statistics the professionals know that using graphs simplify the comprehension about the data, but first we have to organize the data before using it.
These data is called raw data, and it is the first unorganized information that we got in statistics.
When we finish organizing this raw data,
We can make a formal inform about was going on in the selected theme.
After this we make the procedures to explain it like that to the crew or make a graphic, to make the people understand better the problems if there is one.
So this is important to understand what is going on with the product or before selling it what the people think about the concept of it.

Data collection:
Statistics gained recognition in business and industry in the



Bibliography: www.wikipedia.com www.michaelstatistics.com www.finantiallife.net

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