It seems difficult to think about, but we use it a lot in our daily lives. For example: in the health sector , it is used in research to test the effectiveness of medications; in finance, for predicting stock prices. Also, other examples of application would be in other sectors, such as mining, companies, opinion and marketing surveys , climate, voting, among others. Maybe you can associate statistics with numbers, methods and percentages; however, these are only tools for organizing, summarizing, and presenting information. TYPES OF STATISTICS To understand this science it is necessary to discuss the types of statistics , these are the following: Descriptive statistics Due to the variable nature of the world around us, it is necessary to understand statistics as such.
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Surely many are wondering: What is descriptive statistics for ? Well, it helps us organize and synthesize variability into real observable groups. In short, it consists of describing and structuring the inevitable business email list variability between observations. This will be possible with the use of tools such as graphs, averages, ranges, table graphs, correlations, among others. All these resources will help us organize the data. Inferential statistics Understanding the descriptive scheme will also allow you to understand what inferential statistics is , since it is about taking observation to the next level and generalizing beyond limited sets of information.
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In short, it is concerned with making predictions or inferences based on observations and the analysis of a sample. Therefore, it allows us to have conclusions to explain a situation or phenomenon. Then, it will Latest Bulk SMS allow us to infer data that go beyond the immediate information that descriptive statistics can give you . Inferential statistics is also divided into two other types: parametric and non-parametric statistics . some statistics examples Parametric statistics Parametric statistics are based on assumptions of population distribution that tend to be normal.