Sampling

# Statistics

**Statistics** is the Science that collects data, describes them in a useful and simple way, analyzes them and interprets those data with the help of the Probability Theory.

When analyzing data, it is possible to use one of two statistics methodologies: **descriptive statistics** or **inferential statistics**.

- Descriptive statistics collects data, organises them in tables or graphs and calculates the parameters

- Inferential statistics makes conclusions from the data by using the Probability Theory

Inferential statistics is divided into:

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**Inductive statistics**which aims to estimate the parameters of a population either by using a single value (point estimation) or by using an interval (interval estimation)–

**Deductive statistics**tries to check if the information given by the sample matches the statistical hypothesis formulated by a statistical hypothesis testIn this unit we are going to see the point estimation. To do it, we have to distinguish the sample statistics and population parameters:

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**Population parameters or parameters**are the measures of location and dispersion of the population–

**Deductive statistics or statistics**are the measures of location and dispersion of the sample and they depend on the sample. We use the sample mean, , and the standard deviation of the sample, sLicensed under the Creative Commons Attribution Non-commercial Share Alike 3.0 License