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The four phases of a statistical investigation are pose a question, collect data, analyze the data, and interpret the results.
Some popular statistical model examples include logistic regression, time-series, clustering, and decision trees.
Types of Data in Statistics (4 Types - Nominal, Ordinal, Discrete, Continuous)
There are two kinds of Statistics, which are descriptive Statistics and inferential Statistics. In descriptive Statistics, the Data or Collection Data are described in a summarized way, whereas in inferential Statistics, we make use of it in order to explain the descriptive kind.
4 Types of Data - Nominal, Ordinal, Discrete, Continuous.
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The basics of statistics include the measure of central tendency and the measure of dispersion. The central tendencies are mean, median and mode and dispersions comprise variance and standard deviation. Mean is the average of the observations.
There are three real branches of statistics: data collection, descriptive statistics and inferential statistics. Let us look at these concepts in a little more detail. Data collection is all about how the actual data is collected.

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