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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.

The two major areas of statistics are known as descriptive statistics, which describes the properties of sample and population data, and inferential statistics, which uses those properties to test hypotheses and draw conclusions.

We begin by introducing two general types of statistics: Descriptive statistics: statistics that summarize observations. Inferential statistics: statistics used to interpret the meaning of descriptive statistics.

Consider statistics as a problem-solving process and examine its four components: asking questions, collecting appropriate data, analyzing the data, and interpreting the results.

Sir Ronald Aylmer Fisher, a British polymath, is widely regarded as the father of modern statistics. Born on 17 February 1890 in East Finchley, London, England, his extensive work in the fields of mathematics, statistics, biology, genetics, and academia, laid the foundations for modern statistical science.

Statistics is defined as the science of collecting, organizing, presenting, analyzing and interpreting numerical data for the purpose of assisting in. making a more effective decision. Classifications: Depending on how data can be used, statistics is sometimes divided in to two main areas or branches.

The 3 main types of descriptive statistics concern the frequency distribution, central tendency, and variability of a dataset. Distribution refers to the frequencies of different responses. Measures of central tendency give you the average for each response.

5 basic statistics concepts Regression. Regression is a method for comparing two variables when one of them is independent and the other, or the others, depends on that first variable. ... Calculating the mean. ... Standard deviation. ... Sample size determination. ... Hypothesis testing.