Broadly speaking statistics are broken into two houses, experimental and descriptive. Descriptive statistics are like census data, they don’t draw direct conclusions but form the context for much of the rest of science.
Experimental is quite different. Basically, for every experiment you have two hypotheses. One where you think something will happen and one where you think nothing will happen. Experimental statistics works to find the difference between these two hypotheses and then determine how much change could have been by chance. By doing this we can know beyond a doubt whether experimental results were a fluke or not.
Statistics is a branch of mathematics that deals with collecting, analyzing, and interpreting data. It involves using mathematical models and techniques to summarize and draw conclusions from data. For example, if a researcher wanted to study the average height of people in a certain population, they could use statistics to collect and analyze the data, and then draw conclusions about the height of the population based on the results of their analysis. Statistics is used in many different fields, including psychology, economics, biology, and medicine, to help researchers and scientists make sense of complex data and make informed decisions.
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