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There are two main branches of statistics, namely:
Descriptive statistics is a statistical aspect that measures the central tendency, distribution, and variability of samples. It deals with the collection and presentation of data using coefficients. The descriptive statistics coefficients may look like a representation of the whole population.
Many analysts and researchers usually use descriptive statistics to learn about specific data features.
Descriptive statistics also provide measures of central tendency for the estimation of statistics features. You may also use this form of statistics to describe the probability distributions and differences in data elements.
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Inferential statistics help make inferences on a large population where the analysts drew a sample. It is always helpful in hypothesis testing through majoring on the sample size and distribution of big sample data.
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Confidence intervals consist of the probability that a parameter of a specific population will be under two sets of the proportional value of time. The standard analysis system helps measure the degree of uncertainty and certainty in a detailed statistical analysis.
Hypothesis testing is essential in answering assumptions related to a population parameter. The statistical methods used by the analyst will depend on the nature of the data. There are always two options in hypothesis testing, I,e, accepting or rejecting the null hypothesis.
The tests will show whether the primary hypothesis is right or wrong. If you get the wrong hypothesis, you need to go for another one.
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