Differences between statistical testing and hypothesis testing​

The hypothesis testing is done to infer about the study population based on random sampling. Statistical hypothesis is the statement about whether a pattern or trend or difference is present in the collected data.

Explanation:

In Statistics, one very important thing is statistical testing, if statistics “is the interpretation of the data”, statistical testing can be considered as the “formal procedure for investigating our ideas about the world”.

Hypothesis testing is an act in statistics whereby an analyst tests an assumption regarding a population parameter.

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