The very first step of any hypothesis testing is to state the two important hypothetical conditions i.e. Null hypothesis and Alternate hypothesis. These two hypothetical condition defines the actual study which we want to do by performing hypothesis test. While performing hypothesis testing, the researcher needs to convert the practical problem into the statistical problem …
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P-value in hypothesis testing is the key element of decision making. Whatever results we will get after performing a hypothesis test, it ends up to meaningful decision with the help of P-value. This value helps us to provide the practical conclusion at the end of any type of hypothesis test. Most Six Sigma learners and …
Hypothesis testing in statistics is one of the most important analytical tools which helps businesses make data-based decisions without any error. It combines tested techniques. real-world data and effective procedure that allows testing assumptions or claims on the basis of beliefs, evidence, etc. to make better decisions. Understanding this concept is a little bit confusing …
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