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Below is the data available to you to test the null hypothesis. So, by running a hypothesis test and finding the p-value, we can understand the significance of the finding.Īssume you are supplied with the weight loss process through diet data. Conversely, if the p-value is higher, there is weak evidence against the null hypothesis.
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Aspiring analysts should know about the p-value and its purpose in data science. The p-value or probability value is a popular concept in the statistical world. read more to support or reject the null hypothesis. It confirms whether the primary hypothesis results derived were correct. The p-value is the probability value expressed in percentage value in hypothesis testing Hypothesis Testing Hypothesis Testing is the statistical tool that helps measure the probability of the correctness of the hypothesis result derived after performing the hypothesis on the sample data. So instead, we use other functions, such as the Chi-Squared test function.
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Unfortunately, Excel has no built-in method to find out the p-value of a given data set. The value of the p-value ranges from 0 to 1. The p-value is used in correlation and regression analysis in Excel, which helps us identify whether the result is feasible and which data set from the result to work with.