The P-value and significance in research papers is sufficiently to assess the relation between two variables is it true or false
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Explanation:
When you perform a statistical test a p-value helps you determine the significance of your results in relation to the null hypothesis. The null hypothesis states that there is no relationship between the two variables being studied (one variable does not affect the other).
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The P-value and significance in research papers are sufficient to assess the relationship between two variables, the statement is true. The reasons are given below -
- The P-value has a huge significance being the sole proof of the correctness of data in a statistical structure.
- The P-value is used by many organizations as a testament to their authority for zero data breaching.
- To get started with P-value, we need to go through the process of the null hypothesis that shows that there's an equal benefit of both the variables from the system and the variables are not dependent on each other.
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