The basis for rejecting any null hypothesis is arbitrary. The researcher can set more or less stringent standards by deciding to raise or lower the critical p value. Would the use of a standard of p

A P value of 0.05 is considered as the gold standard of the significance level, but it depends on the type of study

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The scientists make experiments to collect relevant data and their conclusions are often based on statistical analyses of their results. In scientific method, the correct interpretation of the statistical results may be critical for obtaining conclusions. The statistical significance level or 'P value' is an index aimed at summarizing the results of a research. Karl Pearson created the term P value in 1900 and used this index in association with his chi-square test. The P-value can be defined as the probability of observing statistical results that are equal to or more extreme than the one observed when null hypothesis is correct. A P value of 0.05 is generally considered to be correct in many studies; however, this index may change according to the level of significance required for a particular case. It is also important to note the factors that may lead to errors in P value calculation (P>0.05): small sample sizes, errors in study design, errors in measurement methods, etc.

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