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In his popular series, Andrew Vickers, PhD, discusses the null hypothesis, using surgical infection rates to demonstrate a problem in interpretation.

The null hypothesis offers a unique approach to identifying weaknesses in business models, fostering innovation.

Hypothesis Testing 4--Chi-Square for Goodness of Fit Tests and Independence In Hypothesis Testing 1, 2 and 3, you have used normal and t-distributions to test hypotheses. Chi-Square tests use the ...

In this scenario, your null hypothesis has shifted. Because you can see that heat is being input to the pot, your baseline assumption is that the water is becoming hotter, and you would require ...

The P-value is a random variable derived from the distribution of the test statistic used to analyze a data set and to test a null hypothesis. Under the null hypothesis, the P-value based on a ...

The problem of testing a point null hypothesis (or a "small interval" null hypothesis) is considered. Of interest is the relationship between the P value (or observed significance level) and ...

Null hypothesis significance testing (NHST) is the default approach to statistical analysis and reporting in marketing and, more broadly, in the biomedical and social sciences.

Nature Reviews Neuroscience - Experimental power comes from powerful theories — the real problem in null hypothesis testing ...