Together the two preceding problems demonstrate that A when

Together, the two preceding problems demonstrate that A) when we take a large enough random sample, any effect (however small) will be deemed statistically significant. B) the measure of statistical significance (a P-value) depends heavily on the sample size. C) practical significance is not the same thing as statistical significance. D) all of the statements above are true.

Solution

As we know that, in the statistical inference and testing of hypothesis the size of the sample is more important. In the case of estimating the parameter as sample size increases we move the true parameter value its means that as the sample sizes increases mean square error decreses. same situations also happened in the case of testing of hypothesis.

As the given options, D option is correst.