Question

Explain what​ "statistical significance" means. Choose the correct explanation below. A. Statistical significance means that the tools used to measure the data introduce error that needs to be accounted for when considering whether or not to reject the null hypothesis. B. Statistical significance means that the sample standard deviation is unusually​ small, resulting in an unusually large test statistic. C. Statistical significance means that the null hypothesis claims the population proportion is equal to something other than 0.5. D. Statistical significance means that the result observed in a sample is unusual when the null hypothesis is assumed to be true. E. Statistical significance means that the scenario being analyzed will have a meaningful​ real-world impact.

Answer 1

Answer:

The correct explanation is:

D. Statistical significance means that the result observed in a sample is unusual when the null hypothesis is assumed to be true.

Step-by-step explanation:

The statistical significance gives a threshold to measure if a sample result or observed effect is due only to a sampling or it really reflects a characteristics of the population we are studying.

The level of statistical significance is usually 0.05 or 5%, depending on how strong the evidence needs to be and the consequences of the conclusions of the study, taking into account the Type I and Type II errors.