If the outcome resulted to the rejection of the null hypothesis, it said to be statistically significant.Select one:TrueFalse

Answer: True

When conducting hypothesis testing in statistics, the null hypothesis (often denoted as $H_0$) typically represents a statement of no effect or no difference. If the outcome of the test results in the rejection of the null hypothesis, it indicates that there is sufficient statistical evidence to support the alternative hypothesis (denoted as $H_1$). This often means that the observed data is unlikely under the assumption that the null hypothesis is true.

Statistical significance is measured by a p-value, which indicates the probability of observing the test results, or something more extreme, if the null hypothesis is true. A common threshold for significance is a p-value less than $0.05$, leading researchers to conclude that the results are not due to random chance. Thus, an outcome that leads to the rejection of the null hypothesis is indeed characterized as statistically significant.