AP PSYCHOLOGY

Detailed explanation-1: -A study result is statistically significant if the p-value of the data analysis is less than the prespecified alpha (significance level). In our example, the p-value is 0.02, which is less than the pre-specified alpha of 0.05, so the researcher concludes there is statistical significance for the study.

Detailed explanation-2: -Level of significance is a statistical term for how willing you are to be wrong. With a 95 percent confidence interval, you have a 5 percent chance of being wrong. With a 90 percent confidence interval, you have a 10 percent chance of being wrong.

Detailed explanation-3: -Key Takeaways Statistical hypothesis testing is used to determine whether the result of a data set is statistically significant. Generally, a p-value of 5% or lower is considered statistically significant.

Detailed explanation-4: -What Is Statistical Significance? “Statistical significance helps quantify whether a result is likely due to chance or to some factor of interest, ” says Redman. When a finding is significant, it simply means you can feel confident that’s it real, not that you just got lucky (or unlucky) in choosing the sample.