Tatistical significance is very often mentioned in research reports. When asked what it means, a student replies that "results that are statistically significant tell us that they cannot easily be explained by chance variation alone if the hypothesis tested was true." Do you think this statement is essentially correct? Select the correct explanation. Yes. That is the heart of why we care about statistical significance. Significance tests allow us to discriminate between random differences that might occur when the null hypothesis is true and differences that are unlikely to occur when H0H0 is true. No. Significance tests allow us to discriminate between non‑random differences that might occur when the null hypothesis is false and differences that are likely to occur when H0H0 is true. Yes. That is the heart of why we care about statistical significance. Significance tests allow us to discriminate between non‑random differences that might occur when the null hypothesis is true and differences that are unlikely to occur when H0H0 is true. No. Significance tests allow us to discriminate between random differences that might occur when the null hypothesis is true and differences that are likely to occur when H0H0 is true.