In Kanner and colleagues' study on daily hassles and psychological symptoms, why did the researchers reject the null hypothesis?

Place the following steps in the correct order to represent the logical reasoning Kanner and colleagues used to conclude that daily hassles and psychological symptoms are related.

Match each element of Kanner’s study on hassles and symptoms to the specific component of null hypothesis testing logic it represents.

In Kanner and colleagues’ study, the researchers would have been required to fail to reject the null hypothesis if they had determined that their sample correlation of $+.60$ was actually quite likely to occur under the assumption that the null hypothesis was true.

You are formulating a research summary for a new study on the relationship between workload and burnout, modeled after the logical framework used by Kanner and colleagues. To create a scientifically valid conclusion for a population-level relationship, which of the following 'Statistical Inference' plans should you construct?

In the study conducted by Kanner and colleagues, the researchers found a strong negative correlation of $-.60$ between daily hassles and psychological symptoms.

Match each component of the logic used in Kanner's study to its specific role in the process of null hypothesis testing.

In Kanner and colleagues' study, the researchers concluded that a positive correlation exists in the population because they judged the null hypothesis to be a(n) _____ explanation for the observed sample correlation of $+.60$.

In the logic of null hypothesis testing illustrated by Kanner and colleagues' study, the researchers rejected the null hypothesis because they analyzed their sample correlation of $+.60$ and determined it was _____ to occur if the null hypothesis were true.

Order the steps below to reflect the logical process Kanner and colleagues used to evaluate the relationship between daily hassles and psychological symptoms, starting with the baseline assumption and ending with the population-level conclusion.

Based on the description of Kanner and colleagues' study on hassles and symptoms, identify the two main variables studied, the exact correlation coefficient found in their sample, the definition of the null hypothesis in this context, and the final decision they made regarding the null hypothesis.

Explain the comprehension-level logic that allowed Kanner and colleagues to reject the null hypothesis in favor of the alternative hypothesis. How did the likelihood of obtaining their sample correlation under the assumption that the null hypothesis is true lead to their final conclusion about the population?

Suppose another research group replicates Kanner's study design but finds a sample correlation coefficient of only $+.02$ between daily hassles and psychological symptoms. Applying the logic of null hypothesis testing demonstrated in Kanner's study, what decision should this research group make regarding the null hypothesis, and why?