1. A researcher conducts a study and concludes that a new behavioral health treatment program significantly reduces one's risk for disease compared with risk levels in the general population (d = -0.64). Interpret the size of this effect.
A) 64% of the variability in risk level can be accounted for by the new treatment.
B) 64% of the new treatment can be accounted for by the risk levels.
C) Risk levels in the population shifted 0.64 standard deviations below the mean.
D) Risk levels in the population shifted 0.64 standard deviations above the mean.
2. A researcher finds that the mean difference in productivity between employees working the morning shift (n = 16) and the night shift (n = 10) is 5.0 units, and the estimated standard error for the difference is 2.7 units. If the alternative hypothesis states that there is a difference in productivity, then is this result significant at a .05 level of significance?
A) Yes, this result is significant.
B) No, this result is not significant.
C) There is not enough information to answer this question.