Question
In their review of research on overlearning, Driskell, Willis, and Copper (1992) found that a minimum of $\qquad$ percent overlearning was required before effects on retention enhancement became significant.
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The question asks for the minimum percentage of overlearning required for significant effects on retention enhancement, as found by Driskell, Willis, and Copper (1992). Show more…
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A study claims that a particular training regimen can improve memory retention capacity among students. In an experiment to test the claim, a group of 8 randomly selected high school students was asked to repeat, from memory, certain digits after hearing them once. These students then underwent the training programme and were made to perform the memory exercise once again. The data collected from the experiment is presented in the following table: Compute a $95 \%$ confidence interval for the difference in the means of the number of digits recalled by the students before and after training to determine whether the claim is valid. Assume that the distribution of the difference in the digits recalled by the students is approximately normal.
One- and Two-Sample Estimation Problems
Maximum Likelihood Estimation
A long history of psychology research has demonstrated that memory is usually improved by studying material on multiple occasions rather than one time only. This effect is commonly known as distributed practice or spacing effects. In a recent paper examining this effect, Cepeda et al. (2008) looked at the influence of different delays or gaps between study sessions. The results suggest that optimal long-term memory occurs when the study periods are spaced one to three weeks apart. In one part of the study, a group of participants studied a set of obscure trivia facts one day, returned the next day for a second study period, and then was tested five weeks later. A second group went through the same procedure but had a one-week gap between the two study sessions. The following data are similar to the results obtained in the study. Do the data indicate a significant difference between the two study conditions? Test with $\alpha=.05$.
Consider two groups of students: $B_{1^{\prime}}$, students who received high scores on tests, and $B_{2^{\prime}}$, students who received low scores on tests. In group $B_{1}, 20 \%$ study more than 25 hours per week, and in group $B_{2}, 40 \%$ study more than 25 hours per week. What is the overinvolvement ratio for high study levels in high test scores over low test scores?
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