A behavioral psychologist suspected that the number of hours that people spend watching horror movies forms an unusual distribution. Moreover, she wanted to determine whether the number of hours spent watching horror movies is different for youth and adults. She took a random sample of 17 youth and a random sample of 14 adults, and she recorded the number of hours per month they spend watching horror movies, obtaining data as shown in the table below (arranged in order for your convenience). The SPSS output below that is regarding the distribution of the original data and of the logged data.

Hours per month watching horror movies Youth 1 3 5 12 18 22 26 30 44 47 49 Adults 2 3 13 20 28 20 30 33 SPSS Output base on the Original Data Youth Adults Tests of Normality Kolmogorov-Smimoy Shapiro Wilk Hours Youth 171 17 108 851 17 011 Adult 230 14 030 823 14 010 a Lillietore Significance Conection SPSS Output base on Logged Data Tests of Normality Kelmogorov-Smimay Shopko-Will Age_Group Santivia InHours Youth 184 17 200 17 GEO Adult 155 14 300 14 * This is a lower bound of the true significance. a. Lilliefors Significance Correction