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9 o F.2 A refresher O So if you suffer from intense mathophobia, t W/ you need a more thorough refresher do We need to
9 o F.2 A refresher O So if you suffer from intense mathophobia, t W/ you need a more thorough refresher do We need to remember some definitions ( different values (hence the term vas Definition F.I (Random variable). Y senjen pezzadive ev am sey sequedood out po inow well fit suffices, in general to 1 40 wins, vojsaudixe ou put same properties found for dis described in Chapter 22. xipuedde s/4 u/ xipuedde su u os shop To make this appendix ea aid pue senbruvon eva po because it makes explicit The main purpose of t. . ! PUB yooq su u sagidev them. In experimental design we use the the expected values. Warning: this chapter is a bit more .. .. mean squares were given and the assumptions used to derive them were merely building F and F' ratios. In the previous chapters, the expected values of the antioned. Here we are going to see how these assumptions are used to derive for deriving the expected value of mean squares. This is an essential step for g. To determine the effects of gender and reward vs punishment on maze learning by rats, 40 rats are assigned to experimental conditions as follows: 10 male rats and ten female rats are assigned to the reward condition, and 10 design. male rats and 10 female rats are assigned to the punishment condition. This experiment illustrates a a. one factor between subjects or S(A) [b. one factor within subjects or S x A c. two factor between subjects or S(A x B) Id. two factor within subjects or S x A x B e. partially repeated or split-plot or S(A) x B Of. AS X A(B) g. None of the above. h. To determine the effects of rap music on the immune system, an experimenter administers a test to measure an immunity factor three times to all subjects: once before the subjects listen to rap music, once immediately after listening to rap music, and finally one hour after listening to rap music. This experiment illustrates a design. a. one factor between subjects or S(A) b. one factor within subjects or S x A c. two factor between subjects or S(A x B) d. two factor within subjects or S x A x B [ e. partially repeated or split-plot or S(A) x B Of. AS X A(B) g. None of the above. 2. Type II error a. denotes the probability of accepting an effect of the independent variable even when no effect exists. b. is minimized by decreasing the significance level. c. is minimized by increasing the significance level. d. is increased by increasing the number of subjects. 7. In the French town of Boeuf-Sur-Daube, there are two hospitals. In the larger hospital about 50 babies are born ach day, in the smaller hospital about 10 babies are born each day. As you known, about 50 percent of the babies re boys. The exact percentage of baby boys however varies from day to day. Sometimes it may be higher than 50 ercent, sometimes it may be lower. For a period of one year, each hospital recorded the days on which (more/less) an 60 percent of the babies born were boys. Which hospital do you think recorded more such days? a. The large one. b. The small one. There is not enough information to decide. The two hospitals should have roughly the same number of such days
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