l T-Mobile LTE 3:00 PM Done 10 of 16 PSYC 004 Final 31. Performing many hypothes
ID: 3318409 • Letter: L
Question
l T-Mobile LTE 3:00 PM Done 10 of 16 PSYC 004 Final 31. Performing many hypothesis tests in seardh of at least one signifticant resuit will increase the error rate (fill in the blank). Compared to a betwerabjods dagn, a within stj study hap to eiminte vari- and requires fewer sample measurements to detect ability dueto differences among population means when they eis a betwoon-group differences b. measurement error c individual differences d. unobservable confounders 33 In designing a within-subjects study, which of the following is not an effect that theresearcher would like to prevent from occuring? a Treatmant ofect b. Fatigue Carryover eflect d. Practioe effect 34 In a two-way ANOVA, an F-statisic is computed as a ratio of two quantities Which of the fallowing goes to the numer at or in this ratio? a man square corresponding to error b. mean square corresponding to an dect c sum of squares corresponding to error d. degress of treedom correponding to an effect 35 If the sample szoe increases then what would happen to the sampling d dribution for a regression sope under the nuil hypothesis that the sope is zero? a Its spread decreases b. Its lccation can change from a nonzero value to zera c Its correspanding population slope changes d. Its skewnes incr eascs 10 4 ]Explanation / Answer
<As per answering guidelines answering the first 4 subparts of the question>
31. Let H(01), H(02), ... , H(0n) be n null hypotheses being tested and the level of significance of each of the null hypotheses is 'a'.
Then the Prob(Type I error) of the entire test = P(Atleast one of the tests is wrongly rejected) = 1 - P(none of the null hypotheses are not wrongly rejected) = 1-(1-a)n > a. Henc ethe overall prob(Type ! error) increases.
So the blank will be filled by : Type I Error.
32. The same subject can respond very differently to the same treatment due to the individual variances. So if we first study the differences within the subjects then we can remove the individual differences.
33. The treatment effect is an effect in which the researcher is interested and hence that is the primary effect under study. So the reasearcher will never let go of the treatment effect.
34. The F-statistic in any ANOVA = Mean square(Treatment)/Mean Square(Error), where each mean square is the sum of squares/ degrees of freedom.. So in the 2-way ANOVA, the F-statistic numerator is the Mean square due to a treatment
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.