How many individuals participated in a matched-subjected design with df = 12? 26
ID: 3201577 • Letter: H
Question
How many individuals participated in a matched-subjected design with df = 12? 26 13 11 14 Dr. z is interested in the effects of an antidepressant on men and women of three age group (teens, little-aged adults, and old-aged people) using three doses (0 mg, 500 km, and 1000 mg). Dr. Z should use a(n) test for her statistical analysis chi-square a series of independent - measure t tests related-samples t ANOVA. A disadvantages of a repeated-measure (related samples t test with one subject sample) is that you only need a small number of subjects it is not a powerful statistical test. one can compare only three means. there is a possibility of a carry-over effect. Which of the following sets of correlation correctly shows the highest to lowest degree to relationship? -0.91; + .83; -0.03; -0.10; 0.91; + .83; -0.10; -0.03; +0.83; + 0.10; -0.91; -0.03 -0.03; +0.83; + 0.10; -0.03; -0.91 In a 3 times 2 design there are factors treatment conditions (cells) 3:9 24;3 3;24 9;3.Explanation / Answer
25. Matched-subject design df=12
For matched design, the df=n-1=12(Given)
Therefore, number of individuals n is given as 13. Hence, the answer is b.13
26. Antidepressant experiment:
Since, Dr. Z is intersted to assess the influence of age groups and three doses, ANOVA will be the appropriate statistical analysis. Hence, answer will be d. ANOVA
27. A disadvantage of Repeated-measures:
d. There is a possibility of carry-over effect.
Eventhough, the wash-out period is alloted between the two periods, there will be some carry-over effect which cannot be fully eradicated.
28. Correlation:
b. -0.91; +0.83; +0.10, -0.03
In correlation, sign does not matter for strength of the relation. That is, if the correlation value which is far from 0 on either side (positive or negative) means strong relationship. Hence, the answer will be b.
Related Questions
drjack9650@gmail.com
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.