9. The multiple comparison problem (MCP describes which of the following situati
ID: 3323011 • Letter: 9
Question
9. The multiple comparison problem (MCP describes which of the following situations A. The Type 2B. The Type l error rate for the pairwise (individual) comparisons is less than the Type l error rate oC. The Type l error rate for the pairwise (individual) comparisons is the same as the Type I error rate a D. None of these situations describes MCP I error rate for the pairwise (individual) comparisons is greater than the Type I error rate for the experiment experiment 10. The probability of rejecting a true null hypothesis is referred to as A. statistical power B.type l error C, beta () D. type II error h of the following statements are characteristic and therefore distinguishes an experimental study from an observational study? In experimental studies: A. Predictor and factor variables are selected by the researcher. B. Treatment levels are selected by the researcher at random from all possible levels C. Sampling units are selected by the researcher. D. Sampling units are assigned by the researcher to treatment levels. o E. All of the above distinguish experimental studies from observational studies. 12. The figure at right is a calibration curve. If the absorbance for an unknown sample is 1.5, what is the approximate concentration of the unknown sample? 2.5 2.0 A. 5 B. 10 Absorbance (arb. units) 1.0 C. 15 D. 20 0.5 E. 25 13. What kind of prediction technique was used to answer Question 12? A. extraploation 10 20 30 Concentration (nM) B. guessing C. indication D. Interpolation E, prophecy 14. A study of 60 year old women with Type II diabetes was conducted to see if after 13 weeks of training (walking one hour at a pace 60% or better aerobic capacity three times per week) reduced blood glucose levels. Twenty two women participated and were randomly assigned to the control group (education only) or the treatment group (Walking). Body Mass Index (BMI) was calculated from the women's height and weight and grouped by C categories (underweight, normal, etc.). How many factors are there for this ANOVA design? A. One factor B. Two factors C. Three factors D. Can't tell, not enough information given.Explanation / Answer
Solution
9) Option (d) none of these situation as MCP is defined by Annova
10) option (b) type 1 error
11) option (e) all of the above
12) option (c) 15
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