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Select the best answerTwo essential features of all statistically designed experiments are(a) compare several treatments; use the double-blind method.(b) compare se...

Question

Select the best answerTwo essential features of all statistically designed experiments are(a) compare several treatments; use the double-blind method.(b) compare several treatments; use chance to assign subjects to treatments.(c) always have a placebo group; use the double-blind method.(d) use a block design; use chance to assign subjects to treatments.(e) use enough subjects; always have a control group.

Select the best answer Two essential features of all statistically designed experiments are (a) compare several treatments; use the double-blind method. (b) compare several treatments; use chance to assign subjects to treatments. (c) always have a placebo group; use the double-blind method. (d) use a block design; use chance to assign subjects to treatments. (e) use enough subjects; always have a control group.



Answers

Select the best answer

Two essential features of all statistically designed experiments are

(a) compare several treatments; use the double-blind method.
(b) compare several treatments; use chance to assign subjects to treatments.
(c) always have a placebo group; use the double-blind method.
(d) use a block design; use chance to assign subjects to treatments.
(e) use enough subjects; always have a control group.

Question 92 in this study that talking about you have their subjects randomly assigned how to 40 from diets. This random, um, assumption made and moving of individuals into different groups is done using us after this is done without any sort of, um, individual. This involvement. There's no blocking. There's no there's no reason for the subtext to be night. These four dates. It's also important to mention it. Since we're using four different diets and we're putting people in your group, this isn't an observational study. So what can it be have, since it's completely random, we not to randomize design and sisters? No reason for the randomness. They're not, um, that I've been randomised different specific groups. There's no methods that are being put in place. It's a completely randomised to say

Question 90 to me. The community intervention trial for smoking cessation asked whether community want advertising campaigns would reduce smoking. So they located 11 person communities where each pair matched in regards educational size, economic status and other factors, and then one community. Each pair participated in an advertising campaign, and the other one did not. So really keep hurting. Any of this is that they keep talking about pairs, which means we have two different groups Good mind to work individuals in each of our match repaired across for comparison. So right away we can cross if if you it's not a knobbed original study because we are appearing groups and determining who is receiving treatment. So it is definitely not okay. Okay, It is, um, not randomized because we are preparing individuals ops. We can't just say it's a completely randomized Excuse me stratified into my study. And since we are talking about pairs here, we can actually claim that it is a mash bears experiment. Not just a randomized blocked a site

Question 93. They're looking at smoking because smoking, advertising and how advertising impacts people are become addicted to nicotine smoking. And so they have 11 pairs of communities. So they have set community one here, and security to each community has one person who's on advertising one person who's not. So maybe this group is ever tightening. This group is not. And then maybe what? This group is not protected with service. Greenlee aside, paired communities. Everything else is the same. They live in similar locations to more serious communities. Like my look status, everything else is matched. The only thing difference between the two is the advertising status. We're no and protected status. So what is this called? This is called a matched pairs experience because they are matched in that there's one community for advertising in one community for not that hard, similar and every other way. And it is an experiment because they're putting individual their communities and groups that they're studying there, just simply observing their adding or not adding an advertising component

This drug making picture started testing something you drunk to depression. But it turns out your minimized with one study a dummy pill did almost lost a new drug. The fact that some of you responded to this drug is referred to as a placebo was noble. People support factors. The idea that the drug now the individual, takes the drug and thinks that the drug is working in therefore because they think it's working. They feel better, Uh, a question that could be easy to pleasant selections that will be biased because individual themselves is biased and that they think because they do not know that they are receiving the placebo, They think they're taking the drug, and that's why they feel better. Ah, this is not a comparison because we're not comparing. I mean, the studies comparing me with actual concept, often individual feeling better by receiving medication is that comparison. But we do have a response, so it can't be no response. I'm a confounding would be if another variable was coming into affection results. So maybe we weren't accounting for level of depression. If this was, ah, a widespread of individuals of different medical backgrounds and that could be something confounding. But the fact that an individual just thinks they're getting better because they think I'm drunk they're receiving is at a medication that is to call them the placebo effect.


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