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Statistics and probability
Course: Statistics and probability > Unit 6
Lesson 4: Types of studies (experimental vs. observational)- Types of statistical studies
- Worked example identifying experiment
- Worked example identifying observational study
- Worked example identifying sample study
- Observational studies and experiments
- Types of statistical studies
- Appropriate statistical study example
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Worked example identifying experiment
Worked example identifying experiment.
Want to join the conversation?
- In a well-designed study, wouldn't it be the case that the doctors would also be unaware who got the real pill and who received the placebo - a double blind study?(13 votes)
- This was an example of a poorly-executed study. The fact that the groups were told what groups got what would create bias.(12 votes)
- I wonder if instead of telling neither group what they are taking, telling both groups that they are taking the real pill would be even better since it would probably increase a placebo effect?(5 votes)
- Whenever you have a pill, it is probably assumed by you that it is a real pill and not a placebo one. So I guess when they say they wouldn't tell either group if the pill is real or not, they mean that for patients it is the real pill.(4 votes)
- A question stated:
The mayor of Statville has to decide how to allocate her education budget between the two high schools in town, “Stat Sticks” and “Datum High.” To decide which school deserves a bigger portion of the budget, she went over the grade sheets of the students from both schools in the past 5 years, and analyzed the data. She found that the overall grade average of “Stat Sticks” students is 4 points higher than the overall grade average of the students of “Datum High.”
And the answer to "what valid conclusion can be made from the result?" was
Students from “Stat Sticks,” in the last 5 years, had higher grades, on average, than students from “Datum High.”
But there was another option that specified the overall grade for each student being 4 points higher, I was wondering why that one was incorrect and the one more generally saying it was higher was correct.(2 votes) - Examples of identifying experiment are coin toss and rolling dice.(1 vote)
Video transcript
- [Instructor] We have some
type of study described here. I encourage you to pause this video, and think about whether this
is an observational study, it's an experiment, or
it's a sample study. And also think about whether
it was conducted well. All right, now let's do this together. A group of doctors was
interested in comparing the effectiveness of
placebo pills and real pills in treating migraines. Placebo pills are pills that look just like the regular pill, and from a patient's point of view, they don't know which on they're getting. The reason why we do this in studies is because there's something
called a placebo effect. Often times, just by taking something that you think is good for you, some medicine that you
think might help you, it actually does help you. We can think about why the
placebo effect happens, but this is well documented. So when people are
trying to test medicine, they wanna say, well,
does this have an effect above and beyond the placebo effect. That's why they are
putting them in these two, that's why they're comparing the real pills to the placebo pills. They randomly assigned
a group of 300 patients suffering from migraines into two groups. So they have their 300, they have their 300
patients right over here. And they're randomly putting
them into the placebo group. Placebo group, or the real pill group. One group was given a real pill, oh no, we already read that. Both groups were told which
kind of pill they got. That is sketchy because the
whole point about a placebo is that you think you got the real thing, or you think you might
have gotten the real thing. If you're told you got a placebo, that tends to undermine
the placebo effect. If you're just told
you're given a sugar pill, well, then the impact, well anyway. This is, that right over there
is definitely bad practice. So let's keep going over here. Before taking the pills,
and a day afterwards, the patients were asked
to fill out questionnaires regarding their condition. Then, the doctors analyzed
the overall changes in questionnaires for each
group and compared them. All right, so first of all, what type of study is this? Well, we're taking our groups, we are randomly putting them
into two different groups. You can call the placebo
group maybe the control group. And then you're putting the real pill as you're actual experimental group. So this is a classic experiment. This is a classic experiment. You're trying to establish
a causal relationship. You wanna see whether this real pill actually makes migraines better. Migraines better. So does it actually do it, and does it actually do
it better than a placebo? And you're randomly putting
the people in both groups to try to distribute any
confounding variables that there might be there. This is clearly an experiment. Now the other options,
you might have said, well, this may be an observational study? Remember, an observational
study, observational, that's more of where you
look at a population, you look at a group, you ask them a bunch of questions often, and you see if they're
correlations between two variables. So variable one, and variable two, and you're able to make some type of correlational statement. You're not trying to get at causality. In a sample study, a sample study, this is just you trying
to estimate a parameter for the entire population. So a sample study might of been, of the entire population what
percentage gets migraines. You can't talk to the entire population, maybe the entire population
is millions of people, so you take a sample of say 100 people. And you ask them, do you get migraines? Then you say, okay, that
percentage of our sample that get migraines, that's a good estimate for the parameter. What percentage of my entire population actually gets migraines? So this was clearly an experiment. Now the next question is, well, was this experiment conducted well? Even when I read it, I was
bothered by both groups were told which kind of pill they got. That completely defeats
the purpose of a placebo. The placebo effect is, hey,
I think I'm taking something good for me, and it's been
documented that when you think you're taking a pill that helps you, it often times does help you. And so when someone's coming
up with a new medicine, it better perform, or it
better be more effective than just that placebo. I don't like the fact that, this is a very bad study
to tell both groups what kind of pill they got. You actually should tell neither group which type of pill they got.