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- [Instructor] In this video,
we're gonna get our bearings
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on the different types of studies
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you might statistically
analyze or statistical studies.
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So first of all, it's
worth differentiating
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between an experiment and
an observational study.
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I encourage you pause this video
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and think about what the difference is,
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at least in your head
between an experiment
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and an observational.
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Observational study.
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Well, you might already be
familiar with experiments.
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You oftentimes have a hypothesis
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that if you do something to one group,
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that it might have some type
of statistically significant
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impact on them relative to a group
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that you did not do it to.
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And you would be generally right.
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That is the flavor of
what we're talking about
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when we're talking about an experiment.
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An experiment we're
actively putting people
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or things into a control
versus treatment group.
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In the treatment group, you put the people
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and you usually would want
to randomly select people
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into the treatment group.
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Maybe it's a new type of medication.
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And maybe in the treatment group,
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they actually get the medication
while in the control group,
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which you would put people into randomly,
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whether they're in control or treatment,
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here they might get a placebo
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where they get a pill that
looks just like the medication,
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but it really doesn't do anything.
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And then you wait some
time and you can see,
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is there a statistically
significant difference
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between the treatment group on average
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and the control group.
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So that's what an experiment does.
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It's kind of this act of
sorting and figuring out
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whether some type of stimulus
is able to show a difference
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while an observational study,
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you don't actively put into groups.
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Instead, you just collect data
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and see if you can have some insights
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from that data.
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If you can say, okay, the data,
there's a population here,
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can I come up with some statistics
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that are indicative of the population?
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I might just wanna look at averages,
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or I might wanna find some
correlations between variables.
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But even when we're talking
about an observational study,
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there are different types of it,
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depending on what type
of data we're looking at,
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whether the data is
backward-looking, forward-looking
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or it's data that we are
collecting right now,
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based on what people
think or say right now.
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So if we're thinking about
an observational study
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that is looking at past data,
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and I could imagine
doing something like this
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at Khan Academy,
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where we could look at
maybe usage of Khan Academy
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over time.
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We have these things in our server logs,
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and we're able to make
do some analysis there.
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Maybe we're able to analyze and say,
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on average students are
spending two hours per month
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on Khan Academy over in 2019.
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That would be past data.
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And that type of observational
study would be called
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a retrospective study.
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Retro for backwards and spective, looking.
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So retrospective observational study
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would sample past data
in order to come up with
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some insights.
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Now you can imagine there
might be the other side.
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What if we are trying to
observe things into the future?
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Well, here you might
take a sample of folks
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who you think are
indicative of a population
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and you might want to
just track their data.
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So you could even consider
that to be future data.
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So you pick the group,
the sample ahead of time,
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and then you track their data over time.
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I'm just gonna try these little arrows
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that you're tracking their data,
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and then you see what happens.
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For example, you might
randomly select hopefully
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a random sample of a hundred women,
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and you wanna see in the coming year,
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how many eggs do they
eat on average per day?
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Well, what you would do is
you selected those folks
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and then you would track that data
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for each of them every day.
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And then once you have the data,
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you could actually do it
while you're collecting it.
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But at the end of the study,
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you'll be able to see
what those averages are.
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But you can also keep track of it
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while you're taking that data.
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And you could imagine
what this was called.
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Instead of retrospective,
we're now looking forward.
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So it is prospective, forward
looking observational study.
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Last but not least, some of
y'all are probably thinking,
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what about if we're doing something now?
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If we go out there and we were
to survey a bunch of people
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and say, how many eggs did you eat today?
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Or who are you going to vote for?
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What might we call that?
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It's tempting to call it
something with a prefix
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and then spective.
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So it all matches,
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but it turns out that the
terminology that statisticians
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will typically use is a sample survey.
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That right now you're gonna
take a hopefully random sample
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of individuals from the
population that you care about.
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And you are just gonna
serve them right now
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and ask them, say some questions
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or observe some data about them right now.
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So I'll leave you there.
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This video is to just
give you a little bit of
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the vocabulary and a
little bit of a taxonomy
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on the types of studies
that you'll see in general,
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which is especially useful to know
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when you're exploring
the world of statistics.