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Types of studies | AP Statistics | Khan Academy

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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.
Title:
Types of studies | AP Statistics | Khan Academy
Description:

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Video Language:
English
Team:
Khan Academy
Duration:
05:19

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