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## High school statistics

### Course: High school statistics > Unit 5

Lesson 1: Introduction to planning a study- Identifying a sample and population
- Identify the population and sample
- Generalizability of survey results example
- Generalizability of results
- Types of studies
- Worked example identifying observational study
- Invalid conclusions from studies example
- Types of studies

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# Generalizability of survey results example

AP.STATS:

DAT‑2 (EU)

, DAT‑2.B (LO)

, DAT‑2.B.1 (EK)

, DAT‑2.B.2 (EK)

CCSS.Math: Practice identifying to which population the results of a survey can be generalized.

## Want to join the conversation?

- what is Generalizabilty mean? this is not making any sense.(3 votes)
- Generalizability refers to the extension of study results to the population. If you have a random sample, you can generalize (extend) your results to the population you took your sample from. If you only have volunteers or some other sort of non-random sample, you can only generalize (extend) your results to those people and people similar to them.(3 votes)

- Im confused because the right answer be wrong sometimes .(2 votes)
- pokpmpomspdvm]s

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s;ev,se,vs(1 vote)- The answer to this question is... GO SEE A DOCTOR!(1 vote)

- How can I understand this better? It makes no sense.(1 vote)
- ask the question please(1 vote)
- Growing up is hard(1 vote)

## Video transcript

- [Instructor] First-year
students at a certain large university are
required to live on campus in one of the 24
available residence halls. After their first year, students have the option
to live away from campus, but many choose to continue
living in the residence halls. Estella oversees 12 of
these residence halls. Her department surveyed a
large simple random sample of first-year students who live
in those 12 residence halls about their overall
satisfaction with campus living. Estella can safely generalize the results of the survey to which population? So pause this video, and see
if you could figure it out. All right, so let's do this together. So Estella has done, it's a large simple random sample of first-year students. So let's see, choice A is only those
students who were surveyed. Well, no, this was a simple random sample, and it was a large sample, so
it's meant to be indicative of all first-year students. You can generalize more
than just making statements about just the students who were surveyed. All first-year students, but only those who live in
these 12 residence halls. Yeah, I think this one looks fair because you can't generalize to people who don't live in those residence halls. Maybe Estella oversees the
12 best residence halls or the 12 worst residence halls, and so you wouldn't get,
if that were the case, you would not be able to
generalize beyond that. Or these might be the 12
that are closest to campus or the 12 that are furthest from campus. So you can only generalize to people who live in those residence halls. All students, first-year and not, but only those who live in
these 12 residence halls. Well, the issue here is, is that a second-year student
or a third-year student might just have a different perspective, even if they live in those,
in that same building and we did a large random
sample of first-year students. We didn't do a large random
sample of all people in that, in that, those 12 residence
halls, so rule that out. All first-year students
at the entire university, but not students beyond their first year. Well, this wouldn't make sense because there would be first-year students who would be outside of
those residence halls. And as I already mentioned,
the ones that Estella manages might not be indicative of where all of the first-year students
in this university live.