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lgbasallote

  • 2 years ago

"All the names of a class were written on separate tickets. Ten tickets were selected after the names were jumbled inside a can...." This is an example of simple random sampling right?

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  1. charlotte123
    • 2 years ago
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    Yes I believe so :D Since its random ;D

  2. lgbasallote
    • 2 years ago
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    well...i know it's random....i just don't know the specific type of random sampling

  3. charlotte123
    • 2 years ago
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    Isnt there only one type? :O do u have choices lol? :P

  4. lgbasallote
    • 2 years ago
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    it could be clustered random sampling....since they were grouped first... or maybe stratified random sampling since i don't know what it means....

  5. lgbasallote
    • 2 years ago
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    no there isn't one type and no choices

  6. KingGeorge
    • 2 years ago
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    I would probably argue that they're looking for clustered random sampling. They first divided some population up into "classes" and from this particular class, they made a simple random sampling. I see how this is confusing though. Since a clustered random sampling by definition has a simple random sampling in it...

  7. vf321
    • 2 years ago
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    Taking AP Stats, eh @Igbasallote? It's SRS.

  8. lgbasallote
    • 2 years ago
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    clustered random sampling has something to do with grouping right @KingGeorge ?

  9. lgbasallote
    • 2 years ago
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    @vf321 not taking it....it's complicated anyway why SRS?

  10. vf321
    • 2 years ago
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    One sec let me take my notes out with precise definitions.

  11. KingGeorge
    • 2 years ago
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    clustered random sampling is when you split the population into multiple groups/clusters, and then take a simple random sample. By saying this was from a "class" it implied to me that they had divided the overall population into multiple "classes"/groups.

  12. lgbasallote
    • 2 years ago
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    yes. my thoughts too

  13. KingGeorge
    • 2 years ago
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    It's that fact that confuses the question a little for me. Since any example of clustered random sampling is an example of simple random sampling as well.

  14. lgbasallote
    • 2 years ago
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    a lottery is a simple random sampling though...

  15. vf321
    • 2 years ago
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    Def 1. SRS is a sample selected from a population that ensures that EVERY possible sample of desired size has the same chance of being selected (i.e., random number generator - but, the College Board counts the shuffled names on tickets as random) Def 2. A population can be divided into non-overlapping subgroups called clusters which are internally heterogenous. Random selection of several clusters and then assessment of all internal individuals is cluster sampling.

  16. lgbasallote
    • 2 years ago
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    ...so how is it not cluster nor random?

  17. vf321
    • 2 years ago
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    You are taking ONE sample from your ticket pool, and each ticket has an equal chance of being drawn, assuming you take them at the same time, and do so randomly. You are NOT dividing the class into, say, desk groups and randomly choosing entire desk groups for your sample. QED, SRS.

  18. vf321
    • 2 years ago
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    **QED was necessary for style points.

  19. KingGeorge
    • 2 years ago
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    Ah. It makes more sense now. In a cluster sampling, you also have to take a sample of each cluster. Hence, this can't be CRS, so it must be SRS.

  20. KingGeorge
    • 2 years ago
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    ^^I think that's the right idea. Feel free to shoot me down if it's wrong.

  21. lgbasallote
    • 2 years ago
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    by SRS we're talking about simple? or stratified?

  22. KingGeorge
    • 2 years ago
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    Simple I think.

  23. vf321
    • 2 years ago
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    Simple of course. Stratified sampling can be thought of as homogenous clustering.

  24. lgbasallote
    • 2 years ago
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    oh..i thought SRS meant stratified

  25. vf321
    • 2 years ago
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    And stratification would result in an internal SRS for each strata.

  26. lgbasallote
    • 2 years ago
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    that was why i was confused with the definition

  27. vf321
    • 2 years ago
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    Well are you all clear now?

  28. lgbasallote
    • 2 years ago
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    what is stratified random sampling then?

  29. lgbasallote
    • 2 years ago
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    @vf321 ?

  30. vf321
    • 2 years ago
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    I told you, didn't I? "Stratified sampling can be thought of as homogenous clustering," but where each such homogenous cluster has an "internal SRS for each strata." I.e., you don't use the entire strata as your sample.

  31. lgbasallote
    • 2 years ago
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    i meant....how does it look like...i not good with understanding stat words

  32. lgbasallote
    • 2 years ago
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    you choose part of the cluster?

  33. lgbasallote
    • 2 years ago
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    or you divide a population into different clusters and then you select one cluster?

  34. vf321
    • 2 years ago
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    Stratified sampling: I want to observe high school student's attitude towards school assemblies. I know that there may be varying attitudes over grade level. Strata: Freshmen, Sophomores, Juniors, Seniors. Take a SRS (simple RS) of each strata (make sure size of SRS is proportional to grade population): 30 rand selected fresh, 20 r.s. soph., 25 r.s. juniors, 20 r.s. seniors. Sample = 30 + 20 + 25+ 20

  35. vf321
    • 2 years ago
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    This is done so that I have a sample that represents my population well. A whole SRS of the entire high school of size 95 can end up with, say, 50 sophomores, which may skew the results.

  36. lgbasallote
    • 2 years ago
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    ohhh

  37. lgbasallote
    • 2 years ago
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    but simple random sampling takes all of the population into account?

  38. vf321
    • 2 years ago
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    yes look at my definition above

  39. lgbasallote
    • 2 years ago
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    like i said..im not good with stat words...just clarifying

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