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lgbasallote
Group Title
"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?
 one year ago
 one year ago
lgbasallote Group Title
"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?
 one year ago
 one year ago

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charlotte123 Group TitleBest ResponseYou've already chosen the best response.0
Yes I believe so :D Since its random ;D
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
well...i know it's random....i just don't know the specific type of random sampling
 one year ago

charlotte123 Group TitleBest ResponseYou've already chosen the best response.0
Isnt there only one type? :O do u have choices lol? :P
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
it could be clustered random sampling....since they were grouped first... or maybe stratified random sampling since i don't know what it means....
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
no there isn't one type and no choices
 one year ago

KingGeorge Group TitleBest ResponseYou've already chosen the best response.0
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...
 one year ago

vf321 Group TitleBest ResponseYou've already chosen the best response.2
Taking AP Stats, eh @Igbasallote? It's SRS.
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
clustered random sampling has something to do with grouping right @KingGeorge ?
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
@vf321 not taking it....it's complicated anyway why SRS?
 one year ago

vf321 Group TitleBest ResponseYou've already chosen the best response.2
One sec let me take my notes out with precise definitions.
 one year ago

KingGeorge Group TitleBest ResponseYou've already chosen the best response.0
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.
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
yes. my thoughts too
 one year ago

KingGeorge Group TitleBest ResponseYou've already chosen the best response.0
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.
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
a lottery is a simple random sampling though...
 one year ago

vf321 Group TitleBest ResponseYou've already chosen the best response.2
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 nonoverlapping subgroups called clusters which are internally heterogenous. Random selection of several clusters and then assessment of all internal individuals is cluster sampling.
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
...so how is it not cluster nor random?
 one year ago

vf321 Group TitleBest ResponseYou've already chosen the best response.2
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.
 one year ago

vf321 Group TitleBest ResponseYou've already chosen the best response.2
**QED was necessary for style points.
 one year ago

KingGeorge Group TitleBest ResponseYou've already chosen the best response.0
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.
 one year ago

KingGeorge Group TitleBest ResponseYou've already chosen the best response.0
^^I think that's the right idea. Feel free to shoot me down if it's wrong.
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
by SRS we're talking about simple? or stratified?
 one year ago

KingGeorge Group TitleBest ResponseYou've already chosen the best response.0
Simple I think.
 one year ago

vf321 Group TitleBest ResponseYou've already chosen the best response.2
Simple of course. Stratified sampling can be thought of as homogenous clustering.
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
oh..i thought SRS meant stratified
 one year ago

vf321 Group TitleBest ResponseYou've already chosen the best response.2
And stratification would result in an internal SRS for each strata.
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
that was why i was confused with the definition
 one year ago

vf321 Group TitleBest ResponseYou've already chosen the best response.2
Well are you all clear now?
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
what is stratified random sampling then?
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
@vf321 ?
 one year ago

vf321 Group TitleBest ResponseYou've already chosen the best response.2
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.
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
i meant....how does it look like...i not good with understanding stat words
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
you choose part of the cluster?
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
or you divide a population into different clusters and then you select one cluster?
 one year ago

vf321 Group TitleBest ResponseYou've already chosen the best response.2
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
 one year ago

vf321 Group TitleBest ResponseYou've already chosen the best response.2
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.
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
but simple random sampling takes all of the population into account?
 one year ago

vf321 Group TitleBest ResponseYou've already chosen the best response.2
yes look at my definition above
 one year ago

lgbasallote Group TitleBest ResponseYou've already chosen the best response.0
like i said..im not good with stat words...just clarifying
 one year ago
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