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lgbasallote
 4 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?
lgbasallote
 4 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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Charlotte123
 4 years ago
Best ResponseYou've already chosen the best response.0Yes I believe so :D Since its random ;D

lgbasallote
 4 years ago
Best ResponseYou've already chosen the best response.0well...i know it's random....i just don't know the specific type of random sampling

Charlotte123
 4 years ago
Best ResponseYou've already chosen the best response.0Isnt there only one type? :O do u have choices lol? :P

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

lgbasallote
 4 years ago
Best ResponseYou've already chosen the best response.0no there isn't one type and no choices

KingGeorge
 4 years ago
Best ResponseYou've already chosen the best response.0I 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...

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0Taking AP Stats, eh @Igbasallote? It's SRS.

lgbasallote
 4 years ago
Best ResponseYou've already chosen the best response.0clustered random sampling has something to do with grouping right @KingGeorge ?

lgbasallote
 4 years ago
Best ResponseYou've already chosen the best response.0@vf321 not taking it....it's complicated anyway why SRS?

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0One sec let me take my notes out with precise definitions.

KingGeorge
 4 years ago
Best ResponseYou've already chosen the best response.0clustered 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.

lgbasallote
 4 years ago
Best ResponseYou've already chosen the best response.0yes. my thoughts too

KingGeorge
 4 years ago
Best ResponseYou've already chosen the best response.0It'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.

lgbasallote
 4 years ago
Best ResponseYou've already chosen the best response.0a lottery is a simple random sampling though...

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0Def 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.

lgbasallote
 4 years ago
Best ResponseYou've already chosen the best response.0...so how is it not cluster nor random?

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0You 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.

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0**QED was necessary for style points.

KingGeorge
 4 years ago
Best ResponseYou've already chosen the best response.0Ah. 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.

KingGeorge
 4 years ago
Best 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.

lgbasallote
 4 years ago
Best ResponseYou've already chosen the best response.0by SRS we're talking about simple? or stratified?

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0Simple of course. Stratified sampling can be thought of as homogenous clustering.

lgbasallote
 4 years ago
Best ResponseYou've already chosen the best response.0oh..i thought SRS meant stratified

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0And stratification would result in an internal SRS for each strata.

lgbasallote
 4 years ago
Best ResponseYou've already chosen the best response.0that was why i was confused with the definition

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0Well are you all clear now?

lgbasallote
 4 years ago
Best ResponseYou've already chosen the best response.0what is stratified random sampling then?

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0I 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.

lgbasallote
 4 years ago
Best ResponseYou've already chosen the best response.0i meant....how does it look like...i not good with understanding stat words

lgbasallote
 4 years ago
Best ResponseYou've already chosen the best response.0you choose part of the cluster?

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

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0Stratified 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

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0This 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.

lgbasallote
 4 years ago
Best ResponseYou've already chosen the best response.0but simple random sampling takes all of the population into account?

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0yes look at my definition above

lgbasallote
 4 years ago
Best ResponseYou've already chosen the best response.0like i said..im not good with stat words...just clarifying
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