Medal Given and fan
Here is the question
(a) Stratified sampling is a technique to ensure that a sample is representative of the population, in cases where a simple random sample might give a sample that is different from the population. A stratified sample uses separate random samples of exactly the same size taken from each group of the population.
ok, I've already worked that one out. What is the answer to part two.
@ganeshie8 @amistre64 @ParthKohli @ParthKohli @Preetha
wouldnt it idealy be the same ratio?
the population ration is 314 out of total number of population ....
does this make sense?
so, \[\frac{ 314 }{ 599 }\]
thats the ratio we would expect yes so if we divide 50 by 599, and multiply it by 314, we get the expected value in a sample size of 50
\[599,\div 599,*314=314\] \[50,\div 599,*314=??\]
26.6 = 27
yep, so ideally we would expect 27 people in the sample size of 50 to be over the age of 60
Join our real-time social learning platform and learn together with your friends!