Stratified Sampling: Sample Size from Greslow High

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In summary, there are three secondary schools in Banley with 750 students in Adis College, 700 students in Greslow High, and 900 students in Fripp School. Germaine takes a sample of 50 students stratified by school and the number of students from Greslow High in the sample is approximately 15.
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alpacalrh
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There are three secondary schools in Banley.
The table shows the number of students in each of these schools.
Adis College_Greslow High_Fripp School
750 700 900 Germaine takes a sample of 50 students stratified by school.
Work out the number of students from Greslow High in the sample.
 
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Re: help

****ing answer **** heads
 
  • #3
Re: help

alpacalrh said:
****ing answer **** heads

Hello,

Really? You post a thread with a completely useless title, and then post a problem with no effort shown, and now you are going to curse and demand we answer...mere minutes after originally posting?

That's not how we do things here...we are here to help you, not do your work for you. (Shake)

So, I will give you a chance to adjust that attitude, and show what you have tried, and then we can see where you are stuck and need guidance. Sound good?
 
  • #4
Re: help

alpacalrh, please avoid the use of derogatory language.
But to answer your first post, is it just me that I'm not quite understanding the problem? Could you explain more clearly?
 
  • #5
Re: help

Stratified sampling uses proportionate sampling...so this problem boils down to one of ratios. For example, out of the entire population of students from the 3 schools, the portion that are from Adis College is:

\(\displaystyle \frac{750}{750+700+900}=\frac{750}{2350}=\frac{15}{47}\)

So, the number of students in the sample of 50 from Adis College should be a rounding of:

\(\displaystyle \frac{15}{47}\cdot50\approx16\)

And then for Greslow High we would have:

\(\displaystyle \frac{14}{47}\cdot50\approx15\)

And for Fripp School:

\(\displaystyle \frac{18}{47}\cdot50\approx19\)
 

FAQ: Stratified Sampling: Sample Size from Greslow High

What is stratified sampling?

Stratified sampling is a sampling technique where the population is divided into subgroups, or strata, and a random sample is taken from each subgroup. This helps ensure that the sample is representative of the entire population.

How is stratified sampling different from other sampling methods?

Stratified sampling differs from other sampling methods, such as simple random sampling or cluster sampling, in that it takes into account the variability within the population and aims to reduce sampling error by ensuring that each subgroup is represented in the sample.

Why is sample size important in stratified sampling?

Sample size is important in stratified sampling because it determines the accuracy and precision of the sample. A larger sample size is generally more representative of the population and can reduce sampling error.

How do you determine the sample size for stratified sampling?

The sample size for stratified sampling can be determined by calculating the sample size needed for each subgroup, based on the proportion of the subgroup in the population and the desired confidence level and margin of error.

Can stratified sampling be used for all types of populations?

Stratified sampling can be used for populations that can be easily divided into subgroups, such as age groups, income levels, or geographical regions. However, it may not be suitable for populations with highly heterogeneous subgroups or when the subgroups are unknown.

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