Weight of Samples in Each Stratum of Population

  • Thread starter DragonPetter
  • Start date
In summary: A. The Attempt at a Solutionlet the smallest stratum have a weight of 1, then the next smallest will have a weight of 6,000/2,000 = 3, and the largest stratum will have a weight of 13,000/2,000 = 6.5
  • #1
DragonPetter
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Homework Statement


There are three stratums of a total population of 21,000 people, one consists of 13,000 people, one of 6,000 people, and one of 2,000 people. A sample of 100 people are taken from each stratum. What is each sample member's weight?


Homework Equations





The Attempt at a Solution


let the smallest stratum have a weight of 1, then the next smallest will have a weight of 6,000/2,000 = 3, and the largest stratum will have a weight of 13,000/2,000 = 6.5


Is this the correct concept for finding the weights of each sample member?
 
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  • #2
What is the goal here? Are you asked to calculate a separate average for each sample (100 people), then calculate their weighted sum?

Or are you going to calculate a pooled average (the average of 300 people)?
 
  • #3
Here let me give the full problem.

Suppose that a particular university has 6204 resident students, 13304 nonresident students, and 2401 staff, for a total population of 21909. The university president decides to obtain a stratified sample, with a total sample size of 300.

Suppose that the president decides to select a sample of 100 from each sampling stratum (instead of a self-weighted sample), for a total sample size of 300.

A. What is each sample member's weight?
B. Suppose that among the sample member, 2 resident student, 10 nonresident student, and 5 staff members expressed the opinion that campus security was bad. Use the sample results to estimate the total number of people in the population, and the total number of people within each stratum, who felt that campus security was bad.
 
  • #4
A. my answers would be (13304/2401) for nonresidents (NR), (6204/2401) for residents (R), and (2401/2401) for staffed (S) for the weights.

B. I would take these weights and multiple them by the given members of each stratum. so 2*(6204/2401) for R, 10*(13304/2401) for NR, and 5*(2401/2401) for S. Then I would add these up to get 65.578 and divide this sum by the total which is 300. I would then multiply this ratio (65.578/300) times the true total population of 21909, which would give me the total number of people in the population who expressed the opinion. Then I would use the individual weighted totals out of 300 and multiply those by the true total population of 21909 to get each stratum's population who expressed the opinion.
 
  • #5
For part (3) I would have calculated a percentage mean of 2% for sample 1, 10% for sample 2, and 5% for sample 3. Then the overall percentage mean will be:

(6204* 2% + 13304 * 10% + 2401 * 5%)/21909

I would have applied the resulting overall percentage mean to the total number of people (21909).

This should give you an idea about the weights I'd be using.

And for each stratum, I'd have applied the respective percentage mean for that stratum sample to the total number of people in the stratum (e.g. 2% x 6204 = ___).
 

FAQ: Weight of Samples in Each Stratum of Population

What is the purpose of calculating the weight of samples in each stratum of population?

The purpose of calculating the weight of samples in each stratum of population is to ensure that the sample accurately represents the entire population. By assigning different weights to each sample based on their respective strata, the overall sample will reflect the proportions of each stratum in the population, making the results more representative and generalizable.

How is the weight of samples in each stratum of population determined?

The weight of samples in each stratum of population is determined by dividing the size of each stratum by the total population size and then multiplying it by the desired sample size. This will give the weight of each stratum in the overall sample.

Can the weight of samples in each stratum of population change during the sampling process?

Yes, the weight of samples in each stratum of population can change during the sampling process. This may occur if the proportions of the different strata in the population change or if there are discrepancies between the estimated and actual population sizes of each stratum. In such cases, the weights can be adjusted accordingly to maintain the representativeness of the sample.

How does the weight of samples in each stratum of population affect the accuracy of the results?

The weight of samples in each stratum of population plays a crucial role in the accuracy of the results. By ensuring that the sample accurately represents the entire population, the results will be more accurate and reflective of the characteristics of the population as a whole.

Are there any limitations or assumptions when calculating the weight of samples in each stratum of population?

Yes, there are some limitations and assumptions when calculating the weight of samples in each stratum of population. These include assuming that the population is divided into distinct and non-overlapping strata, and that the characteristics of each stratum are known and can be accurately measured. Additionally, the accuracy of the results may be affected if there is a high degree of variability within each stratum.

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