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Questions and Answers
What is the formula used to calculate the total sample size n for estimating the population with a specified cost C?
What is the formula used to calculate the total sample size n for estimating the population with a specified cost C?
What relationship is established when minimizing both V' and C' according to the allocation results?
What relationship is established when minimizing both V' and C' according to the allocation results?
What condition must be met for equality in Cauchy-Schwartz's inequality when applied to the products V' and C'?
What condition must be met for equality in Cauchy-Schwartz's inequality when applied to the products V' and C'?
In the context of Neyman allocation, what assumption is made about A_i and c_i?
In the context of Neyman allocation, what assumption is made about A_i and c_i?
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What does the formula $ n_i ext{ proportional to } ext{sqrt}rac{A_i c_i}{n_i} $ imply about the sample allocation?
What does the formula $ n_i ext{ proportional to } ext{sqrt}rac{A_i c_i}{n_i} $ imply about the sample allocation?
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What is the primary goal of sample size allocation in stratified sampling?
What is the primary goal of sample size allocation in stratified sampling?
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Which of the following is NOT a method of allocation in stratified sampling?
Which of the following is NOT a method of allocation in stratified sampling?
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In proportional allocation, the sample size for each stratum is determined by which factor?
In proportional allocation, the sample size for each stratum is determined by which factor?
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What does Neyman allocation aim to minimize?
What does Neyman allocation aim to minimize?
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Which formula represents the sampling fraction in proportional allocation?
Which formula represents the sampling fraction in proportional allocation?
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What does equal allocation imply in terms of sample distribution?
What does equal allocation imply in terms of sample distribution?
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What is a characteristic of Neyman allocation concerning cost?
What is a characteristic of Neyman allocation concerning cost?
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Which allocation method is often chosen for administrative convenience?
Which allocation method is often chosen for administrative convenience?
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What is the main goal of the optimum allocation method in stratified sampling?
What is the main goal of the optimum allocation method in stratified sampling?
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Which formula represents the cost function in stratified sampling?
Which formula represents the cost function in stratified sampling?
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What is indicated when a stratum has larger variability according to the conclusions of relation (3.7.9)?
What is indicated when a stratum has larger variability according to the conclusions of relation (3.7.9)?
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What does the variable $ eta $ represent in relation to the function $
ho = V(̄st) + eta C $?
What does the variable $ eta $ represent in relation to the function $ ho = V(̄st) + eta C $?
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In which situation does relation (3.7.9) lead to Neyman allocation?
In which situation does relation (3.7.9) lead to Neyman allocation?
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What does the use of the calculus method of Lagrange multipliers allow researchers to do in stratified sampling?
What does the use of the calculus method of Lagrange multipliers allow researchers to do in stratified sampling?
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What does the term 'regularized sampling' imply in the context of phased surveys?
What does the term 'regularized sampling' imply in the context of phased surveys?
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If costs per unit vary among strata, how is the sample size determined according to relation (3.7.9)?
If costs per unit vary among strata, how is the sample size determined according to relation (3.7.9)?
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Study Notes
Stratified Sampling: Sample Size Allocation
- Stratified sampling allocates samples to different strata based on factors like stratum size, variability, and cost of observation.
- A good allocation maximizes precision with minimal resources. This means either maximizing precision for a given budget, or minimizing the budget for a given variance.
- Four methods of sample size allocation in stratified sampling are:
- Equal allocation: Dividing the total sample size equally among all strata.
- Proportional allocation: Allocating samples to strata proportionally to their sizes within the population.
- Neyman allocation: Allocating samples to strata based on stratum size multiplied by the stratum's variability divided by the overall cost.
- Optimum allocation: Determining sample sizes based on minimizing the variance for a specified cost (or minimizing cost for a fixed variance).
- Optimum allocation uses a formula to calculate the allocation (ni = (NiSi/√ci) * [Total sample Size/(ΣNiSi/√ci)]).
- In optimum allocation, the overhead cost(a) and the average cost per unit in each stratum (ci) are constant. This method may require a pilot survey for estimating the stratum variance (Si).
Equal Samples From Each Stratum
- A straightforward method for sample allocation from each stratum to make the variance smaller.
Proportional Allocation
- Employs a simple method for proportionally allocating samples across strata to match the strata's portion in the overall population.
Neyman Allocation
- Aims to minimize the variance by allocating more samples in strata with greater variability, ensuring the accuracy of the results.
Minimum Variance Allocation
- Neyman Allocation is considered as a minimum variance method for allocating samples across strata to minimize variance within a fixed sample size. This method accounts for the variability within each stratum.
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Description
Explore the various methods of sample size allocation in stratified sampling. This quiz covers equal, proportional, Neyman, and optimum allocation methods, highlighting how they maximize precision while considering costs. Test your understanding of how sampling strategies impact data collection.