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Q: Is LTPD sampling plan lot size dependent?
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Define sampling design?

Sampling is a method of selecting experimental units from a population so that we can make decision about the population. Sampling design is a design, or a working plan, that specifies the population frame,sample size, sample selection, and estimation method in detail. Objective of the sampling design is to know the characteristic of the population.


What are the effects of sample size on sampling error?

The sampling error is inversely proportional to the square root of the sample size.


What has the author Hans T Schreuder written?

Hans T. Schreuder has written: 'Accuracy assessment of percent canopy cover, cover type, and size class' -- subject(s): Bootstrap (Statistics), Plant canopies 'Model-dependent and design-dependent sampling procedures' -- subject(s): Forests and forestry, Sampling (Statistics), Statistical methods


What sampling technique will be the best for the large population size?

Clustered sampling.Clustered sampling.Clustered sampling.Clustered sampling.


Define the four different sampling techniques?

1) Simple random sampling 2) Systematic sampling 3) Stratified sampling 4) Cluster sampling 5) Probability proportional to size sampling 6) Matched random sampling 7) Quota sampling 8) Convenience sampling 9) Line-intercept sampling 10) Panel sampling


What is a sampling ratio?

It is the ratio between the size of the sample and the size of the population.


What happens to the sampling error when the sample size is increased?

It is reduced.


In an SRS of size n what is true about the sampling distributions of p when the sample size n increases?

As n increases the sampling distribution of pˆ (p hat) becomes approximately normal.


What is a sampling distribution?

The sampling distribution for a statistic is the distribution of the statistic across all possible samples of that specific size which can be drawn from the population.


What difference between Statistical Sampling and non-statistical sampling?

Statistical sampling is an objective approach using probability to make an inference about the population. The method will determine the sample size and the selection criteria of the sample. The reliability or confidence level of this type of sampling relates to the number of times per 100 the sample will represent the larger population. Non-statistical sampling relies on judgment to determine the sampling method,the sample size,and the selection items in the sample.


As the sample size increases the standard deviation of the sampling distribution increases?

No.


What are the differences between probability sampling and non probability sampling?

In a probability sample, each unit has the same probability of being included in the sample. Equivalently, given a sample size, each sample of that size from the population has the same probability of being selected. This is not true for non-probability sampling.