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If a sample of size s is to be taken from a population of size n, then every n/s member of the population is tested. The starting point is chosen at random.
If we want to test a 100-strong sample from a population of 2000, we test every 2000/100 = every 20th member. We use random numbers to determine the starting point.
To conduct stratified sampling, first divide the population into homogeneous subgroups based on a specific characteristic. Then, randomly select samples from each subgroup proportionate to their size in the population. This method helps ensure that each subgroup is represented accurately in the sample, leading to more reliable and precise results.
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Why is the tissue that makes up the epidermis of the skin called stratified epithelium?
The epidermis is called stratified epithelium because it is made up of multiple layers of epithelial cells stacked on top of each other. This stratified arrangement provides structural support and protection for the skin.
What is sampling which is related to information system?
Sampling in information systems refers to the process of selecting a subset of data or transactions from a larger dataset for analysis or testing. It allows organizations to efficiently analyze information without having to process entire datasets, which can be time-consuming and resource-intensive. Sampling helps in making inferences about the larger dataset based on the characteristics of the sampled data.
Why do we need sampling in research?
Sampling is essential in research to obtain representative data within a manageable time and cost. By selecting a subset of the population, researchers can draw conclusions about the larger group. It helps ensure that the findings are generalizable and applicable beyond the sample studied.
The difference between active and passive monitoring sampling?
Active monitoring involves sending out probes to actively collect data, while passive monitoring involves collecting data that is already flowing through the network. Active monitoring can be more intrusive and can impact network performance, whereas passive monitoring is typically non-intrusive. Both methods have their own advantages and limitations in terms of the depth of analysis and resource utilization.
The type of tissue that makes up the surface of the skin?
The type of tissue that makes up the surface of the skin is called stratified squamous epithelium. This tissue is composed of multiple layers of flat cells that provide protection against external stressors and help to prevent dehydration or infection. It is a key component of the epidermis, the outermost layer of the skin.
Are random sampling and stratified sampling one and same?
No.
What is simple random sampling and stratified random sampling?
yes
Sampling in operations research and management?
semi stratified sampling
What is stratified random sampling?
cheese
What are the various kind of sampling?
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
What are the example of stratified random sampling?
stratified random sampling is a sample(strata) that a same and hemogenieous in group and that a different and heterogenious in group
How is simple random sampling and stratified sampling related?
ang hirap!
What is the difference between quota and stratified sampling?
The main difference between the quota and stratified sampling is that in the stratified sampling the researcher can not select the individuals to be included in the sample (he doesn't have control over who will be in the simple), but in the quota sampling the researcher has control over who will be in the sample (he can contact certain people and include them in the sample).
Which sampling technique is appropriate for voting behaviour of people?
stratified sampling technique
Breifly explain three different examples of sampling?
simple random, stratified sampling, cluster sampling
Which sampling technique can assure that the profile of the sample matches the profile of the population?
Stratified sampling
Mention different types of sampling in statistics.?
Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling
