One of the pioneers of deep-sea sampling in research was Sir Charles Wyville Thomson, who led the Challenger Expedition from 1872 to 1876. This groundbreaking voyage conducted extensive deep-sea sampling, collecting data on oceanic depths, marine life, and geological features. The expedition significantly advanced the understanding of deep-sea environments and laid the foundation for modern oceanography.
Answer is Quota sampling. Its one of the method of non-probability sampling.
Clamperl evolves in two ways. One way is to trade it while holding a DeepSeaTooth. Another way is to trade it while holding a DeepSea Scale. If you trade it while it is holding a DeepSea Tooth it will evolve into Huntail. If you trade it while it is holding a DeepSea Scale it will evolve into Gorebyss.
No.
It is a type of scientific study in which one seeks to find an answer to a question using predefined set of procedures. Qualitative data sampling involves collection of evidence and production of findings that were not considered previously in the study. It also explores beyond the immediate limits of the study involved.
you have to go to the abandored ship by dewford town, find the scanner then fly to slateport and give it to the captin (forgot his name) he will trade it for deepsea tooth or deepsea scale. you can only get one of them. if you already got 1 of the the other one is impossible to get without trading or cheating. deepsea tooth evolves clampearl into huntail and the scale evolves clampearl into goryabs (sorry about spelling)
Probability is related to statistics in a direct manner. When one is doing a research for statistics, probability has to be used especially in sampling a small region.
random sampling ,systematic sampling , self-selected , and there is one more i don't know
Sampling is done to ascertain the grade of mineral and metal values that vary in proportion from one place to another.
Basically in a stratified sampling procedure, the population is first partitioned into disjoint classes (the strata) which together are exhaustive. Thus each population element should be within one and only one stratum. Then a simple random sample is taken from each stratum, the sampling effort may either be a proportional allocation (each simple random sample would contain an amount of variates from a stratum which is proportional to the size of that stratum) or according to optimal allocation, where the target is to have a final sample with the minimum variabilty possible. The main difference between stratified and cluster sampling is that in stratified sampling all the strata need to be sampled. In cluster sampling one proceeds by first selecting a number of clusters at random and then sampling each cluster or conduct a census of each cluster. But usually not all clusters would be included.
Basically in a stratified sampling procedure, the population is first partitioned into disjoint classes (the strata) which together are exhaustive. Thus each population element should be within one and only one stratum. Then a simple random sample is taken from each stratum, the sampling effort may either be a proportional allocation (each simple random sample would contain an amount of variates from a stratum which is proportional to the size of that stratum) or according to optimal allocation, where the target is to have a final sample with the minimum variabilty possible. The main difference between stratified and cluster sampling is that in stratified sampling all the strata need to be sampled. In cluster sampling one proceeds by first selecting a number of clusters at random and then sampling each cluster or conduct a census of each cluster. But usually not all clusters would be included.
cluster sampling, quota sampling, systematic sampling, stratified random sampling which one is correct?
Focal sampling is a method in observational research where an observer focuses on a specific individual or group of individuals for a set period of time. This allows for detailed information to be gathered about the behavior and interactions of the focal individual(s) within a specific context.