Cut off sample in Mobi

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Aug 6th, 2022
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How to cut off sample in Mobi

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How to cut off sample in Mobi

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hello everyone this is Colin from fiber optics for sale in this video I will talk about the concept of cut off F length of a single mode fiber what is cutof f length simply put for a single mode fiber itamp;#39;s cut off F length is the shortest wavelength above this rence only one mode the fundamental lp01 mode properties the fiber is a single mode fiber below this wavelength higher order modes such as lp11 mode will propagate the fiber becomes a multim mode fiber the cut off vivence is important parameter for single mode fibers because it determines the wavelength range of its operation as a single mode fiber here is the formul to calculate the theoretical cut of f length of a single mod fiber Lambda C is the theoretical cut of f length a is the radius of the fiber core N1 is the refractive index of the core VC is normalized frequency data is a refractive index difference between the fiber core and cladding the typical Catal fence for 1.3 Micron single mode fibers range from

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For populations under 1,000, a minimum ratio of 30 percent (300 individuals) is advisable to ensure representativeness of the sample. For larger populations, such as a population of 10,000, a comparatively small minimum ratio of 10 percent (1,000) of individuals is required to ensure representativeness of the sample.
One highly cost-effective solution for many establishment surveys is cutoff sampling. This approach involves selecting only the largest units in the population for the sample and using statistical or econometric models to extrapolate the information to the smaller units.
In cut-off sampling, part of the target population is deliberately excluded from selection. In business statistics, the frame and the sample are typically restricted to enterprises of at least a given size (e.g. a certain number of employees).
How different are the sample sizes from small population vs large populations? Population SizeRequired Sample Size 5000 880 1000 517 500 341 300 235
If you want do statistical analysis, make the sample size large enough. This probably means a minimum of 400 respondents and a minimum of 800 is much better. Write simple, easily understood questions to avoid biased results.
As a general rule, sample sizes of 200 to 300 respondents provide an acceptable margin of error and fall before the point of diminishing returns.
A good maximum sample size is usually around 10% of the population, as long as this does not exceed 1000. For example, in a population of 5000, 10% would be 500. In a population of 200,000, 10% would be 20,000.
Definition: The date on which subsequently collected data will not be considered as part of the analysis.

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