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Sampling Interval is the inverse of sampling ratio. For instance, we want to sample 300 names from 900. After a random starting point, we select every third name of the 900 to get a sample of 300. The sampling ratio is 300/900 = 0.333 (or 33%) and the sampling interval is 1/0.333 which is 3.

Q: How you can get a sampling interval from the sampling ratio?

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Nope. Sampling time - is the amount of time it takes to obtain the sample. Sampling interval - is the period of time between samples. For example - it may take 10 seconds to obtain a sample. Obtaining a sample once a day is a sampling interval of 24 hours.

It is ratio.

interval

interval

ratio

If the sampling frequency doubles, then the quantization interval remains the same. However, with a higher sampling frequency, more quantization levels are available within each interval, resulting in a higher resolution and potentially improved signal quality.

interval

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

Nominal Scale < Ordinal< Interval < Ratio

Ratio. It has a true zero.

No.

There must be a comparison between three or more independent means.Data must be at the interval levelRandom sampling design must be usedWe must assume a normal distributionThere needs to be equal variances