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Q: What are time sampling observations?
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Related questions

A sample of 24 observations is taken from a population that has 150 elements The sampling distribution of the mean is?

A sample of 24 observations is taken from a population that has 150 elements. The sampling distribution of is


What is the definition of time sampling?

definition of time sampling


What is the sampling distribution of a sample of 24 observations is taken from a population that has 150 elements?

12


What kind of errors arise in sampling?

sampling is a waste of time


Is it sampling time and sampling interval same?

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.


What is the main difference between sampling and census?

The main difference between sampling and census is that in sampling, a subset of the population is selected and studied to make inferences about the entire population, while in a census, data is collected from every individual or element in the population. Sampling is more cost-effective and less time-consuming compared to a census, which requires resources to collect information from every unit in the population.


Advantages and disadvantages of simple random sampling?

advantages: reduce bias easy of sampling disadvantages: sampling error time consuming


What is the instantaneous sampling?

Instantaneous sampling is one method used for sampling a continuous time signal into discrete time signal. This method is called as ideal or impulse sampling. In this method, we multiply a impulse function with the continuous time signal to be sampled. The output is instantaneously sampled signal.


What is the Different between sampling and quantization?

Sampling Discritizes in time Quantization discritizes in amplitude


When was Observations in Time created?

Observations in Time was created in 1969.


When to apply sampling?

you can use sampling when your population under study is large, expensive and time time consuming to study.... in a nut shell, when studying entire population is expensive we go for sampling...


Types of non-sampling errors?

refers to difference between sample & population that exist only coz of the observations that happened to be selected for the sample.