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What kind of errors arise in sampling?
sampling is a waste of time
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.
True or False If the population distribution is unknown in most cases the sampling distribution of the mean can be approximated by the normal dist. if the samples contain at least 30 observations.?
true
What are the various kind of sampling?
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
What are the sources of sampling errors?
Sampling and Non sampling errors
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 sampling distribution of a sample of 24 observations is taken from a population that has 150 elements?
12
What is the definition of time sampling?
definition of time sampling
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?
In a census observations are recorded for each member of the population. In a survey only some of them are.
When was Observations in Time created?
Observations in Time was created in 1969.
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 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.
