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What else can I help you with?
What does the sampling theorem tell us concerning the rate or sampling required for an analog signal?
You must sample at 2 x the rate of the analog signal (2 x the analog signal frequency).
What is the definition of central limit theorem?
The central limit theorem basically states that as the sample size gets large enough, the sampling distribution becomes more normal regardless of the population distribution.
Will the sampling distribution of x ̅ always be approximately normally distributed?
The sampling distribution of the sample mean (( \bar{x} )) will be approximately normally distributed if the sample size is sufficiently large, typically due to the Central Limit Theorem. This theorem states that regardless of the population's distribution, the sampling distribution of the sample mean will tend to be normal as the sample size increases, generally n ≥ 30 is considered adequate. However, if the population distribution is already normal, the sampling distribution of ( \bar{x} ) will be normally distributed for any sample size.
Will the sampling distribution of the mean always be approximatelly normally distributed?
Yes, and more so for larger samples. (It follows from the Central Limit Theorem.)
What is the importance of sampling in audit testing?
It takes too much time and effort to check each transaction.
Statement of sampling theorem?
sampling theorem is used to know about sample signal.
State sampling theorem?
sampling theorem is defined as , the sampling frequency should be greater than or equal to 2*maximum frequency, and the frequency should be bounded.. i,e fs=2*fmax where fs= sampling frequency
Derivation of sampling theorem?
sam. theorm
What does the central limit theorem say about the shape of the sampling distribution of?
The Central Limit THeorem say that the sampling distribution of .. is ... It would help if you read your question before posting it.
Is Nyquist theorem true for optical fiber?
I cannot see where the Nyquist theorem relates to cables, fiber or not.The theorem I know, the Nyquist-Shannon sampling theorem, talks about the limitations in sampling a continuous (analog) signal at discrete intervals to turn it into digital form.An optical fiber or other cable merely transport bits, there is no analog/digital conversion and no sampling taking place.
Why you are using sampling theorem in communication systems?
sampling is a one type of process use for converting into analog signal to digital signal.
What the importance of studying in theorem Bernoulli in civil engineering?
what the importance of studying in theorem Bernoulli in civil engineering
What does Sampling Theorem refer to?
Sampling Theorum is related to signal processing and telecommunications. Sampling is the process of converting a signal into a numeric sequence. The sampling theorum gives you a rule using DT signals to transmit or receive information accurately.
The mean of a sampling distribution is equal to the mean of the underlying population?
This is the Central Limit Theorem.
What name do you give to the standard deviation of the sampling distribution of sample means?
the central limit theorem
What Steps to take when selecting a suitable sampling frequency?
The Nyquist Theorem says that the sampling frequency should be twice the bandwidth to avoid aliasing. Thus if the bandwidth of the system is bw then the sampling frequency f=2*bw.
What is the relation between sampling frequency and wave frequency?
There is no factual relation between these, but there is a common rule known as the Nyquist-Shannon theorem, that states that to reproduce a waveform with only reasonably errors, the sampling frequency must be at least twice the wave frequency.
