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Q: Derivation of sampling theorem

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The central limit theorem can be used to determine the shape of a sampling distribution in which of the following scenarios?

the central limit theorem

Thanks to the Central Limit Theorem, the sampling distribution of the mean is Gaussian (normal) whose mean is the population mean and whose standard deviation is the sample standard error.

Answer is Quota sampling. Its one of the method of non-probability sampling.

1) Simple random sampling 2) Systematic sampling 3) Stratified sampling 4) Cluster sampling 5) Probability proportional to size sampling 6) Matched random sampling 7) Quota sampling 8) Convenience sampling 9) Line-intercept sampling 10) Panel sampling

Related questions

sampling theorem is used to know about sample signal.

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

applied in making of aeroplane wings

The central limit theorem can be used to determine the shape of a sampling distribution in which of the following scenarios?

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.

sampling is a one type of process use for converting into analog signal to digital signal.

This is the Central Limit Theorem.

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 central limit theorem

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.

the process of deducing a new formula, theorem, etc., from previously accepted statements. • a sequence of statements showing that a formula, theorem, etc., is a consequence of previously accepted statements.

I believe what you are asking for is: "Explain Bernoulli's theorem. I can't help much, but it does have to do with the Law of Large Numbers.

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