The minimum sample rate required to record a frequency of 96 kHz is 192 kHz. This is because according to the Nyquist theorem, the minimum sampling rate must be at least twice the highest frequency in order to accurately reconstruct the original signal. So for a frequency of 96 kHz, the minimum required sampling rate is double, which equals 192 kHz.
The value with the higher frequency is the one that occurs more often in a dataset or sample population.
NMR (Nuclear Magnetic Resonance) frequency is the radio frequency used to excite and detect the nuclear spins in a sample under study. It typically ranges from a few tens of megahertz to a few hundred megahertz depending on the type of nucleus being observed.
The time it takes for half the sample to decay is called the half-life.The time it takes for half the sample to decay is called the half-life.The time it takes for half the sample to decay is called the half-life.The time it takes for half the sample to decay is called the half-life.
Half-life is the length of time required for half the atoms in a radioactive sample to decay to some other type of atom. It is a logarithmic process, i.e. in one half-life, there is half the sample left, in two half-lives there is one quarter the sample left, in three half-lives there is one eight left, etc. The equation is... AT = A0 2 (-T/H) ... where A is activity, T is time, and H is half-life.
The formula for calculating the mean of a sample, represented by the symbol "" in statistics, is to add up all the values in the sample and then divide by the total number of values in the sample. This can be written as: x / n, where x represents the sum of all values in the sample and n is the total number of values in the sample.
According to the Nyquist theorem, a sample rate of double the frequency is required to record it, so 40 kHz .
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If you sample at more than the Nyquist frequency (one half the signal frequency) you introduce an aliasing distortion, seen as sub harmonics.
Probability of event = relative frequency = f/nf is the frequency of the event occurence in a sample of n observances.
Yes. If the sample is a random drawing from the population, then as the size increases, the relative frequency of each interval from the sample should be a better estimate of the relative frequency in the population. Now, in practical terms, increasing a small sample will have a larger effect than increasing a large sample. For example, increasing a sample from 10 to 100 will have a larger effect than increasing a sample from 1000 to 10,000. The one exception to this, that I can think of, is if the focus of the study is on a very rare occurrence.
The value with the higher frequency is the one that occurs more often in a dataset or sample population.
You must sample at 2 x the rate of the analog signal (2 x the analog signal frequency).
Yes.
the frequencies found in the sample data
How many alleles for black fur are in the sample population and what percentage of allele frequency does that reprent?Read more: How_many_alleles_for_black_fur_are_in_the_sample_population_and_what_percentage_of_allele_frequency_does_that_reprent
Some considerations are:large samples take more time and money to processif the characteristic of interest is very variable then a large sample is required for accurate estimatesif the characteristic of interest is very rare in the population then a large sample is required to ensure that units with that characteristic are included in the samplethe greater the accuracy required of the estimates based on the sample, the larger the sample required.
2kHz - That's the nyquist frequency at a sample frequency of 4kHz.