A control sample is the experiment under regular conditions. An experimental sample is the experiment in which different variables are changed.
The sample space represents the set of all possible outcomes of a probabilistic experiment or random process. It serves as a foundation for probability theory, allowing researchers and statisticians to define and analyze events within that context. Each outcome in the sample space is mutually exclusive, meaning only one can occur at a time in any single trial of the experiment. For example, in a coin toss, the sample space consists of two outcomes: heads and tails.
what is the type of sample in which each member of the sample set or group has an equal chance of being chosen
what is the type of sample in which each member of the sample set or group has an equal chance of being chosen
Stratified sampling is used where the population to be sampled can be divided into subsets, called strata, according to some criterion. Each of these strata are then treated as population and random samples representing the same sampling proportion are taken from each stratum. This ensures that in the overall sample, the number from each stratum is proportional to the size of the stratum in the population. So, for example, if the population consists of 100 boys and 150 girls and you want a sample of 25. The overall sampling proportion is 25/(100+150) = 25/250 = 1/10. So the sampling procedure is to take a simple random sample of 10 boys out of 100 and a simple random sample of 15 girls out of 150. If the whole sample were selected randomly, there is only a 17% probability that it would have been 10 boys and 15 girls. Stratification ensures both genders are represented proportionally in the sample.
It need not be if: the number of samples is small; the elements within each sample, and the samples themselves are not selected independently.
Each member of the population must have the same probability of being included in the sample. Equivalently, each set of elements comprising a sample must have the same probability of being selected.
The sample space consists of 2n ordered n-tuples of the form (X1, X2, ..., Xn) where each Xi = H or T.
use a sample container and drag it to the critter to take in a sample.You can also buy a sample in the auction.Sometimes it does not work when you drag it to a critter as each container only has a certain percentage of success.
depends on the kind of soil, each kind would have different composition, in fact the kind is defined by the percentage of sand,silt and clay it has.
crude oil is just that, crude. It is not required to know the exact composition of crude oil. Each manufacturer of crude oil will have a different combination to each other. -Yeah, but each must contain some identical chemicals, otherwise it wouldn't be oil. -Also it wouldn't be considered a mineral if it didn't have some type of combination of elements.
After 5 half-lives, 3.125% (or 1/2^5) of a radioactive sample remains. Each half-life reduces the sample by half, so after 5 half-lives, there is only a small fraction of the original sample remaining.
One non-destructive technique for identifying and quantifying trace elements in a test sample is X-ray fluorescence (XRF) spectroscopy. This method involves irradiating the sample with X-rays, which causes the atoms to emit fluorescence radiation unique to each element present. By analyzing the energy and intensity of this fluorescence radiation, the composition of trace elements in the sample can be determined without destroying it.
If the Revenue for the week is 2000 and labor cost consists of two workers earning 8 per hour who work 40 hours each, the labor cost as a percentage is 68%.
· Assume that you have 100.0 g sample of the compound · Calculate the amount of each element in the sample · Convert the mass composition of each element to a composition in moles by dividing by the appropriate molar mass
Sometimes a population consists of a number of subsets (strata) such that members within any particular strata are alike while difference between strata are more than simply random variations. In such a case, the population can be split up into strata. Then a stratified random sample consists of simple random samples, with the same sampling proportion, taken within each stratum.
They analyze the star's spectrum. Each element produces characteristic lines in a spectrum.