Assertion: sample | /r/HasProperty | taken
Facets:
value: from some population
type: OTHER
value: repeatedly
type: TEMPORAL
value: from m
type: OTHER
value: ideally
type: DEGREE
value: from each stratum
type: OTHER
Source sentences:
text: So if an individual is in one sample, then it has the same likelihood of being in the next sample that is taken.
text: Therefore, it is more convenient to use our second conceptualization of sampling distributions, which conceives of sampling distributions in terms of relative frequency distributions — specifically, the relative frequency distribution that would occur if samples of two balls were repeatedly taken and the mean of each sample computed.
text: Take another example, suppose that a sample of size sixteen (N=16) is taken from some population.
text: Specifically, the relative frequency distribution that would occur if samples of two balls were repeatedly taken and the mean of each sample computed.
text: For example, suppose that a sample of size sixteen (N=16) is taken from some population.
text: In choice-based sampling, the data are stratified on the target and a sample is taken from each stratum so that the rare target class will be more represented in the sample.
text: Thus, to estimate p in the population, a sample of n individuals could be taken from the population, and the sample proportion, p̂, calculated for sampled individuals who have brown hair.
text: There is an extremely large number of samples that can be taken from a population.
text: A sample of \(84\) is taken.
text: In the case where the material is in a heap, scoop or thief sampling needs to be done, which is inaccurate: the sample should ideally have been taken while the powder was flowing towards the heap.p.
text: Furthermore, once the sample has been taken the sampling error associated with the measured results can be computed.
text: If a larger sample is taken, the variance will decrease with the square root of the sample size.
text: A sample is taken from a single location in the distribution system and comes back clear.
text: If you push the "animated sampling" button again, another sample of five will be taken, and again plotted on the second graph.
text: When a sample of n observations is taken from a normally distributed population having mean M and standard deviation D, the sample mean, m, and the sample standard deviation, d, will differ from M and D because of the randomness of the sample.
text: Before a sample is taken, members of study population need to be identified by constructing a list called a sampling frame.
text: A sample of 1000 students was taken and the number of students who used the Internet for their school during the past year was recorded.