Assertion: sample | /r/HasProperty | selected
Facets:
value: randomly
type: MANNER
value: from the same population
type: OTHER
value: based on availability
type: CAUSE
value: based on randomization
type: CAUSE
value: from each group
type: OTHER
Source sentences:
text: For example, if the sample of 500 students is selected from the population of 20,000 students of a particular college, then on the basis of this information the value of the sample mean and standard deviation can be computed.
text: But if the data is a Sample (a selection taken from a bigger Population), then the calculation changes!
text: Now imagine that we form groups of ten women, many, many such samples, the members of which are randomly selected (say, using random sampling) from the population of women as a whole, and for each sample we look at the sample mean and make a data set of those means rather than the individual heights.
text: When the samples are selected randomly from the two independent populations, then the mean of the sampling distribution of the difference between the two means, i.e. X͞ 1 – X͞ 2 , denoted by?
text: Then samples are selected from each group using simple random sampling method and then survey is conducted on people of those samples.
text: Sampling Distribution: The value of a statistic varies from one sample to another even if the samples are selected from the same population.
text: Good samples are random samples where any member of the population is equally likely to be selected and any sample of any size n is equally likely to be selected.
text: The difference between the two techniques is whether the sample is selected based on randomization or not.
text: Here the samples are selected based on availability.
text: Since the sample was randomly selected, p - 3 s p = .54 - 3(.0158)