10 words were picked at random from a story (our population) and the length of each is recorded below.
4, 1, 7, 1, 5, 4, 2, 7, 5, 5
A. Estimate the mean of the unknown sampling
distribution.
B. Estimate the spread of the unknown sampling
distribution.
C. Both A and B.
D. None of the above.
A. The resample and original sample MUST be the same size.
B. The resample and original sample BOTH are taken from the
population.
C. The resample can ONLY use values that were in
the original sample.
D. The resample uses ALL values that were in the original
sample.
(a.) 4, 1, 7, 1, 5, 4, 2, 7, 5, 5
This represents a sample of word lengths.
As we know a sample is a smaller version of a large group means we take some of the random values from the population so that we can calculate inferences from data. It is a subset that contains the characteristics of a larger population.
Whereas, Resampling is used to estimate statistics on a population by sampling a dataset with replacement.
So, this is a sample as we are not creating a new resample from a sample itself by replacement.
(b.)
(c.) option C - Both A and B.
(d.)
A - TRUE
B - FALSE (As the sample is taken from the population and resample is taken from the sample.)
C - TRUE
D - FALSE (As it can use all values or some of them.)
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