a. Generate the 1000 revenues and retain the integer portion. b. Obtain a histogram for the data in (a). c. Select a simple random sample of size 30 from this population (use seed 2008). = d. Using this sample, estimate the average and total revenue and the associated variance estimates. e. Construct 95% confidence intervals for the mean and total revenue of the population. f. For this type of distribution, why is a simple random sampling not the best design to yield a precise estimate? Suppose there was an auxiliary information prior to the sampling design, propose an alternate sampling design that can lead to a more precise estimate. Explain how you could do this.

MATLAB: An Introduction with Applications
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5. The revenue (Y) for 1,000 food producing establishments in a country may be
described by an exponential distribution with parameter 2 = 1/(12*10°), use
seed=1999.
a. Generate the 1000 revenues and retain the integer portion.
Obtain a histogram for the data in (a).
b.
c. Select a simple random sample of size 30 from this population (use seed
2008).
=
d. Using this sample, estimate the average and total revenue and the
associated variance estimates.
e. Construct 95% confidence intervals for the mean and total revenue of the
population.
f. For this type of distribution, why is a simple random sampling not the best
design to yield a precise estimate? Suppose there was an auxiliary
information prior to the sampling design, propose an alternate sampling
design that can lead to a more precise estimate. Explain how you could do
this.
Transcribed Image Text:5. The revenue (Y) for 1,000 food producing establishments in a country may be described by an exponential distribution with parameter 2 = 1/(12*10°), use seed=1999. a. Generate the 1000 revenues and retain the integer portion. Obtain a histogram for the data in (a). b. c. Select a simple random sample of size 30 from this population (use seed 2008). = d. Using this sample, estimate the average and total revenue and the associated variance estimates. e. Construct 95% confidence intervals for the mean and total revenue of the population. f. For this type of distribution, why is a simple random sampling not the best design to yield a precise estimate? Suppose there was an auxiliary information prior to the sampling design, propose an alternate sampling design that can lead to a more precise estimate. Explain how you could do this.
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