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Assume that the Y -values in the population are related to an auxiliary variable x through the ratio model Yi = βxi + i, for i = 1, 2,...,N, where the random errors i are independent with E( i) = 0 and var( i) = viσ2 R, in which the vi are known and β and σ2 R are unknown constants. A simple random sample of size n is selected. The best linear unbiased predictor of the population total τ is τˆ = Ys + βs, where Ys is the total of the Y -values in the sample and xs is the total of the x-values not in the sample and
When the variance of Yi is proportional to xi, that is, vi = xi, the best linear unbiased estimator β is the ratio estimator
Compute the value of with this estimator with the data in Example 1.
(b) Show that when the variance of Yi is proportional is the mean-of-the-ratios estimator
Compute the value of τˆ with this estimator with the data in Example 1.
sentinal phoneback answers customer enquiries with telephone calls. when they timed a sample of 40 calls they found a
Determine (a) the 90% confidence limits, and (b) the 97% confidence limits for an estimate of the mean diameter of all the rivets produced by the machine in a day.
in order to be accepted into a jb university applicants must score within the top 5 on the sat exam. given that the
Evaluate this correlation. What does this correlation tell us about the relationship between these two instruments?
a statistics practitioner would like to estimate a population mean to within 50 units with 99 confidence given that the
The bombers success rates for bomber A, B and C are: 30%, 45% and 60% respectively. Find the probability that:Bomber A will succeed, but bomber B and C will fail.
Construct a 99% confidence interval for the difference in the proportions of college freshmen and sophomores who purchased used textbooks.
When sampling is from a population with standard deviation C = 55, using a sample of size n = 150, what is the probability that X will be at least 8 units away from the population mean µ,?
This project applies linear regression models to the estimation of automobile prices. The dependent variable is the automobile prices. The independent variables are the variables to explain the price.
from the output below is it safe to assume that the sample data used to complete this test is from a normal
Normal adult Mean Temperature is 98.2 and standard deviant is 0.62 with normal distribution. If 16 people are randomly selected determine the probability that their mean body temp is below 98.5 degrees.
What is the probability of obtaining 4 ones in a row when rolling a fair, six-sided die? Interpret this probability. Suppose that E and F are two events and that P(E and F) = 0.21 and P(E) = 0.4. What is P(FE)?
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