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An experiment produces random vector X = [X1 ··· Xk]' with expected value µX = [µ1 ··· µk]' The ith component of X has variance Var[Xi] = σ2i . To estimate µX, we perform n independent trials such that X(i) is the sample of X on trial i, and we form the vector mean
(a) Show M(n) is unbiased by showing E[M(n)] = µX.
(b) Show that the sequence of estimates Mn is consistent by showing that for any constant c > 0,
A study of 40 bowlers showed that there average score was 186 the standard deviation of the population is 6. Find the 95% confidence interval of the mean score for all bowlers.
suppose it is known that 45 of the population are coalition voters 45 are alp voters and 10 vote for greens. suppose it
Iif the sample consits of 16 scores, is the sample mean sufficient to conclude that the treatment has a significant effect? use a two tailed test with .05.
Find the maximum total allowable weight if you want a 0.975 probability that this maximum will not be exceeded when 16 males are randomly selected.
Probability using Pareto chart - Evaluate the probability of randomly selecting an adult from the sample who doesn't always eat healthy foods because he or she has no time to cook or is confused about nutrition.
The mean number of cups was 5 with a standard deviation of 1.5 cups. The distribution was normal. What proportion of students drank 7 or more cups of coffee per day?
from a population that is not normally distributed and whose standard deviation is not known a sample of 6 items is
Continuing Problem 11.4.3, find the optimal filter h = [h0 h1] based on M = 2 samples of Yn. What value of c minimizes the mean square estimation error?
Complete hypothesis test using a 5% level for risk with directional research hypothesis.
A researcher follows 200 women who exercise regularly and 300 women who do not exercise regularly. After 30 years of follow-up, 20 of the women in the exercise group are diagnosed with osteoporosis while 30 women in the non-exercise group are dia..
A recent survey by the insurance company showed the following probabilities for the number of bedrooms in each insured home. Find the standard deviation for the distribution.
Chance of tripling your investment in a year and a .3 chance of halving your investment in a year. What is the standard deviation of the rate of return on this investment?
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