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An experiment produces a zero mean Gaussian random vector X = [X1 ··· Xk] with correlation matrix R = E[XX']. To estimate R, we perform n independent trials, yielding the iid sample vectors X(1), X(2), . . . , X(n), and form the sample correlation matrix
(a) Show (n) is unbiased by showing E[ (n)] = R.
(b) Show that the sequence of estimates (n)is consistent by showing that every element ij(n) of the matrix converges to Rij . That is, show that for any c > 0,
1.an inventor claims that a device increases gas mileage by 4. a test of the device was done by randomly selecting 10
in addition to knowing how many customers will enter your restaurant you will also like to start developing a 99 ci for
Suppose the annual return on XYZ stock follows a normal distribution with mean 0.12 and standard deviation 0.30.
Problem: The long run but not the short run. Our intuition about chance behavior is not very accurate. In particular, we tend to expect that the long-run pattern described by probability will show up in the short run as well. For example, we tend ..
Suppose that the actual mean value in the population is mu =120 , what is the probability of a Type II error (incorrectly accepting a false null hypothesis)?
A survey of random sample of people leaving an amusement park showed an average expenditure number 10.30k for the evening.
the sample space contains 6as and 4bs. what is the probability that a randomly selected set of 3 will include 1a and
How much would he say that he lost in terms of value when his income dropped from $15k to $11k from 2014 to 2015? Draw the value function for Kyle and identify the points corresponding to his value of $15k and $11k.
Let X1,..., Xn be a random sample from a population with the mean μ. What condition must be imposed on the constants c1, c2,..., cn so that c1X1 + c2X2 + ··· + cnXn is an unbiased estimator of μ?
Use the binomial distribution formula to calculate the probability that:
if the correlation between the two independent variables of a regression analysis is 0.11 and each independent variable
when testing for the significance of the slope parameter which of the following are implied by the alternative
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