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Suppose the distribution of speed at one location on a highway is bell shaped with a mean of 73 mph and a standard deviation of 4 mph. About 95% of vehicles at that location travel between
A) 65 and 81 mph
b) 69 and 77 mph
c) 61 and 85 mph
d) 72.6 and 73.4 mph
Now assume that θ2 > 0 (with probability 1), and let δ1 hat be the Bayes estimator of 1/θ2 under the setup above. Show that δ1δ2 hat is the bayes estimator of θ1/θ2 , given x = (X1, X2).
Suppose that distinct integer values are written on each of 3 cards. These cards are then randomly given the designations A, B, and C. The values on cards A and B are then compared. If the smaller of these values is then compared with the value on..
Determine the probability that adult owns stock and has some college education? Determine the probability that adult owns stock or has some college education?
given that z is standard normal random variable compute the following probabilitiesa p-1lt-zlt-0b
I scheduled three calls for a particular day, and each call has a probability of 0.5 of making a sale. What are his probabilities of making (a) three sales, (b) two or more sales, (c) no sales?
question read the attached articles and search for at least 3 more references to design and implement a study to find
If J&B reduces the calendar price to $1 at the end of July and can sell all surplus calendars at this price, how many calendars should be ordered?
Assume that probanility that dimond will be stolen is .005, and let x denote insurance company's profit. Compute insurance company's expected profit.
The distribution of SAT scores is normal with a m=500 and a standard deviation of o=100. What SAT scores (X values) separate
Suppose that the distribution of calories is approximately normal with o = 10. Find the probability that a randomly selected chocolate bar will have a) Between 200 and 220 caloies.
Discuss why the 90% and 99% confidence intervals are different. What would you expect to happen to the confidence interval in part A if the sample size was increased?
If probability of demand for 50 units is .40, probability of demand of 100 units is .50, and probability of demand for 150 units is .10, what lot size would you recommend if the goal is to maximize expected profit?
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