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Consider two independent random variables Xsub1 and Xsub2 having same Cauchy distribution
f(x)=1/(pi(1+x^2)) from negative infinity to positive infinity.
By using Theorem 7.2 to determine the joint probability density of Ysub1=Xsub1+Xsub2
and Ysub2=Xsub1-Xsub2 and then finding the marginal density of Ysub1.
question when certain quantities are measured the last digits tend to be uniformly distributed but if they are
In the past an autoobile repair shop owner has noticed that sales increased ats certain economic indicators decreased. Calculate the expected sales increase and the standard deviation.
Draw the histogram for these data using an initial class boundary of and a class width of . Note that you can add or remove classes from the figure. Label each class with its endpoints.
Elucidate correlation coefficient of determination R-square also Adjusted R-square. A computer utility was implimentated to the data collected in a study of a generalized health.
Suppose also that the mean score on test A is 85, and the standard deviation is 10; the mean score on test B is 90, and the standard deviation is 16; the scores on the two tests have a bivariate normal distribution; and the correlation of the two ..
The International Agricultural Producers publishes annual data on various selected farm products. Shown above are the unit productions figures.
Find the probability that for a randomly selected office hour, the number of student arrivals is 3. (b) What is the probability that he will get at most 5 students in a randomly selected office hour?
Standard deviation of 30 lb. Find the percentage of such weights between 190 lbs and 225 lbs. among 400 men aged 18 to 74, how many are expected to weigh between 190 lbs and 225 lb.
Compute the coefficient of determination, r 2 , and interpret its meaning.
Show the decision rule graphically. Use the .05 significance level.
The sample resulted in a mean trading volume of > = 39.48. Assuming a population standard deviation of 15.07, compute the margin of error for a 95% confidence interval for mu.
Give a 99% confidence interval for the rating of the table that would be given by an average member of the population of regular customers. Assume normality.
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