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Which of these variables are discrete and which are continuous random variables?
a. The number of new accounts established by a salesperson in a year.
b. The time between customer arrivals to a bank ATM.
c. The number of customers in Big Nick's barber shop.
d. The amount of fuel in your car's gas tank.
e. The number of minorities on a jury.
f. The outside temperature today.
Explain your findings (including the logic of comparing within-group to between-group population variance estimates, how each of these is figured, and the F distribution).
Failure times for a randomly failing component are 3.3, 14.3, 27.1, 41.3, and 92.2 hours. Find the MTTF and standard deviation using: a) moment estimation. b) maximum likelihood estimation.
The mean of land and buildings per acre from a sample of farms was $637, with a standard deviation of 26. Use Empirical Rule to find approximate percentage of acreage whose values were between $ 661 and $663.
Determine the probability that the sample mean is 20 or higher? What is the probability that the sample mean falls within 2 points of the population mean?
Explain the strength of relationship between the assets?
The superintendent of a printing plant has selected a random sample of 100 rolls of paper from a large shipment. The average length of the sample rolls is 416 feet, with a variance of 2704 feet.
Now make a scatter plot of data from 1982 to 1998 (again, use years since 1800). Determine a linear, power, or exponential model that explains the crude oil production during this time period.
Compute the expected return and standard deviation of each of the two securities. Assume Miss Maple invested $2,500 in Security A and $3,500 in security B. Calculate the expected return and standard deviation for her portfolio.
To find out the efficiency of the current ticket operation, Mike wishes to examine several queue operating features.
If someone had x=2 job changes, what does the least squares line predict for y, the annual salary?
Given that a particular student tests negative for stress, what is the probability that the test results are correct, and that this student is not overstressed?
If sales is the variable you are trying to explain and you have 2 independent variables of color and price. The color coefficient is 100, and the price coefficient is -200. You have an intercept coefficient of 999 and an r-squared value of .2706. ..
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