In any year, the weather can inflict storm damage to a home. From year to year,...
6. (10 pts) In any year, the weather can inflict storm damage to a home. From year to year, the damage is random. Let Y denote the dollar value of damage in any given year. Suppose that in 95% of the years Y-30 (no damage), but in 5% of the years Y-$20,000. a. What is the mean and standard deviation of the damage in any year? What is the and standard deviation of the damage in any year? a. b....
Problem 1: In any year, the weather can inflict storm damage to a home. I'rom year to year, the damage is random. Suppose that in 95% of the years the damage is $0, but in 5% of the years the damage is $20,000. Write down the probability distribution of the damage. (15 points) What is the mean of the damage in any year? (15 points)
Let y be a random variable. In a population, ay = 119 and 62 = 54. Use the central limit theorem to answer the following questions. (Note any intermediate results should be rounded to four decimal places) In a random sample of size n = 100, find Pr( < 120). Prý <120) = (Round your response to four decimal places) In a random sample of size n = 72, find Pr (120< < 125). Pr(120 < y < 125) =...
An area on the Colorado River is subject to periodic flood damage that occurs, on the average, every two years (i.e., probability of flooding in any year is 0.5) and results in a $2,200,000 loss. It has been proposed that the river channel be improved by straightening and deepening it at a cost of$2,400,000, to reduce the annual probability of flooding to 0.364 during a period of 18 years before it would have to be deepened again. This procedure would...
A random sample of 51 adult coyotes in a region of northern Minnesota showed the average age to be x = 2.03 years, with sample standard deviation s = 0.82 years. However, it is thought that the overall population mean age of coyotes is μ = 1.75. Do the sample data indicate that coyotes in this region of northern Minnesota tend to live longer than the average of 1.75 years? Use α = 0.01. (a) What is the value of...
The last four years of returns for a share are as follows: Year 1 4 2 Return -4.4% 12.3% 4.1% 27.8% a. What is the average annual return? b. What is the variance of the share's returns? c. What is the standard deviation of the share's returns? Note: Enter your answers for the average return and standard deviation as percentages. For the variance, enter your answer as a decimal number %. (Enter your response as a percent rounded to two...
a) The simple linear regression equation that shows the best
relationship between the number of patients and year is (round your
responses to three decimal places).
y= _ + _x
b) Using linear regression the number of patients Dr. Fok will
see in year 11 = _____ patients (round your response to two decimal
places).
c) Using linear regression, the number of patients Dr. Fok will
see in year 12 = _____ patients. (round your response to two
decimal places)....
Suppose that over the past 30 years during any given week of the major-league season, an average of µ = 12 players are hit by wild pitches. Assume that the distribution is normal with a standard deviation of σ =3. For a sample of n = 4 weeks, in which the daily temperature was extremely hot, the weekly average of hit-by- pitch players was M = 15.5. Are players more likely to get hit by pitches during hot weeks? Use...
One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. Square Footage Selling Price ($000s), y 2095 362.9 3122 364.9 1085 183.2 1935 331.9 3149 626.8 2772 370.3 3963 604.3 2170 370.5 2710 440.8 1695 296 1763 267.5 3723 675.7 (a) Which...
2. (-/1 Points) DETAILS DEVORESTAT9 5.E.079.NVA MY NOTES PRACTICE ANOTHER Suppose that for a certain individual, calorie intake at breakfast is a random variable with expected value 600 and standard deviation 40, calorie intake at lunch is random with expected value 900 and standard deviation 100, and calorie intake at dinner is a random variable with expected value 2100 and standard deviation 180. Assuming that intakes at different meals are independent of one another, what is the probability that average...