The average student loan debt for college graduates is $25,750. Suppose that that distribution is normal and that the standard deviation is $11,400. Let X = the student loan debt of a randomly selected college graduate. Round all probabilities to 4 decimal places and all dollar answers to the nearest dollar. a.  What is the distribution of X? X ~ N(,) b   Find the probability that the college graduate has between $33,400 and $38,950 in student loan debt.  c.  The middle 20% of college graduates' loan debt lies between what two numbers?      Low: $      High: $

Today, the waves are crashing onto the beach every 4.6 seconds. The times from when a person arrives at the shoreline until a crashing wave is observed follows a Uniform distribution from 0 to 4.6 seconds. Round to 4 decimal places where possible. a. The mean of this distribution is crash onto the beach exactly 3.7 seconds after the person arrives is P(x 3.7) b. The standard deviation is c. The probability that wave will d. The probability that the e. The probability that it will take longer than 1.22 seconds for the wave to crash onto the beach after the person arrives is wave will crash onto the beach between 0.9 and 3.7 seconds after the person arrives is P(0.9 1.22) = g, 26% of the time a person will wait at least how long before the wave crashes in? seconds. h Find the minimum for the lower quartile. seconds

The average student loan debt for college graduates is $25,250. Suppose that that distribution is normal and that the standard deviation is $10,650. Let X = the student loan debt of a randomly selected college graduate. Round all probabilities to 4 decimal places and all dollar answers to the nearest dollar.a.  What is the distribution of X? X ~ N b   Find the probability that the college graduate has between $22,150 and $27,500 in student loan debt.  c.  The middle 30% of college graduates' loan debt lies between what two numbers?     Low: $     High: $

The average student loan debt for college graduates is $26,000. Suppose that that distribution is normal and that the standard deviation is $14,950. Let X = the student loan debt of a randomly selected college graduate. Round all probabilities to 4 decimal places and all dollar answers to the nearest dollar.a.  What is the distribution of X? X ~ N(,)b   Find the probability that the college graduate has between $29,200 and $35,150 in student loan debt. c.  The middle 10% of college graduates' loan debt lies between what two numbers?     Low: $     High: $

Assume that for the population of all unemployed individuals in Minnesota, the population mean length of unemployment is 19 weeks and that the population standard deviation is 2 weeks. Suppose you would like to select a random sample of 96 unemployed individuals for a follow-up study. Find the probability that the mean of this sample of size is more than 19.4. Round your answer to at least three decimals.

The average amount of money spent for lunch per person in the college cafeteria is $6.44 and the standard deviation is $2.2. Suppose that 14 randomly selected lunch patrons are observed. Assume the distribution of money spent is normal, and round all answers to 4 decimal places where possible. a. What is the distribution of X? X N( b. What is the distribution of ? I ~ N( c. For a single randomly selected lunch patron, find the probability that this patron's lunch cost is between $7.038 and $7.392.

The average student loan debt for college graduates is $25,050. Suppose that that distribution is normal and that the standard deviation is $10,900. Let X = the student loan debt of a randomly selected college graduate. Round all probabilities to 4 decimal places and all dollar answers to the nearest dollar.a.  What is the distribution of X? X ~ N(Correct,Correct) b   Find the probability that the college graduate has between $17,600 and $32,450 in student loan debt. c.  The middle 30% of college graduates' loan debt lies between what two numbers?     Low: $     High: $

The average student loan debt for college graduates is $25,350. Suppose that that distribution is normal and that the standard deviation is $12,200. Let X = the student loan debt of a randomly selected college graduate. Round all probabilities to 4 decimal places and all dollar answers to the nearest dollar. a.  What is the distribution of X? X ~ N b   Find the probability that the college graduate has between $8,950 and $24,350 in student loan debt. c.  The middle 10% of college graduates' loan debt lies between what two numbers?

Suppose the mean weight of carryion bags has a normal distribution with a mean of 7.4 pounds, with a standard deviation 2.2 pounds. Find the probability that the mean weight of a sample of 25 bookbags will exceed 7 pounds.   a. .182   b. .629   c. .572     d. None of the other 4 answers   e. .818

The average student loan debt for college graduates is $25,600. Suppose that that distribution is normal and that the standard deviation is $11,400. Let X = the student loan debt of a randomly selected college graduate. Round all probabilities to 4 decimal places and all dollar answers to the nearest dollar.b   Find the probability that the college graduate has between $13,550 and $33,450 in student loan debt. c.  The middle 10% of college graduates' loan debt lies between what two numbers?     Low: $     High: $