Loans. A credit union classifies car loans into one of four categories: the loan has been paid in full F . the account is in good standing G with all payments up to date, the account is in arrears A with one or more missing payments, or the account has been classified as a bad debt B and sold to a collection agency. Past records indicate that each month 10 % of the accounts in good standing pay the loan in full, 80 % remain in good standing, and 10 % become in arrears. Furthermore, 10 % of the accounts in arrears are paid in full, 40 % become accounts in good standing, 40 % remain in arrears, and 10 % are classified as bad debts. (A) In the long run, what percentage of the accounts in arrears will pay their loan in full? (B) In the long run, what percentage of the accounts in good standing will become bad debts? (C) What is the average number of months that an account in arrears will remain in this system before it is either paid in full or classified as a bad debt?
Loans. A credit union classifies car loans into one of four categories: the loan has been paid in full F . the account is in good standing G with all payments up to date, the account is in arrears A with one or more missing payments, or the account has been classified as a bad debt B and sold to a collection agency. Past records indicate that each month 10 % of the accounts in good standing pay the loan in full, 80 % remain in good standing, and 10 % become in arrears. Furthermore, 10 % of the accounts in arrears are paid in full, 40 % become accounts in good standing, 40 % remain in arrears, and 10 % are classified as bad debts. (A) In the long run, what percentage of the accounts in arrears will pay their loan in full? (B) In the long run, what percentage of the accounts in good standing will become bad debts? (C) What is the average number of months that an account in arrears will remain in this system before it is either paid in full or classified as a bad debt?
Solution Summary: The author calculates the percentage of the accounts in arrears paying their loan in full in the long run.
Loans. A credit union classifies car loans into one of four categories: the loan has been paid in full
F
. the account is in good standing
G
with all payments up to date, the account is in arrears
A
with one or more missing payments, or the account has been classified as a bad debt
B
and sold to a collection agency. Past records indicate that each month
10
%
of the accounts in good standing pay the loan in full,
80
%
remain in good standing, and
10
%
become in arrears. Furthermore,
10
%
of the accounts in arrears are paid in full,
40
%
become accounts in good standing,
40
%
remain in arrears, and
10
%
are classified as bad debts.
(A) In the long run, what percentage of the accounts in arrears will pay their loan in full?
(B) In the long run, what percentage of the accounts in good standing will become bad debts?
(C) What is the average number of months that an account in arrears will remain in this system before it is either paid in full or classified as a bad debt?
iid
1. The CLT provides an approximate sampling distribution for the arithmetic average Ỹ of a
random sample Y₁, . . ., Yn f(y). The parameters of the approximate sampling distribution
depend on the mean and variance of the underlying random variables (i.e., the population
mean and variance). The approximation can be written to emphasize this, using the expec-
tation and variance of one of the random variables in the sample instead of the parameters
μ, 02:
YNEY,
· (1
(EY,, varyi
n
For the following population distributions f, write the approximate distribution of the sample
mean.
(a) Exponential with rate ẞ: f(y) = ß exp{−ßy}
1
(b) Chi-square with degrees of freedom: f(y) = ( 4 ) 2 y = exp { — ½/ }
г(
(c) Poisson with rate λ: P(Y = y) = exp(-\}
>
y!
y²
2. Let Y₁,……., Y be a random sample with common mean μ and common variance σ². Use the
CLT to write an expression approximating the CDF P(Ỹ ≤ x) in terms of µ, σ² and n, and
the standard normal CDF Fz(·).
3. We'd like to know the first time when the population reaches 7000 people. First, graph the
function from part (a) on your calculator or Desmos. In the same window, graph the line y =
7000. Notice that you will need to adjust your window so that you can see values as big as
7000! Investigate the intersection of the two graphs. (This video shows you how to find the
intersection on your calculator, or in Desmos just hover the cursor over the point.) At what
value t> 0 does the line intersect with your exponential function? Round your answer to two
decimal places. (You don't need to show work for this part.) (2 points)
Chapter 9 Solutions
Pearson eText for Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences -- Instant Access (Pearson+)
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Discrete Distributions: Binomial, Poisson and Hypergeometric | Statistics for Data Science; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=lHhyy4JMigg;License: Standard Youtube License