• Sonuç bulunamadı

Let X be the lifetime of the item

N/A
N/A
Protected

Academic year: 2021

Share "Let X be the lifetime of the item"

Copied!
4
0
0

Yükleniyor.... (view fulltext now)

Tam metin

(1)

MCB1007 Introduction to Probability and Statistics Fall 2017-2018

Final Exam

December 18, 2017

No:

Name:

Section:

Justify your answers to get full credit − Exam Duration 90 Minutes 1) An expensive item is being insured against early failure. The lifetime of the item

is normally distributed with an expected value of 7 years and a standard deviation of 2 years. The insurance will pay a dollars if the item fails during the first or second year and a/2 dollars if the item fails during the third or fourth year. If a failure occurs after the fourth year, then the insurance pays nothing. How to choose a such that the expected value of the payment per insurance is $50?

Answer. Let X be the lifetime of the item. The expected value of the payment per insurance is

aP (X ≤ 2) + 1

2aP (2 < X ≤ 4) = aP



Z ≤ 2 − 7 2

 +1

2aP 2 − 7

2 ≤ Z < 4 − 7 2



= aP (Z ≤ −2.5) + 1

2aP (−2.5 ≤ Z < −1.5)

= a(0.5 − 0.4939) + 1

2a(0.4938 − 0.4332)

= a(0.0062 + 0.0303) = 0.0365a.

Thus

0.0365a = 50 ⇒ a = 1369.863014.

Hence the value $1370 should be taken for a.

1 / 10

2 / 10

3 / 10

4 / 10

5 / 10

6 / 10

7 / 10

8 / 10

9 / 10

10 / 10

P /100

2) The probability that a drug cures a patient is 90%. Use a normal distribution to approximate the probability that at least 56 out of 60 people who take the drug are cured.

Answer. Since nθ = 60 ×0.90 = 54 ≥ 5 and n(1−θ) = 60×0.10 = 6 ≥ 5, the Binomial Distribution can be considered normal with µ = nθ = 60 × 0.90 = 54 and σ = pnθ(1 − θ) =√

60 × 0.90 × 0.10 = 3515. Thus

P (X ≥ 56) = P (X > 55.5) ≈ P Z > 55.5 − 54

3 15 5

!

= P Z >

√15 6

!

= P (Z > 0.65)

≈ 0.5 − 0.2422 = 0.2578.

(2)

3) A bank manager wants to know the mean amount of mortgage paid per month by homeowners in an area. A random sample of 120 homeowners selected from this area showed that they pay an average of 1575$ per month. The population standard deviation of such mortgages is 215$.

a) Find a %97 confidence interval for the mean amount of mortgage paid per month by all homeowners in this area.

Answer. For zα/2 = 2.17, σ = 215, n = 120, ¯x = 1575 we have

x − z¯ α/2 σ

√n < µ < ¯x + zα/2

√σ n

1575 − 2.17 215

√120 < µ < 1575 + 2.17 215

√120 1532.41 < µ < 1617.59.

b) With what degree of confidence could we say that the mean amount of mortgage paid per month is 1575 ± 34.

Answer. Since

34 = zα/2 215

√120 ⇒ zα/2= 34√ 120

215 = 1.73 the degree of confidence is

2 × 0.4582 = 0.9164.

c) What should be the minimum sample size, if error does not exceed 35?

Answer.

35 ≥ 2.17215

√n ⇒√

n ≥ 2.17 × 215

35 ⇒ n ≥ 2.17 × 215 35

2

= 177.69 nmin= 178.

(3)

4) Number of customers who visited a company that is set up 13 days ago are recorded in the following table. Estimate mean number, median and the modal class of customers.

Number of Days Number of Customers

2 − 4 14

5 − 7 13

8 − 10 3

11 − 13 20

Answer. Mean: ¯x = 14 × 3 + 13 × 6 + 3 × 9 + 20 × 12

50 = 7.74.

Median: 4.5 + 7.5 − 4.5

13 × 11.5 = 7.15.

Modal Class: 11 − 13.

5) From the set of numbers {1, 5, 9} a random sample of size 2 will be selected without replacement.

a) Find the mean and the standard deviation of the population Answer. f (x) = 1

3, x = 1, 5, 9.

µX = E(X) =P

xxf (x) = 1 + 5 + 9 3 = 5, E(X2) =P

xx2f (x) = 12+ 52+ 92

3 = 107

3 , σX =pE(X2) − (E(X))2 =r 107

3 − 52 = 4√ 6

3 = 3.27.

b) Find the mean and the standard deviation of the sampling distribution Answer.

(x1, x2) (1, 5) (1, 9) (5, 9)

¯

x 3 5 7

¯

x 3 5 7

f (¯x) 1/3 1/3 1/3 µx¯ = µx= 5,

σx¯ = σX

√n

r N − n N − 1 =

4 6

3

2

r 3 − 2

3 − 1 = 2√ 6

3 = 1.63.

(4)

6) There are 300 employees in a company, 240 of whom are trade union member. 6 employees will be selected randomly among all employees for the commission, what is the probability that 4 of which are trade union member?

Answer. Hypergeometric distribution with parameters N = 300, M = 240, n = 6 and x = 4:

P (X = 4) =

240 4

 60 2



300 6

 = 0.2478.

7) A dry cleaner receives 3 complaints on average in a day. What is the probability that this dry cleaner receives 10 complaints in a week.

Answer. Poisson distribution with parameters λ = 3 × 7 = 21 and x = 10:

P (X = 10) = 2110× e21

10! = 0.003485.

Referanslar

Benzer Belgeler

3 ON A HIGHLY ACCURATE APPROXIMATION OF THE FIRST AND PURE SECOND DERIVATIVES OF THE LAPLACE EQUATION IN A RECTANGULAR PARALLELEPIPED

Mr Irfan Gündüz started his speech by stating that the Istanbul Grand Airport (IGA) is aimed to be opened in the beginning of 2018.. He further stated the new airport project

We aimed here in this study was to evaluate the effect of the platelet count and volume-related indices, such as the mean platelet volume (MPV), platelet distribution width

Böyle bir disiplinle çalıştığım, hep patron­ dan önce işe gelip, patrondan sonra ayrılmak ge­ leneğini sürdürdüğüm için bir an bunaldığımı hissettim ve

Predict the values of the dependent variable using maximum a and b, minimum a and b, mean a and b, mode a and b, and median a and b

normally distributed with a mean of 7 years and a standard deviation of 2 years. The insurance will pay a dollars if the item fails during the first or second year and a/2 dollars

Given 6 pictures of different people, and 3 descriptions of 3 of these pictures, the student will be able to identify which description belongs to which picture and be able

Deniz gücü olarak adımızın okunmadığı 1911-1913 yılları arasında Hamidiye savaş gemimiz Akdeniz ve Ege’de ha­ rikalar yarattı.. Binbaşı Rauf Bey'in