MATH 251 Final

February 20, 2006

WARNİNG: Calculators, Z table and 2 pages of summaries are allowed to be used during the exam. Please type your answers between the gaps of two questions. If the gap is not enough for your answers you can use the back of the pages.

 

Questions

 

1.       A Survey of commercial buildings served by the ISKI was concluded in 2002. One question asked what main heating fuel was used and another asked the year the commercial building was constructed. A partial cross-tabulation of the findings follows.

           

           

 

Fuel Type

Year Constructed

Electricity

Natural Gas

Oil

Propane

Other

1993 or Less

1994-1996

1997-1999

2000-2002

40

24

37

48

183

26

38

70

12

2

1

2

5

2

0

0

7

0

6

1

 

a)       Complete the cross-tabulation by showing the row totals and column totals.(8P)

b)       Show the frequency distributions for year constructed and for fuel type. (8p)

c)       Prepare cross-tabulation showing column percentages. (9p)

 

            Solution: a)

 

 

Fuel Type

 

Year Constructed

Electricity

Natural Gas

Oil

Propane

Other

Total

1993 or Less

1994-1996

1997-1999

2000-2002

40

24

37

48

183

26

38

70

12

2

1

2

5

2

0

0

7

0

6

1

247

54

82

121

Total

149

317

17

7

14

504

                        b)

           

Year Constructed

FD

FUEL TYPE

FD

1993 or Less

1994-1996

1997-1999

2000-2002

247/504

54/504

82/504

121/504

Electricity

Natural Gas

Oil

Propane

Other

149/504

317/504

17/504

7/504

14/504

 

                        c)

           

 

Fuel Type

Year Constructed

Electricity

Natural Gas

Oil

Propane

Other

1993 or Less

1994-1996

1997-1999

2000-2002

40/149*100

24/149*100

37/149*100

48/149*100

183/317*100

26/317*100

38/317*100

70/317*100

12/17*100

2/17*100

1/17*100

2/17*100

5/7*100

2/7*100

0

0

7/14*100

0

6/14*100

1/14*100

Total

100

100

100

100

100

 

 

 

 

 

2.        

9,0

15,8

17,3

12,8

5,0

19,6

52,7

31,1

12,2

30,3

22,9

17,3

9,6

14,5

14,7

 

a)       Provide a five-number summary (6p)

b)       Compute the lower and upper limits (6p)

c)       Do there appear to be outlier? (6p)

d)       Show a box-plot (7p)

 

Solution:

a) 5      9          9,6       12,2      12,8      14,5      14,7      15,8      17,3      17,3      19,6      22,9      30,3      31,1      52,7           

We can order them like above so:

Smallest Number: 5       Q1:12,2            Q3:22,9            Q2(median)=15,8

b) LL=Q1-1,5*IQR=12,2-1,5*10,7=12,2-16,05=-4,3           UL=Q3+1,5*10,7=22,9+1,5*9,7=21,9+14,55=38,95

c) yes There is an outlier and it is 52,7 since it is bigger than the UL

See The Link

 

 

3.       The manager of a furniture store sells from 0 to 4 armchairs each week. On the basis of past experience, the following probabilities are assigned to sales of 0,1,2,3, or 4 armchairs: P(0)=0,08; P(1)=0,32; P(3)=0,30; and P(4)=0,12

 

a)       Are these valid probability assignments? Why or Why not? (9p)

b)       Let A be the event that 2 or fewer are sold in one week, find P(A) (8p)

c)       Let B be the event that 4 or more are sold in one week, find P(B) (8p)

 

Solution:

a)       if P(2)=0,18 then these are valid probability assignments because the total of all probabilities must be equal 1 in order to make a valid probability assignment.

b)       P(X<=2)=P(0)+P(1)+P(2)=0,08+0,32+0,18=0,58

c)       P(X>=4)=P(4)=0,12 since the probability is 0 when X>4

 

4.       A highway engineer who is studying the number of accidents at a busy intersection has determined that accidents occur at the rate of 2,5 per month

a)       Find the probability that none occur in 2 month. (8p)

b)       Find the probability that more than one occurs in a given month (8p)

c)       Find the mean, variation and standard deviation (9p)

 

Solution:

a)

b)

c)

 

 

5.       Suppose we are interested in bidding on a piece of land and we know there is one other bidder. The seller has announced that the highest bid in excess of $10,000 will be accepted. Assume that the competitor’s bid x is a random variable that is uniformly distributed between $10,000 and $15,000. ( this problem belongs to Prof. Roger Myerson of Northwestern University)

 

a)       Suppose you bid $12,000. What is the probability that your bid will be accepted? (8p)

b)       Suppose you bid $14,000. What is the probability that your bid will be accepted? (8p)

c)       What amount should you bid to maximize the probability that you will get the property? (9p)

Solution:

a)       If the competitor’s bid X is a uniform distribution and changes between $10,000 and $15,000 than the probability of winning of the bid with $12,000 is equivalent to Competitors bids less then $12,000 i.e. P(X<$12,000)=($12,000-$10,000)/($15,000-$10,000)=$2,000/$5,000=0,4

b)       Same approach as part a. P(X<($14,000-$10,000)/$15,000-$10,000)=4/5=0,8

c)       $15,000 bids guarantees the property since P(X<=15,000)=1

 

6.       10% of students in a university are married. A random sample of 3 students is selected. ‘x’ is the random variable to denote the number of married students in the sample

 

a)       Write down the probability distribution of x (13p)

b)       Calculate the mean and the variance of x (12p)

 

Solution

a)

b) E(X)=3.0,1=0,3          V(X)=3.0,1.0,9=0,21

 

7.       According to the DİE, the average weekly pay for a Turkish production worker was 112 YTL in 1998. Assume that available data indicate that wages are normally distributed with 21YTL

a)       What is the probability that the worker earn between 100YTL and 140YTL (8p)

b)       How much does a production worker have to earn to be in the top 20% of wage earners? (9p)

c)       For a randomly selected production worker, what is the probability the worker earns less than 71YTL  per week (8p)

 

 

Solution

a)       Let the average weekly payment be X then XN(112,21)

            b)

           

            c)

           

 

8.       An auto insurance company charges younger drivers a higher premium than it does older drivers because younger drivers as a group tend to have more accidents.  The company has 3 age groups: Group A includes those under 25 years old, 22% of all its policyholders.  Group B includes those 25-39 years old, 43% of all its policyholders, Group C includes those 40 years old and older.  Company records show that in any given one-year period, 11% of its Group A policyholders have an accident.  The percentages for groups B and C are 3% and 2%, respectively.

            a) What percent of the company’s policyholders are expected to have an accident during the        next 12 months? (12p)

            b)   Suppose Mr. X has just had a car accident.  If he is one of the company’s policyholders,        what is the probability that he is under 25? (13p)

            Solution

a)        

b)