MATH 251-B Midterm

November 2, 2005

Questions

 

1.       The following data set provides a snapshot of the financial performance of Ameritech Corporation (Barron’s, December 29, 1997)

 

 

1993 ($)

1994 ($)

1995 ($)

1996 ($)

Earning Per Share

Revenues (billion)

Net Income (billions)

Book Value Per Share

2,78

11,87

1,51

14,35

2,13

12,57

1,17

10,98

3,41

13,43

1,89

12,67

3,83

14,92

1,12

13,98

 

 

a.       How Many Variables Are There?

b.       Are the data qualitative or quantitative

c.        Are they cross-sectional or time series data?  Why?

 

2.       The US Bureau of the Census publishes a variety of information on the US population.

Following is the percent frequency distribution of the US population by age as of July 1, 2000(The World almanac and Book of Facts 2000)

 

 

Age

Percent Frequency

0-13

14-17

18-24

25-34

35-44

45-54

55-64

65 or over

20,0

5,7

9,6

13,6

16,3

13,5

8,7

12,6

Total

100,0

 

a.       What percentage of the population is 34 years old or less?

b.       What percentage of the population is over 34 years old?

c.        What percentage of the population is between 25 and 54 years inclusively?

d.       The total population is 275 million. How many people are less than 25 years old?

 

3.        

 

 

Occupation

Satisfaction Score

1

Lawyer

42

11

Lawyer

53

2

Physical Therapist

86

12

Cabinetmaker

65

3

Lawyer

42

13

Lawyer

74

4

Systems Analyst

55

14

Physical Therapist

52

5

Lawyer

38

15

Physical Therapist

78

6

Cabinetmaker

79

16

Systems Analyst

44

7

Lawyer

44

17

Systems Analyst

71

8

Systems Analyst

41

18

Lawyer

50

9

Physical Therapist

55

19

Lawyer

48

10

Systems Analyst

66

20

Cabinetmaker

69

 

a.       Provide a cross-tabulation of occupation and job satisfaction score.

b.       Compute the row percentage for your cross-tabulation in part (a)

c.        Compute the Frequency distribution for occupation

d.       Compute the Relative Cumulative Frequency distribution for occupation

               

4.       Suppose IQ scores have a bell-shaped distribution with a mean of 90 and St. Dev. of 10.

a.       What percentage of people has an IQ score between 80 and 100?

b.       What percentage of people has an IQ score between 70 and 110?

c.        What percentage of people has an IQ score more than 120?

 

 

 

 

 

 

5.       4,00       4,12        3,82        4,00        4,56        2,14        2,32        3,11        4,88        3,05

 

a.       Provide a five-number summary

b.       Compute the lower and upper limits

c.        Is there any outliers?

d.       Show the box plot of above variables

 

6.       Five observations taken for two variables below.

 

x

4     6    11   3  16

y

50  50 40  60  30

                                              

a.       Develop a scatter diagram and interpret it

b.       Compute and interpret covariance

c.        Compute the sample correlation coefficient for the data.

d.       What does this value tell us about the relationship between two variables?

 

Not: You can use your simple calculators. Cell phones are not allowed in this exam. You can use 1 sheet summaries of your class notes.  Each question is 20 point. GOOD LUCK

 

Mehmet Emin Şan

 

 

Solutions

 

 

1.

                               a) 16 variables

                               b) Quantitative data because data indicates how much or how many of something.

c)  Cross-Sectional because data collected at same or approximately the same point in time.

                              

2.           

                a) 20%+5,7%+9,6%+13,6%=48,9% of population is less then or equal to 34 years old

                b) 16,3 %+13,5%+8,7%+12,6%=51,1% population is over 34 years old

                c) 13,6 %+16,3%+13,5%=43,4% population is between 25 and 54 years old

d) 20%+5,7%+9, %6=35,6%  population is less than 25 years old so 275 million*0,356=97,075 million people less then 25 years old.

 

3.               a) I picked 5 as my class number so Class Width=(86-38)/5 = 9,6 so My Class Width is 10

 

Score

L

PT

SA

CM

Total

30-39

40-49

50-59

60-69

70-79

80-89

1

4

2

0

1

0

0

0

2

0

1

1

0

2

1

1

1

0

0

0

0

2

1

0

1

6

5

3

4

1

Total

8

4

5

3

20

 

               

                b) 

 

Score

L

PT

SA

CM

Total

30-39

40-49

50-59

60-69

70-79

80-89

1/1*100=100

4/6*100=66,66

2/5*100=40

0

1/4*100=25

0

0

0

2/5*100=40

0

1/4*100=25

1/1*100=100

0

2/6*100=33,33

1/5*100=20

1/3*100=33,33

1/4*100=25

0

0

0

0

2/3*100=66,66

1/4*100=25

0

1/1*100=100

6/6*100=100

5/5*100=100

3/3*100=100

4/4*100=100

1/1*100=100

 

                                              

 

 

 

 

c) and d)

               

Occupation

F

RF

CRF

L

PT

SA

CM

8

4

5

3

0,4

0,2

0,25

0,15

0,4

0,6

0,85

1,00

 

4.        

a) Z-score for 100 is (100-90)/10 =1 since the shape of the data is given as bell-shaped then by empirical rule 68% got the IQ scores between 90 and 100

b) Z score we can calculate like above and we get 2 by empirical rule 95% got the score between 70 and 110

c) Z-score for 120 is 3 so by empirical rule almost all members are between 60 and 120 there fore almost no elements more than 120 and less then 60.

                               5.

                                               a) five-number summary

 

                                               Q1=3,05                               Q2= 3,91               Q3=4,12                               Smallest # 2,14   Largest# 4,88

                                               b) LL= Q1-1,5*(IQR)           IQR=Q3-Q1=4,12-3,05=1,07           so LL=1,45

UL=Q3+1,5*(IQR)              UL=5,72

d) BOX PLOT

c) According to Box Plot above there are no outliers.

 

                               6.

                                               a)

                                                              

                                   As we can see from the picture above there is a negative relation between x and y

b) Covariance is -48 (but you must calculate the number. Providing only number is no credit)

 

c)       rxy= -0,77  again providing only the number is not acceptable.

d)       so there is a strong – relation between two variables

 

 

Midterm Statistics

                                              

                                                                                                            

Math251-B 1. Midterm

Only Attanded Student

Mean

42,69230769

Median

42,5

Mode

40

Standard Deviation

25,25512895

Sample Variance

637,8215385

Range

97

Minimum

0

Maximum

97

Count

26

First Quartile

23

Second Quartile

60

 

 

Math251-B 1. Midterm

With Everyone

 

Mean

28,46153846

Median

21

Mode

0

Standard Deviation

28,90169013

Sample Variance

835,3076923

Range

97

Minimum

0

Maximum

97

Count

39

First Quartile

0

Second Quartile

52