Decision Science - NMIMS Solved Assignment_April_2021

 

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NMIMS Global Access

 

School for Continuing Education (NGA-SCE)

 

Course: Decision Science

 

Internal Assignment Applicable for April 2021 Examination

 

 

Assignment Marks: 30

 

 

1.      Considering Y as a dependent variable, a regression model is applied with three independent variables X1 X2 and X3. The results of the regression analysis are shown below:


 

 

 

 

 

 

 

Model

R

R Square

Adjusted R Square

 

 

1

 

.969a

.939

 

.930

 

 

 

 

 

ANOVAa

 

 

 

Model

 

Sum of Squares

df

 

Mean Square

F

Sig.

 

Regression

1123.258

 

3

374.419

97.893

.000b

1

Residual

72.671

 

19

3.825

 

 

 

Total

1195.929

 

22

 

 

 

 

a. Dependent Variable: Y

 

b. Predictors: (Constant), X5, X3, X4

 

 

 

 

 

Coefficientsa

 

 

 

Model

Unstandardized Coefficients

Standardized

t

Sig.

 

 

 

Coefficients

 

 

 

B

Std. Error

Beta

 

 

(Constant)

35.681

3.399

 

10.496

.000

X3

-.654

.158

-.986

-4.151

.001

1

 

 

 

 

 

X4

.233

.054

1.111

4.275

.000

X5

.115

.024

.806

4.749

.000

 

a. Dependent Variable: Y

 

 

Answer the following:

 

1.    Define R and R Square.


 

 

2.      What is the significance of F test.

 

3.      Which variable has the highest impact on Y.

 

4.      Write the regression equation.

 

5.      Calculate Y if X1= 10, X2 =20 and X3 =5

 

(10 Marks)

 

 

2.      The monthly sales (number of Cars sold) is recorded of a car dealer. Following ungrouped is available

52

33

70

95

57

61

57

64

54

94

38

61

50

39

94

63

59

31

68

88

93

48

82

82

74

70

92

76

98

91

32

33

31

75

54

48

36

64

63

66

92

98

36

54

71

86

84

55

91

34

64

67

89

78

97

92

53

56

68

55

93

42

51

77

36

93

44

66

63

33

68

79

83

53

86

76

35

40

55

41

36

39

42

96

60

53

38

51

95

56

48

69

49

33

95

37

83

62

96

34

85

32

39

59

77

62

35

34

54

89

36

45

83

34

39

61

88

86

55

33

 

a. Prepare the frequency distribution table showing the class interval (less than 10, 11 to 20, and so on), frequency of each class interval and cumulative frequency.

 

 

b. Calculate the mean, median, mode and quartiles of grouped data.


 

 

 

c. Calculate the standard deviation, variance and range

 

 

d. Make the following diagrams: Histogram, Frequency Polygon, Ogive

 

(10 Marks)

 

 

3.a. It is estimated that 50% of emails are spam emails. Some software has been applied to filter these spam emails before they reach your inbox. A certain brand of software claims

 

that it can detect 99% of spam emails, and the probability for a false positive (a non-spam email detected as spam) is 5%. Now if an email is detected as spam, then what is the

 

probability that it is in fact a non-spam email?                                                                         (5 Marks)

 

 

3.b. The time taken to assemble a car in a certain plant is a random variable having a normal distribution of 20 hours and a standard deviation of 2 hours. What is the probability that a car can be assembled at this plant in a period of time

 

a)  less than 19.5 hours?

 

b)  between 20 and 22 hours?

 

(5 Marks)

 

 

 

 

 

Dear students, get latest Solved assignments and case study help by professionals.

Mail us at : help.mbaassignments@gmail.com

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