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:
ModelRR SquareAdjusted R Square  
1 .969a.939 .930  
   ANOVAa   
Model Sum of Squaresdf Mean SquareFSig.
 Regression1123.258 3374.41997.893.000b
1Residual72.671 193.825  
 Total1195.929 22   

a. Dependent Variable: Y

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

  Coefficientsa   
ModelUnstandardized CoefficientsStandardizedtSig.
   Coefficients  
 BStd. ErrorBeta  
(Constant)35.6813.399 10.496.000
X3-.654.158-.986-4.151.001
1     
X4.233.0541.1114.275.000
X5.115.024.8064.749.000

a. Dependent Variable: Y

Answer the following:

1.    Define R and R Square.

  • What is the significance of F test.
  • Which variable has the highest impact on Y.
  • Write the regression equation.
  • Calculate Y if X1= 10, X2 =20 and X3 =5

(10 Marks)

  • The monthly sales (number of Cars sold) is recorded of a car dealer. Following ungrouped is available
523370955761
576454943861
503994635931
688893488282
747092769891
323331755448
366463669298
365471868455
913464678978
979253566855
934251773693
446663336879
835386763540
554136394296
605338519556
486949339537
836296348532
395977623534
548936458334
396188865533

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

  1. less than 19.5 hours?
  • between 20 and 22 hours?

(5 Marks)

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Mail us at : help.mbaassignments@gmail.com

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