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IIBM – Business Analytics Using SAS Answer sheet

IIBM – Business Analytics Using SAS Answer Sheet


Multiple choice:

  1. Which one of the following is the value of the variable data work? One; a = 2; b = 3; c = a ** b; run;
  2. 6
  3. 8
  4. 9
  5. None of the above
  1. Which one of the following statements can’t be part of “PROC FREQ” (1)
  2. Output
  3. Weight
  4. Set
  5. Tables

III. Which one is not a data type in SAS?

  1. Numeric
  2. Date
  3. Character
  4. Boolean
  1. Which of the following statements are used to read the delimited raw data file and create a SAS data set (1)
  2. Data, Infile, Input
  3. Data, Set, Input
  4. Data, Set, Infile
  5. Data & Set
  1. Which of these is the casual model technique?
  2. Moving average
  3. Exponential Smoothing
  4. Regression
  5. Trend Model
  1. When the variance between predicted and actual values is not the same, it is called –
  2. Multicollinearity
  3. Heteroskedasticity
  4. Homoscadesticity
  5. Autocorrelation

VII. Is there a limitation of records in SAS? (1)

  1. No
  2. Yes
  3. Can’t say
  4. None of the above
  1. What is the syntax used for assigning library in SAS (1)
  2. LibSet
  3. LibData
  4. Data
  5. lib name

VIII. Which one is not a window in SAS (1)

  1. Editor
  2. Log
  3. drive
  4. results
  1. What is the syntax to print results in SAS (1)
  2. Proc set
  3. Proc print var
  4. Proc Print
  5. Proc SQL


Part Two

  1. Write data step to assign work dataset, say ABC with a limitation of 10 observations only. (5)
  2. Write the role of PDV in SAS (5)
  3. Explain the lib name function with read-only access (5)
  4. What is the starting date in SAS, and how does SAS read any given date (5)

Section B: Caselets (40 marks)

Caselet 1

  1. Answer the question based on the data given below. The name of the dataset is class-
Roll Number Class Age Gender Subject Sports
001 1 10 M Maths   Cricket
002 1 11 M English Tennis
003 2 9 F Maths Football
004 4 7 F Science Football
005 3 7 M Maths Cricket
006 5 10 F Science Tennis
007 3 7 F Art Cricket


  1. Write code to see frequency distribution by Gender and subject. (10)
  2. Write code to filter students aged less than 10 and like football and Maths. (10)
  3. Write code to sort the data by age. (10)
  4. Which sport has the maximum demand, write code to see proportionate (10)

Section C: Applied Theory (30 marks)

  1. Explain how SAS can replace Excel, and talk about 3 key features of SAS. (15)
  2. What is the meaning of debugging in SAS, and how can it help in code writing?

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