Missing Data Interpretation questions are a common part of almost all competitive examinations nowadays. This is especially true for SBI and IBPS-PO exam. These questions are like any other DI questions but might seem confusing in the first attempt.

So what are missing data interpretation questions? They consist of tabular charts/tables where certain fields are blank. Candidates are required to find the value of these missing blanks and use these values to solve the questions.

 

Solved Examples with Guidelines of Missing DI questions

These questions are easy to solve provided that the candidates are aware of the correct approach to attempt them. Keeping this view in mind, our experts have devised this article which will assist candidates about the correct approach to use while solving missing data interpretation questions so that they can save their time while answering.

Example 1: Level of Difficulty I

Directions:

The proportion of male employees and the proportion of post-graduates in a company are given below. The company has a total of 800 employees, 80% of whom are in the production department and the rest equally divided between the marketing and the accounts department.

What is the percentage of male employees in the production department?

A) 40%

B) 45%

C)  50%

D)  55%

E)  60%

Total number of male employees in the company= 0.475% of 800= 380
We now have to see how many of these are from Production department.

Number of employess in Production= 80% of 800= 640

Number of employess in Marketing = Number of employess in Marketing = 10% of 800

Number of Male employess in Marketing = 60% of 10% of 800 = 48

Number of Male employess in Accounts = 55% of 10% of 800 = 44

Male employess in Production= 380- (48+44)= 288

Percentage of Male employess in Producion= (288/640)x 100= 45%

 

This one was easy. Now lets try a more difficult question on missing data interpretation question.

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Example 2: Level of Difficulty II

Directions :

A team of 5 players Arpit, Bimal, Chatur, Dinu and Elan participated in a ‘Freaket’ tournament and played four matches (1 to 4). The following table gives partial information about their individual scores and the total runs scored by the team in each match.

Each column has two values missing. These are the runs scored by the two lowest scorers in that match. None of the two missing values is more than 10% of the total runs scored in that match.

1) What is the maximum possible percentage contribution of Arpit in the total runs scored in the 4 matches?

A) 19.7%

B) 19.9%

C) 20.1%

D) 20.2%

Answer: Option A

Explanation:

Now you have no clue about Arpit’s score in Match 1 and 3. So you must work with estimates and use the statement: None of the two missing values is more than 10% of the total runs scored in that match

Maximum possible runs scored by Arpit in Match-1 = 10% of 270 = 27

Maximum possible runs scored by Arpit in Match-3 = 19

Why is Arpit’s score not 24? Because he has to score less than 3rd lowest scorer = 20)

So, Maximum possible percentage contribution:

(27+100+19+53) / (270+300+240+200) x 100% = 199 / 1010 x 100% = 19.7%

 

This was easy right…. But only if you are prepared for such calculations because of past practice during preparation and mocks.

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2) If the absolute difference between the total runs scored by Arpit and Chatur in the four matches is minimum possible then what is the absolute difference between total runs scored by Bimal and Elan in the four matches?

A) 32

B) 37

C) 27

D) Cannot be determined

Answer: Option B

Explanation:

Maximum possible total runs scored by Chatur in the four matches = 27 + 30 + 110 + 20 = 187.

You can see that we have again taken 10% values in each match.

Completing the table:

In such a case minimum possible total runs scored by Arpit in the four matches = 23 + 100 + 13 + 53 = 189.

Difference = 189 – 187 = 2 (minimum possible)

To minimize the difference, we have taken minimum possible score of Arpit. Hence his score in Match-3 is taken as 13.

Subsequently total runs scored by Bimal in the four matches = 88 + 65 + 19 + 52 = 224.

Also, total runs scored by Elan in the four matches = 60 + 30 + 78 + 19 = 187

Absolute difference = 224 – 187 = 37

 

3) The players are ranked 1 to 5 on the basis of the total runs scored by them in the four matches, with the highest scorer getting Rank 1. If it is known that no two players scored the same number of total runs, how many players are there whose rank can be exactly determined?

A) 0

B) 1

C) 3

D) 5

Answer: Option C

Explanation:

Rage of every player’s minimum and maximum score is:

Arpit >> 189-199

Bimal >> 218-224

Chatur >> 182-187

Dinu >> 223

Elan >> 187-188

 

So we can conclude that:

Aprip: Rank 3

Elan : Rank 4

Chatur : Rank 5

Since the score of Bimal and Dinu partially overlap, we can not determine the exact ranks of Bimal and Dinu.

 

This was a tricky example but you are most probably not expected to be asked a tougher question than this in the exam. Once you know the tricks to solve basic data interpretation questions, start practicing missing data interpretation questions from your reference books. Expect minimum 1 block of 5 questions in the SBI-PO and IBPS-PO exam.

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Tricks to solve Missing Data Interpretation Questions:

The only tricks that work while solving questions on data interpretation with missing data in SBI-PO and IBPS-PO are the following:

  1. Solve all questions with a cool mind. Don’t leave Data Interpretation questions for the last when your mind is tired and anxious.
  2. Take into consideration a range of values possible to be fit in the blank. Choose the most appropriate value as per the conditions given in the question.
  3. If the question involves extensive calculation, use approximation method to solve the questions. Finding exact values is only necessary when the answer options are very close.
  4. Attempt questions on data interpretation in the order in which they appear. It is usually seen that answer of previous question is useful in next question. The questions are usually in increasing order of difficulty.
  5. Practice missing data interpretation questions before the exam so that you don’t feel confused in the exam.

We hope that these tips and solve examples will help you in solving such questions easily in the future. If you have any doubts, do share them in the comments section below :)

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