Today I'm going to discuss a very important question of Data interpretation. This type of question has also been asked so many times in Quantitative Aptitude section. Read the question and try to solve it yourself first.
Problem: Study the graph and try to answer the questions.
Total candidates appeared = `2` lakh
Table: State-wise percentage and ratio of Male and Female Qualified candidates
1. Find total number of females qualified from states C and D together.
2. Find number of male candidates qualified from state B.
3. Which of the following pair of states have equal number of qualified male candidates?
a) C,G b) B,F c) C,E d) None of these.
4. What is the total number of candidates qualified from states F and G together?
Solution: Total number of candidates = 2 lakh
Study the above chart and table first and calculate the things you require to solve the questions just as follows:
For A = Candidate appeared = `14`% of `2,00,000` = `28,000`
Out of `28,000` `50`% qualifies the exam = `50`% of `28,000` = `14,000`
Now, ratio of male and female = `4`:`3`
Therefore, number of males qualified = `(14,000) times 4/7` =` 8,000`
Number of females qualified = `14,000` - `8,000` = `6,000`
Similarly I calculate for others. Now using this table, we can easily answer the questions
1. Total number of females qualified from states C and D together = `2200 + 6300`
⇒`8500`
2. Number of male candidates qualified from state B = `17100`
3. No two states have equal number of qualified male candidates.
4. Total number of candidates qualified from states F and G together = `22,000` + `8000`
⇒`30,000`
Note:You don't need to make the above table. I just calculate everything to make you understand. Do the required calculations only.
Check the other posts of Data interpretation also
Data Interpretation: Tables
Data Interpretation: Bar-charts
Problem: Study the graph and try to answer the questions.
Total candidates appeared = `2` lakh
Table: State-wise percentage and ratio of Male and Female Qualified candidates
State
|
Per cent Qualified
|
Ratio of qualified candidates
|
|
Male
|
Female
|
||
A
|
50
|
4
|
3
|
B
|
60
|
6
|
2
|
C
|
55
|
3
|
2
|
D
|
45
|
2
|
1
|
E
|
65
|
5
|
4
|
F
|
55
|
6
|
5
|
G
|
50
|
2
|
6
|
1. Find total number of females qualified from states C and D together.
2. Find number of male candidates qualified from state B.
3. Which of the following pair of states have equal number of qualified male candidates?
a) C,G b) B,F c) C,E d) None of these.
4. What is the total number of candidates qualified from states F and G together?
Solution: Total number of candidates = 2 lakh
Study the above chart and table first and calculate the things you require to solve the questions just as follows:
States
|
%age Of Candidates(from pie
chart)
|
Number of candidates
(2lakh*percentage)
|
Qualified Candidates
|
Male: Female
|
Male
|
Female
|
A
|
14
|
28,000
|
14,000(50%)
|
4:3
|
8,000
|
6,000
|
B
|
19
|
38,000
|
22,800(60%)
|
6:2
|
17,100
|
5,700
|
C
|
5
|
10,000
|
55,00(55%)
|
3:2
|
33,00
|
22,00
|
D
|
21
|
42,000
|
18,900(45%)
|
2:1
|
12,600
|
6,300
|
E
|
13
|
36,000
|
23,400(65%)
|
5:4
|
13,000
|
10,400
|
F
|
20
|
40,000
|
22,000(55%)
|
6:5
|
12,000
|
10,000
|
G
|
8
|
16,000
|
8,000(50%)
|
2:6
|
2,000
|
6,000
|
For A = Candidate appeared = `14`% of `2,00,000` = `28,000`
Out of `28,000` `50`% qualifies the exam = `50`% of `28,000` = `14,000`
Now, ratio of male and female = `4`:`3`
Therefore, number of males qualified = `(14,000) times 4/7` =` 8,000`
Number of females qualified = `14,000` - `8,000` = `6,000`
Similarly I calculate for others. Now using this table, we can easily answer the questions
1. Total number of females qualified from states C and D together = `2200 + 6300`
⇒`8500`
2. Number of male candidates qualified from state B = `17100`
3. No two states have equal number of qualified male candidates.
4. Total number of candidates qualified from states F and G together = `22,000` + `8000`
⇒`30,000`
Note:You don't need to make the above table. I just calculate everything to make you understand. Do the required calculations only.
Check the other posts of Data interpretation also
Data Interpretation: Tables
Data Interpretation: Bar-charts
