Question : The following table shows the details of students, from universities A, B, and C about applied (App), qualified (Qual), and selected (Sel) in various competitive examinations:
| Year | University A | University B | University C | ||||||
| App | Qual | Sel | App | Qual | Sel | App | Qual | Sel | |
| 2016 | 6500 | 1000 | 190 | 7500 | 720 | 182 | 6800 | 900 | 178 |
| 2017 | 5000 | 450 | 148 | 8400 | 900 | 114 | 5500 | 830 | 185 |
| 2018 | 8000 | 1200 | 128 | 6500 | 600 | 128 | 6000 | 500 | 148 |
| 2019 | 10000 | 1800 | 190 | 7200 | 1000 | 155 | 7500 | 750 | 154 |
| 2020 | 8500 | 1500 | 170 | 9000 | 1200 | 110 | 9000 | 1000 | 180 |
The percentage of students qualified over the applied number of students, from University B, is the highest in the year:
Option 1: 2016
Option 2: 2020
Option 3: 2018
Option 4: 2019
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Correct Answer: 2019
Solution :
Now, we have to calculate the percentage of students qualified over the applied number of students
Applied = 7500 and Qualified = 720 (in the year 2016)
Percentage $=\frac{720}{7500}\times 100=9.6$%
Applied = 8400 and Qualified = 900 (in the year 2017)
Percentage $=\frac{900}{8400}\times 100=10.71$
Applied = 6500 and Qualified = 600 (in the year 2018)
Percentage $=\frac{600}{6500}\times 100=9.23$%
Applied = 7200 and Qualified = 1000 (in the year 2019)
Percentage $=\frac{1000}{7200}\times 100=13.88$%
Applied = 9000 and Qualified = 1200 (in the year 2020)
Percentage $=\frac{1200}{9000}\times 100=13.33$%
In the year 2019, the percentage is the highest.
Hence, the correct answer is 2019.
Related Questions
Question : Direction: The table given below represents the production and sales of wheat in 4 different countries A, B, C, and D for 4 years. At the end of the year 2010 A, B, C, and D had a stock of 5200, 3500, 7835, and 1956 (in '000 quintals) of wheat respectively. For any given year, the stock of wheat is calculated as:
The stock of year $(n+1)$ = stock at end of year $n$ + production in year $(n+1)$ – sales in year $(n+1)$ and, Surplus of year $n$ = production in year $n$ – sales in year $n$
The stock of year $(n+1)$ = stock at end of year $n$ + production in year $(n+1)$ – sales in year $(n+1)$ and, Surplus of year $n$ = production in year $n$ – sales in year $n$
| Wheat production and sales (in '000 quintals) | ||||||||
| Year | Country | Country | Country | Country | ||||
| 2011 | A | B | C | D | ||||
| Prod. | Sales | Prod. | Sales | Prod. | Sales | Prod. | Sales | |
| 1218 | 1413 | 1881 | 1798 | 2035 | 2247 | 3126 | 2417 | |
| 2012 | 1554 | 1783 | 2067 | 2389 | 1821 | 2018 | 2987 | 2911 |
| 2013 | 1671 | 1641 | 1328 | 2063 | 1937 | 2563 | 2143 | 3188 |
| 2014 | 1103 | 1002 | 1578 | 1239 | 3014 | 2988 | 4126 | 3563 |
What is the stock (in '000 quintals) of country C at the end of the four years?
Option 1: 5926
Option 2: 6213
Option 3: 6826
Option 4: 8844
Question : Direction: The table given below represents the production and sales of wheat in 4 different countries A, B, C, and D for 4 years. At the end of the year 2010 A, B, C, and D had a stock of 5200, 3500, 7835, and 1956 (in '000 quintals) of wheat respectively. For any given year, the stock of wheat is calculated as:
The stock of year $(n+1)$ = stock at end of year $n$ + production in year $(n+1)$ – sales in year $(n+1)$ and, Surplus of year $n$ = production in year $n$ – sales in year $n$
The stock of year $(n+1)$ = stock at end of year $n$ + production in year $(n+1)$ – sales in year $(n+1)$ and, Surplus of year $n$ = production in year $n$ – sales in year $n$
| Wheat production and sales (in '000 quintals) | ||||||||
| Year | Country | Country | Country | Country | ||||
| 2011 | A | B | C | D | ||||
| Prod. | Sales | Prod. | Sales | Prod. | Sales | Prod. | Sales | |
| 1218 | 1413 | 1881 | 1798 | 2035 | 2247 | 3126 | 2417 | |
| 2012 | 1554 | 1783 | 2067 | 2389 | 1821 | 2018 | 2987 | 2911 |
| 2013 | 1671 | 1641 | 1328 | 2063 | 1937 | 2563 | 2143 | 3188 |
| 2014 | 1103 | 1002 | 1578 | 1239 | 3014 | 2988 | 4126 | 3563 |
What is the surplus (in '000 quintals) of country A for the years 2013 and 2014 taken together?
Option 1: 122
Option 2: 131
Option 3: 143
Option 4: 158
Question : Direction: The table given below represents the production and sales of wheat in 4 different countries A, B, C, and D for 4 years. At the end of the year 2010 A, B, C, and D had a stock of 5200, 3500, 7835, and 1956 (in '000 quintals) of wheat respectively. For any given year, the stock of wheat is calculated as:
The stock of year $(n+1)$ = stock at end of year $n$ + production in year $(n+1)$ – sales in year $(n+1)$ and, Surplus of year $n$ = production in year $n$ – sales in year $n$
The stock of year $(n+1)$ = stock at end of year $n$ + production in year $(n+1)$ – sales in year $(n+1)$ and, Surplus of year $n$ = production in year $n$ – sales in year $n$
| Wheat production and sales (in '000 quintals) | ||||||||
| Year | Country | Country | Country | Country | ||||
| 2011 | A | B | C | D | ||||
| Prod. | Sales | Prod. | Sales | Prod. | Sales | Prod. | Sales | |
| 1218 | 1413 | 1881 | 1798 | 2035 | 2247 | 3126 | 2417 | |
| 2012 | 1554 | 1783 | 2067 | 2389 | 1821 | 2018 | 2987 | 2911 |
| 2013 | 1671 | 1641 | 1328 | 2063 | 1937 | 2563 | 2143 | 3188 |
| 2014 | 1103 | 1002 | 1578 | 1239 | 3014 | 2988 | 4126 | 3563 |
What is the difference (in '000 quintals) in average production and average sales respectively of country C in the given four years?
Option 1: 252.25
Option 2: 415.50
Option 3: 350.75
Option 4: 275.25
Question : The table shows year-wise road accidents registered in a city during 2015 - 2018.
| Accident | Minor | Injury | Serious | Casualties |
| Years | ||||
| 2015 | 160 | 125 | 55 | 30 |
| 2016 | 150 | 120 | 50 | 35 |
| 2017 | 210 | 170 | 30 | 25 |
| 2018 | 190 | 130 | 60 | 40 |
What is the percentage reduction in serious from the year 2016 to 2017?
Option 1: 35%
Option 2: 20%
Option 3: 25%
Option 4: 40%
Question : The table given below shows the production of bikes and trucks by five companies.
| Production | ||
| Companies | Bike | Truck |
| A | 300 | 200 |
| B | 175 | 100 |
| C | 200 | 50 |
| D | 75 | 250 |
| E | 100 | 275 |
J1 = The average production of bikes by all the 5 companies.
J2 = The average production of trucks by all the 5 companies.
What is the value of J1 : J2?
Option 1: 35 : 34
Option 2: 37 : 33
Option 3: 34 : 35
Option 4: 31 : 37
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