Study the given table carefully and answer the questions that follow: The given table has the number of candidates who appeared and qualified for an university entrance examination (in thousands) in 5 different years. (A - Appeared, Q - Qualified). Year BSc BA MSc MA A Q A Q A Q A Q 2016 3.4 1.2 6.4 2.3 2.8 1.3 4.8 2.4 2017 3.6 1.8 6.6 2.5 2.4 1.1 4.7 2.3 2018 4.2 2.1 7.2 2.8 2.2 1.2 4.6 2.5 2019 4.8 2.3 6.8 2.6 2.5 1.2 4.9 2.7 2020 3.8 1.9 7.4 3.2 2.6 1.3 5.2 3.2
Find out the difference between non-qualified candidates from the years 2018 and 2019 (for all categories)
600
The question asks us to analyze data from a table showing the number of candidates who appeared and qualified for a university entrance examination over five years (2016 to 2020) across four different categories: BSc, BA, MSc, and MA. The numbers are given in thousands.
We need to find the difference in the total number of non-qualified candidates between the years 2018 and 2019. Non-qualified candidates in any year for a specific category are calculated by subtracting the number of qualified candidates from the number of appeared candidates.
| Year | BSc | BA | MSc | MA | ||||
|---|---|---|---|---|---|---|---|---|
| A | Q | A | Q | A | Q | A | Q | |
| 2016 | 3.4 | 1.2 | 6.4 | 2.3 | 2.8 | 1.3 | 4.8 | 2.4 |
| 2017 | 3.6 | 1.8 | 6.6 | 2.5 | 2.4 | 1.1 | 4.7 | 2.3 |
| 2018 | 4.2 | 2.1 | 7.2 | 2.8 | 2.2 | 1.2 | 4.6 | 2.5 |
| 2019 | 4.8 | 2.3 | 6.8 | 2.6 | 2.5 | 1.2 | 4.9 | 2.7 |
| 2020 | 3.8 | 1.9 | 7.4 | 3.2 | 2.6 | 1.3 | 5.2 | 3.2 |
The number of non-qualified candidates for a specific category in a given year is found using the formula:
$$ \text{Non-qualified} = \text{Appeared} - \text{Qualified} $$
Let's calculate the number of non-qualified candidates for each category in the years 2018 and 2019.
Total non-qualified candidates in 2018:
$$ 2.1 + 4.4 + 1.0 + 2.1 = 9.6 \text{ thousand} $$
Total non-qualified candidates in 2019:
$$ 2.5 + 4.2 + 1.3 + 2.2 = 10.2 \text{ thousand} $$
Now, we need to find the difference between the total non-qualified candidates in 2019 and 2018.
Difference $$ = \text{Total Non-qualified 2019} - \text{Total Non-qualified 2018} $$
Difference $$ = 10.2 - 9.6 = 0.6 \text{ thousand} $$
Since the data is in thousands, we convert 0.6 thousand to the actual number:
$$ 0.6 \times 1000 = 600 $$
So, the difference between non-qualified candidates from the years 2018 and 2019 for all categories is 600.
| Year | Category | Appeared (A, '000) | Qualified (Q, '000) | Non-qualified (A-Q, '000) |
|---|---|---|---|---|
| 2018 | BSc | 4.2 | 2.1 | 2.1 |
| BA | 7.2 | 2.8 | 4.4 | |
| MSc | 2.2 | 1.2 | 1.0 | |
| MA | 4.6 | 2.5 | 2.1 | |
| Total Non-qualified 2018 ('000) | 9.6 | |||
| 2019 | BSc | 4.8 | 2.3 | 2.5 |
| BA | 6.8 | 2.6 | 4.2 | |
| MSc | 2.5 | 1.2 | 1.3 | |
| MA | 4.9 | 2.7 | 2.2 | |
| Total Non-qualified 2019 ('000) | 10.2 | |||
| Difference (2019 - 2018) ('000) | 0.6 | |||
| Difference (Actual Number) | 600 | |||
When tackling data interpretation questions involving tables, here are some useful tips:
In this problem, identifying 'non-qualified candidates' and focusing on the years 2018 and 2019 for 'all categories' were key steps.
The table shows District-wise data of a number of primary school teachers posted in schools of a city.
Study the table and answer the question:
District | Male teachers | Female teachers |
East | 1650 | 2375 |
North | 1075 | 2651 |
West | 1280 | 1520 |
South | 1170 | 1085 |
Central | 690 | 859 |
Table shows income (in Rs. ) received by 4 employees of a company during the month of December 2020 and all their income sources.
Source | Amit | Suresh | Nitin | Varun |
Salary | 35000 | 38500 | 29000 | 42000 |
Arrears | 6000 | 6300 | 5000 | 7500 |
Bonus | 1000 | 1100 | 1000 | 1240 |
Overtime | 1800 | 1950 | 1400 | 1500 |
Study the table and answer the question:
Income (Rs.) | No. of persons |
Less than 200 | 12 |
Less than 250 | 26 |
Less than 300 | 34 |
Less than 350 | 40 |
Less than 400 | 50 |
The following table shows the annual profit of a company (in Rs. lakh).
2014-2015 | 2015-2016 | 2016-0217 | 2017-2018 | 2018-2019 |
625 | 690 | 725 | 775 | 815 |
The period which has the maximum percentage increase in profit over the previous year is:
The table given below shows the number of persons participating in a survey from 6 different states.
| States | Persons |
| S1 | 100 |
| S2 | 200 |
| S3 | 400 |
| S4 | 500 |
| S5 | 600 |
| S6 | 800 |
What is the ratio of number of person participating in a survey from state S3 to the number of person participating in a survey from state S4?