Study the given table carefully and answer the questions that follow The following table presents the details about the number of Assistant Software Engineers (ASE), Junior Software Engineers (JSE) and Senior Software Engineers (SSE) employed in five different Software companies (A-E) during the year 2020. Based on the data in the table, answer the question 1-5: Company-wise Number of Software Engineers Software company Software Engineers (SE) Assistant (ASE) Junior (JSE) Senior (SSE) A 150 100 150 B 350 100 200 C 200 150 350 D 250 250 450 E 150 250 350
What is the average number of Junior Software Engineer (JSEs) in all the five Companies?
170
The question asks us to calculate the average number of Junior Software Engineers (JSEs) across five different software companies (A, B, C, D, and E) based on the data provided in the table.
To find the average, we need to sum the number of JSEs in each company and then divide by the total number of companies, which is 5.
Let's extract the number of Junior Software Engineers (JSEs) for each company from the table:
Now, we sum the number of JSEs from all five companies:
Total JSEs = Number of JSEs in A + Number of JSEs in B + Number of JSEs in C + Number of JSEs in D + Number of JSEs in E
Total JSEs = 100 + 100 + 150 + 250 + 250
Total JSEs = 850
The average is calculated using the formula:
$$ \text{Average} = \frac{\text{Sum of values}}{\text{Number of values}} $$
In this case, the values are the number of JSEs in each company, and the number of values is the number of companies (5).
Average JSEs = $$ \frac{\text{Total number of JSEs}}{\text{Number of companies}} $$
Average JSEs = $$ \frac{850}{5} $$
Average JSEs = 170
Therefore, the average number of Junior Software Engineers (JSEs) in all five companies is 170.
| Software Company | Junior Software Engineers (JSE) |
|---|---|
| A | 100 |
| B | 100 |
| C | 150 |
| D | 250 |
| E | 250 |
| Total | 850 |
Average JSEs = $$ \frac{850}{5} = 170 $$
| Concept | Description | Formula (Average) |
|---|---|---|
| Average | A measure of central tendency; sum of values divided by the count of values. | $$ \bar{x} = \frac{\sum x}{n} $$ |
| Data Extraction | Identifying and collecting specific data points from a larger dataset (like a table). | N/A |
| Summation | Adding up all the relevant data points. | $$ \sum x $$ |
Averages are fundamental in data analysis, providing a single value that represents a typical or central value for a set of numbers. In this case, the average tells us that if the JSEs were distributed equally among the five companies, each company would have 170 JSEs.
Data tables are a structured way to organize information, making it easy to read and extract specific details. When solving problems based on tables, the first step is always to carefully read the table's headings and understand what each column and row represents.
Understanding different types of software engineers (ASE, JSE, SSE) is also helpful context, although only the JSE numbers were needed for this specific average calculation.
This problem is a basic example of data interpretation and calculation from a structured table, a common type of question in quantitative aptitude tests.
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?