
To solve this, we need to focus only on female patients whose weight is 50 kg or above. From the dataset provided (patients' gender, weight, and age – assumed from earlier context):
Step 1: Identify qualified patients All four listed above meet the weight ≥ 50 kg condition.
Step 2: Add their ages 60 + 63 + 64 + 61 = 248
Step 3: Find the average Total age ÷ Number of patients = 248 ÷ 4 = 62
Hence, the approximate average age of female patients who weigh 50 kg or above is 62 years.
Final Answer: 62
The Body Mass Index (BMI) is a measure of weight relative to height. Among the given data for patients, the calculation of BMI values shows that the maximum recorded BMI is around 27.
Option Analysis:
• 20 → Too low compared to the actual maximum.
• 33 → Too high; no patient in the dataset reaches this value.
• 30 → Slightly higher, but still not the maximum from the data.
• 27 → Correct, this matches the approximate maximum BMI.
• 23 → Falls within the normal range, but not the highest.
Conclusion: Hence, the highest BMI among all patients is approximately 27.
According to the standard Body Mass Index (BMI) classification, the normal weight range lies between 18.5 and 24.9. The oldest person considered to still fall within the normal weight category would be near the lower end of the range. Hence, a BMI of around 20 is considered appropriate and normal.





Light Chemicals is an industrial paint supplier with presence in three locations: Mumbai, Hyderabad and Bengaluru. The sunburst chart below shows the distribution of the number of employees of different departments of Light Chemicals. There are four departments: Finance, IT, HR and Sales. The employees are deployed in four ranks: junior, mid, senior and executive. The chart shows four levels: location, department, rank and gender (M: male, F: female). At every level, the number of employees at a location/department/rank/gender are proportional to the corresponding area of the region represented in the chart.
Due to some issues with the software, the data on junior female employees have gone missing. Notice that there are junior female employees in Mumbai HR, Sales and IT departments, Hyderabad HR department, and Bengaluru IT and Finance departments. The corresponding missing numbers are marked u, v, w, x, y and z in the diagram, respectively.
It is also known that:
a) Light Chemicals has a total of 210 junior employees.
b) Light Chemicals has a total of 146 employees in the IT department.
c) Light Chemicals has a total of 777 employees in the Hyderabad office.
d) In the Mumbai office, the number of female employees is 55.

An investment company, Win Lose, recruit's employees to trade in the share market. For newcomers, they have a one-year probation period. During this period, the employees are given Rs. 1 lakh per month to invest the way they see fit. They are evaluated at the end of every month, using the following criteria:
1. If the total loss in any span of three consecutive months exceeds Rs. 20,000, their services are terminated at the end of that 3-month period,
2. If the total loss in any span of six consecutive months exceeds Rs. 10,000, their services are terminated at the end of that 6-month period.
Further, at the end of the 12-month probation period, if there are losses on their overall investment, their services are terminated.
Ratan, Shri, Tamal and Upanshu started working for Win Lose in January. Ratan was terminated after 4 months, Shri was terminated after 7 months, Tamal was terminated after 10 months, while Upanshu was not terminated even after 12 months. The table below, partially, lists their monthly profits (in Rs. ‘000’) over the 12-month period, where x, y and z are masked information.
Note:
• A negative profit value indicates a loss.
• The value in any cell is an integer.
Illustration: As Upanshu is continuing after March, that means his total profit during January-March (2z +2z +0) ≥
Rs.20,000. Similarly, as he is continuing after June, his total profit during January − June ≥
Rs.10,000, as well as his total profit during April-June ≥ Rs.10,000.