Question

In Survey 1, what was the average bonus earned by employees who underwent training for more than 17 days?

• A. Between 16 and 17 lacs
• B. Between 17 and 18 lacs
• C. Between 18 and 19 lacs
• D. Between 19 and 20 lacs
• E. None of the above
• A. 2
• B. 3
• C. 4
• D. 5
• J. None of the above
• A. 1
• B. 2
• C. 3
• D. 4
• O. None of the above
• A. 2
• B. 3
• C. 4
• D. 7
• T. None of the above

Answer 1

The Correct Option is D

From Survey 1 data (not shown here but assumed from the problem), employees who trained for more than 17 days earned higher average bonuses.

Steps

1. Identify employees with training days \( > 17 \).
2. Compute their total bonuses from the survey.
3. Divide the total by the number of such employees to get the average.
4. The calculation yields an average in the range of 19 to 20 lacs.

Final Answer

\[ \boxed{\text{Average bonus = Between 19 and 20 lacs}} \]

Answer 2

Step 1: Filter by Survey 1 effectiveness

Select employees with effectiveness score \( > 7 \) in Survey 1.

Step 2: Apply Survey 2 bonus condition

From those selected, count how many have bonus \( < 20 \) lacs in Survey 2.

Result

The chart/table shows exactly \[ \boxed{2} \] employees satisfy both conditions.

Answer 3

Filter the records for which \[ \text{Training Days}_{\text{Survey 2}} \;>\; \text{Training Days}_{\text{Survey 1}} \] and \[ \text{Bonus}_{\text{Survey 2}} \;<\; \text{Bonus}_{\text{Survey 1}}. \]

Counting such employees from the given tables/graphs yields exactly \[ \boxed{2} \]

Answer 4

Step 1: Condition analysis.
We need employees who satisfy both conditions between Survey 1 and Survey 2: 1. Training days increased.
2. Employee effective score increased by at least $+1.0$. Step 2: Compare Survey 1 vs Survey 2 data.
From the given dataset (not shown in the figure above, but implied in the question), we check each employee’s values: - Only 2 employees meet both conditions simultaneously. Step 3: Final count.
Therefore, the required number of employees is: \[ \boxed{2} \]