To determine the number of new cases in Levmisto on Day 3, we'll use the data given in the comprehension:
We are given that Levmisto had a total of 12 cases over five days. The number of new cases on each day could initially be:
Let's distribute based on total increasing daily totals and satisfying all constraints:
Assign options:
| Day | Levmisto | Tyhrmisto | Pesmisto | Kitmisto |
|---|---|---|---|---|
| Day 1 | 2 | 1 | 1 | 2 |
| Day 2 | 2 | 0 | 1 | 3 |
| Total on Day 3 | Cannot be less than 13 from Day 1 increasing assumption overall (needs trial of options) |
Conclusion: Levmisto had Exactly 3 new cases on Day 3, logically fitting all given conditions.
Since Pesmisto must have fewer cases than Kitmisto on every day, and Kitmisto had 3 cases on Day 2, the maximum Pesmisto can have on Day 2 is:
\[ \text{Pesmisto on Day 2} \leq 2 \]
And if Pesmisto had 2 cases on Day 2, then it cannot have 2 on any other day due to the one-time maximum rule.
The total cases in Pesmisto over 5 days is 5. Suppose Pesmisto had 2 cases on Day 2. That leaves:
\[ 5 - 2 = 3 \text{ cases to distribute across 4 other days} \]
To maintain increasing total cases from Day 2 to Day 3, the other neighborhoods (Levmisto, Tyhrmisto, Kitmisto) must account for that 1 case difference. Therefore, it's most efficient if Pesmisto had 0 cases on Day 3.
Let’s try a sample distribution:
This satisfies all constraints:
✅ Therefore, the only valid day on which Pesmisto had no new cases is:
Day 3
"Tyhrmisto had 2 new cases on Day 3."
Let’s assume this is true and examine feasibility:
Conclusion: Statement A is necessarily false.
"Pesmisto had 0 new cases on Day 2."
But Kitmisto had 3 cases on Day 2 (Fact 5), and Fact 2 requires Kitmisto > Pesmisto on every day.
Therefore, Pesmisto must have had at least 1 case on Day 2 to satisfy: \[ \text{Kitmisto} = 3 > \text{Pesmisto} \]
Conclusion: Statement B is necessarily false.
Both Statement A and Statement B are necessarily false.
The constraints are too strict to allow either condition to be satisfied while maintaining all known data.
To determine the number of days Levmisto and Tyhrmisto had the same number of new cases, we need to deduce the distribution of cases using the constraints provided.
| Day | Levmisto | Tyhrmisto | Pesmisto | Kitmisto | Total |
|---|---|---|---|---|---|
| 1 | 2 | 1 | 1 | 2 | 6 |
| 2 | 2 | 2 | 0 | 3 | 7 |
| 3 | 3 | 3 | 1 | 3 | 10 |
| 4 | 3 | 3 | 1 | 3 | 10 |
| 5 | 2 | 3 | 2 | 3 | 10 |
Result: They had the same number of new cases on 5 days.
To determine the total number of new cases in the city on Day 2, we analyze the given constraints and logic:
✅ Therefore, the total number of new cases on Day 2 is: 8 cases.
At InnovateX, six employees, Asha, Bunty, Chintu, Dolly, Eklavya, and Falguni, were split into two groups of three each: Elite led by Manager Kuku, and Novice led by Manager Lalu. At the end of each quarter, Kuku and Lalu handed out ratings to all members in their respective groups. In each group, each employee received a distinct integer rating from 1 to 3. & nbsp;
The score for an employee at the end of a quarter is defined as their cumulative rating from the beginning of the year. At the end of each quarter the employee in Novice with the highest score was promoted to Elite, and the employee in Elite with the minimum score was demoted to Novice. If there was a tie in scores, the employee with a higher rating in the latest quarter was ranked higher.
1. Asha, Bunty, and Chintu were in Elite at the beginning of Quarter 1. All of them were in Novice at the beginning of Quarter 4.
2. Dolly and Falguni were the only employees who got the same rating across all the quarters.
3. The following is known about ratings given by Lalu (Novice manager):
– Bunty received a rating of 1 in Quarter 2. & nbsp;
– Asha and Dolly received ratings of 1 and 2, respectively, in Quarter 3.
For any natural number $k$, let $a_k = 3^k$. The smallest natural number $m$ for which \[ (a_1)^1 \times (a_2)^2 \times \dots \times (a_{20})^{20} \;<\; a_{21} \times a_{22} \times \dots \times a_{20+m} \] is: