| Minimum | Maximum | Median | |
|---|---|---|---|
| online | 40 | 100 | 80 |
| Offline | 30 | 80 | 50 |
| Total | 110 | 130 | 120 |
Given:
In every month, both online and offline registration numbers were multiples of 10.
From (2), in January, the number of offline registrations was double that of online registrations.
Let $x$ be the number of online registrations in January.
Then, offline registrations = $2x$
Total registrations = $x + 2x = 3x$
From the data, $3x$ must lie between the minimum and maximum total registrations.
Let’s try $x = 40$ (as it must be a multiple of 10).
Then online = 40, offline = 80, total = 120.
From (5), the number of online registrations is highest in May.
In May, online = 100. Since the total is 130, offline = 30.
Let $x$ be the offline registrations in May = online registrations in March = 50 (say).
Let’s fill the table:
| Month | Online | Offline | Total |
|---|---|---|---|
| Jan | 40 | 80 | 120 |
| Feb | $y$ | 50 | ? |
| Mar | 50 | $z$ | ? |
| Apr | 80 | 140 | 120 |
| May | 100 | 30 | 130 |
From the question, median of offline data = 50, so 50 must be the middle value.
That means offline values (in increasing order): 30, 50, 60, 80, 140
So, $x = 50$ and $z = 60$.
Also, median of online data is 80, so online values (in increasing order): 40, 50, 80, 80, 100
Thus, $y = 80$.
Now update the table:
| Month | Online | Offline | Total |
|---|---|---|---|
| Jan | 40 | 80 | 120 |
| Feb | 80 | 50 | 130 |
| Mar | 50 | 60 | 110 |
| Apr | 80 | 140 | 120 |
| May | 100 | 30 | 130 |
Therefore, total number of registrations in April is 120.
Given the conditions and the data in the table, let’s analyze January:
Conclusion: The number of online registrations in January is \( 40 \).
To determine the correct answer, let’s analyze each statement based on the data provided:
1. Statement I: The number of offline registrations was the smallest in May.
- According to the table, the minimum number of offline registrations is 30. Given that May had the largest number of online registrations (from condition 5), it is reasonable to assume May could have the smallest offline registrations to keep the total consistent. Therefore, this statement can be true.
2. Statement II: The total number of registrations was the smallest in February.
- The total number of registrations ranges from 110 to 130, with 110 being the minimum. There is no specific information given that February had the smallest total, and this statement cannot be confirmed based on the table.
Hence, only Statement I can be true.
To determine the correct answer, let’s analyze the given options based on the provided data:
Conclusion: The most consistent and justifiable value for offline registrations in February is: 50
To determine the correct answer, let’s carefully analyze both statements based on the table and conditions:
Statement I: January and April had the same total number of registrations.
Statement II: February and May had the same total number of registrations.
Conclusion: Since both Statement I and Statement II are possible based on the given data, the correct answer is:
Both I and II
Five countries engage in trade with each other. Each country levies import tariffs on the other countries. The import tariff levied by Country X on Country Y is calculated by multiplying the corresponding tariff percentage with the total imports of Country X from Country Y. The radar chart below depicts different import tariff percentages charged by each of the five countries on the others. For example, US (the blue line in the chart) charges 20%, 40%, 30%, and 30% import tariff percentages on imports from France, India, Japan, and UK, respectively. The bar chart depicts the import tariffs levied by each county on other countries. For example, US charged import tariff of 3 billion USD on UK.
Assume that imports from one country to an other equals the exports from the latter to the former. The trade surplus of Country X with Country Y is defined as follows. Trade surplus = Exports from Country X to Country Y Imports to Country X from Country Y. A negative trade surplus is called trade deficit.