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To solve this problem, we need to calculate the probability that a student selected at random is either a junior or a senior.

### Given:
- 35% of students are freshmen.
- 30% of students are sophomores.

Since the only other groups are juniors and seniors, we can calculate their combined percentage by subtracting the sum of the freshmen and sophomores' percentages from 100%.

\[
P(\text{freshmen or sophomores}) = 35\% + 30\% = 65\%
\]

Therefore, the percentage of students who are either juniors or seniors is:

\[
P(\text{junior or senior}) = 100\% - 65\% = 35\%
\]

Thus, the probability that a randomly selected student is either a junior or a senior is **35%**.

Would you like more details or have any further questions?

Here are 5 related questions you might consider:
1. What is the probability that a randomly selected student is a freshman or a sophomore?
2. If there are 10,000 students at the university, how many are juniors or seniors?
3. What is the complement of the event "junior or senior" in terms of probability?
4. How would you calculate the probability if you had more than four class ranks?
5. What happens if the percentages of freshmen and sophomores change?

**Tip:** When solving probability problems, always make sure that the sum of all probabilities adds up to 100%.

At a particular university, 35% of students are freshmen and 30% are sophomores. What is the probability that a randomly selected student is either a junior or a senior?

Learn how to calculate the probability that a randomly selected student is either a junior or a senior at a university where 35% of students are freshmen and 30% are sophomores. Detailed step-by-step solution using basic probability and percentage concepts.

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