Supplementary Exercise 3.74 of IPS7e
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The short answer to the question is that with a larger sample size, the
results from the study are going to be more precise. We will in Lecture 5
encounter a rule for the precision of estimates, expressing that the
precision increases with sample size (as one would intuitively expect).

In order to elaborate a bit on what the precision of estimates means, it
is helpful to consider the entire statistical setup. The population of 
interest appears to be students attending college, perhaps at a specific 
university or more generally. The questions being about part-time work, 
there is definitely a need to define the targeted population, because
one could easily imagine large differences in the answers from different
groups of students (say by sociodemographic group).

Each question will have its answers distributed in a certain way across
the entire distribution. The distribution of answers we achieve from a
sample of size 25 (or 100) is not going to match the distribution in the
population exactly, but we would expect a better match with a larger
sample size. In particular, we would expect a sample estimate (such as 
a mean or a proportion) to be closer to the corresponding value from
the population with a larger sample size. We saw one example of this 
in Exercise 4.9 (with simulated data). 

Whether a sample size of 25 (or 100) is adequate, is a difficult question
that cannot be answered meaningfully without more information about the
objective of the study and some assumptions about the distribution in
the population. We will get to statistical sample size calculations
later in the course.