The collection of all possible outcomes of a probability experiment is called the sample space.

Explanation:

In probability theory, the sample space (denoted as $S$ or $\Omega$) is the set of all possible outcomes of a random experiment. Each individual outcome in the sample space is called a sample point.

For example, if you roll a fair six-sided die, the sample space is:

$S = \{1, 2, 3, 4, 5, 6\}$

This represents all possible outcomes of a single roll of the die.

Would you like more details or have any questions?

Here are some related questions you might find interesting:

1. What is an event in probability theory?
2. How do you define a sample space for flipping two coins?
3. What is the difference between a sample space and an event?
4. How do you calculate the probability of a specific event within a sample space?
5. What is a complementary event in probability?

Tip: When defining a sample space, ensure it includes all possible outcomes and is mutually exclusive (no overlap between outcomes).