BESC 3010 CH7 QUESTIONS AND
ANSWERS | LATEST UPDATE |
2024/2025 | GRADED A+
What is the purpose of a probability mass function (PMF)?
A probability mass function (PMF) assigns probabilities to each possible value of a discrete
random variable, ensuring that the total probability sums to one....
BESC 3010 CH7 QUESTIONS AND
ANSWERS | LATEST UPDATE |
2024/2025 | GRADED A+
What is the purpose of a probability mass function (PMF)?
✔✔A probability mass function (PMF) assigns probabilities to each possible value of a discrete
random variable, ensuring that the total probability sums to one.
How does one differentiate between independent and dependent events?
✔✔Independent events are those where the occurrence of one event does not affect the
probability of another event, whereas dependent events have probabilities that are influenced by
one another.
What is the significance of the expected value in decision-making?
✔✔The expected value provides a weighted average of all possible outcomes, helping to guide
decisions based on long-term averages rather than short-term results.
What role does the uniform distribution play in statistics?
✔✔The uniform distribution describes scenarios where all outcomes are equally likely, often
used in simulations and random sampling.
1
, How can the concept of conditional probability be applied in real life?
✔✔Conditional probability helps in assessing the likelihood of an event occurring given that
another event has already occurred, such as evaluating risk factors in health studies.
What is the concept of the complement of an event?
✔✔The complement of an event includes all outcomes in which the event does not occur,
providing a way to calculate probabilities more easily.
How can one determine if two events are mutually exclusive?
✔✔Two events are mutually exclusive if they cannot occur simultaneously; if one event
happens, the other cannot.
What is the role of a cumulative distribution function (CDF)?
✔✔A cumulative distribution function (CDF) shows the probability that a random variable will
take a value less than or equal to a specific point, providing insights into the distribution's
behavior.
What is the purpose of using simulation in probability?
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