Probability Rules Quiz

What is the additive rule in probability?

• The probability of the union of two events

• The probability of the intersection of two events

• The probability of a single event

• The probability of complementary events

Define the multiplicative rule in probability.

• The probability of the intersection of two independent events

• The probability of the union of two events

• The probability of a single event

• The probability of complementary events

What does it mean for two events to be independent?

• The occurrence of one event does not affect the probability of the other

• The occurrence of one event affects the probability of the other

• Both events cannot occur at the same time

• Both events must occur together

Explain mutual exclusivity in probability.

• Two events cannot occur at the same time

• Two events can occur at the same time

• The occurrence of one event affects the probability of the other

• The occurrence of one event does not affect the probability of the other

What is a sample space in probability?

• The set of all possible outcomes of an experiment

• The set of all favorable outcomes of an experiment

• The set of all unfavorable outcomes of an experiment

• The set of all independent events

Define an event in the context of probability.

• A subset of the sample space

• The entire sample space

• An outcome that cannot occur

• A set of independent events

What is a probability distribution?

• A function that describes the likelihood of different outcomes

• A list of all possible outcomes

• A set of independent events

• A subset of the sample space

Describe a binomial distribution.

• A distribution of the number of successes in a fixed number of independent Bernoulli trials

• A distribution of continuous outcomes

• A distribution of dependent events

• A distribution of mutually exclusive events

What characterizes a normal distribution?

• A symmetric, bell-shaped distribution

• A distribution with only two outcomes

• A distribution of independent events

• A distribution of mutually exclusive events

Explain cumulative probability distributions.

• A distribution that shows the probability that a random variable is less than or equal to a certain value

• A distribution that shows the probability of a single outcome

• A distribution of independent events

• A distribution of mutually exclusive events