Probability:

The chance that an event will happen.  A ratio of chance/all chances.

• odds

• probability

• outcomes

• tree diagram

Tags

CCSS.7.SP.C.5

A diagram used to show the total number of possible outcomes in a probability event

• mutually exclusive event
• outcomes
• tree diagram
• odds

Tags

CCSS.7.SP.C.8B

The outcome of one event does not influence the outcome of the other event

• independent event
• tree diagram
• simple event
• odds

Tags

CCSS.HSS.CP.A.5

The outcome of one event does influence the outcome of the other event

• mutually exclusive event
• probability
• dependent event
• simple probability

Tags

CCSS.HSS.CP.A.5

2 or more events that cannot happen at the same time

• odds
• mutually exclusive event
• compound probability
• mutually inclusive event

Tags

CCSS.HSS.CP.A.1

THE LAW OF LARGE NUMBERS it states that, as a probabilistic process is repeated a large number of times, the experimental probability of its possible outcomes will get closer and closer to their respective probabilities.

• True

• False

If there is a 30% chance for rain, then there is a 70% chance that it will not rain. What rule in probability does the 70% conclusion represent?

• Probability Assignment Rule

• Disjoint Rule

• Subtraction Rule

• Complement Rule

Conditional Probability: P(A|B)

• P(A ∩ B)/P(B)

• P(B ∩ A)/P(A)

• P(A) * P(B)

• P(A)/P(A ∩ B)

Tags

CCSS.HSS.CP.A.3

CCSS.HSS.CP.A.5

Probability: P(A U B) Mutually Exclusive

• P(A) * P(B)

• P(A U B)/P(A)

• P(A)

• P(A) + P(B)

Tags

CCSS.HSS.CP.B.7

Probability: P(A U B) Inclusive

• P(A) + P(B)

• P(A ∩ B)

• P(A) + P(B) - P(A ∩ B)

• P(A) * P(B)

Tags

CCSS.HSS.CP.B.7