AP Stats Chapter 5 Practice Test

Front

What is the probability of an event?

Back

The probability of an event is a measure of the likelihood that the event will occur, expressed as a number between 0 and 1.

Tags

CCSS.7.SP.C.5

Front

Define independent events in probability.

Back

Independent events are two or more events where the occurrence of one event does not affect the occurrence of the other.

Tags

CCSS.HSS.CP.A.5

Front

What is the formula for calculating the probability of the union of two events?

Back

P(A or B) = P(A) + P(B) - P(A and B) where A and B are two events.

Tags

CCSS.HSS.CP.B.7

Front

Explain conditional probability.

Back

Conditional probability is the probability of an event occurring given that another event has already occurred, denoted as P(A|B).

Tags

CCSS.HSS.CP.A.3

CCSS.HSS.CP.A.5

Front

What is a two-way table in statistics?

Back

A two-way table is a statistical table that displays the frequency distribution of two categorical variables.

Tags

CCSS.8.SP.A.4

Front

How do you calculate the probability of selecting two students of the same gender from a group?

Back

Use the formula: P(both boys) = (number of boys/total students) * ((number of boys-1)/(total students-1)).

Front

What is the complement of an event?

Back

The complement of an event A is the event that A does not occur, denoted as A'. The probability of the complement is P(A') = 1 - P(A).

Tags

CCSS.HSS.CP.A.1

Front

Define left-handedness in the context of probability problems.

Back

Left-handedness refers to the condition of being left-handed, which can be treated as a categorical variable in probability studies.

Tags

CCSS.6.SP.B.5B

Front

What is the binomial probability formula?

Back

The binomial probability formula is P(X=k) = (n choose k) * p^k * (1-p)^(n-k), where n is the number of trials, k is the number of successes, and p is the probability of success.

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

Front

How do you find the probability of at least k successes in a binomial distribution?

Back

To find the probability of at least k successes, calculate P(X >= k) = 1 - P(X < k) using the binomial probability formula.

Tags

CCSS.HSS.MD.A.2