Statistics 4.1 and 4.2

What does the p stand for in the binomial probability formula?

• Total number of trials

• Number of desired successful outcomes

• Probability of each success

• Probability of each failure

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

What does the x stand for in the binomial probability formula?

• Total number of trials

• Number of successful outcomes

• Probability of each success

• Probability of each failure

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

How do you find q in the binomial probability formula.

• n - x

• 1 + p

• p - 1

• 1 - p

If you were to flip a coin 20 times, what is the probability you would get exactly 11 heads?

• .5

• .329

• .160

• .240

Tags

CCSS.HSS.MD.B.6

CCSS.HSS.MD.B.7

A test consists of 10 multiple choice questions with five choices for each question. As an experiment, you guess on each and every answer without even reading the questions.

What is the probability of getting exactly 6 questions correct on this test?

• 0.006

• 0.004

• 0.009

• 0.007

An Honors Algebra 2 test has 6 multiple choice questions with four choices with one correct answer each. If we just randomly guess on each of the 6 questions, what is the probability that you get at least 5 questions correct?

• 0.005

• 0.002

• 0.003

• 0.006

Tags

CCSS.HSS.MD.B.6

CCSS.HSS.MD.B.7

Justin Tucker is currently the best field kicker in the NFL making 91% of all his field goals. Find the probability that he will make at least 18 of his next 20 field goal kicks.

• .733

• .910

• .452

• .831

Is this binomial experiment? Shuffle a deck of 52 cards. Turn over the top card. Do not replace the card. Repeat the process 5 times. Let X = the card you observe.

• Yes

• No, the trials are not identical.

Identify whether the experiment involves a discrete or a continuous random variable.

tossing a pair of fair coins

• Discrete Random Variable

• Continuous Random Variable

Identify whether the experiment involves a discrete or a continuous random variable.

Comparing the weights of our dogs

• Discrete Random Variable

• Continuous Random Variable