Binomial Probability Practice

If p = 82%, what is q?

• 0.82

• 0.41

• 0.18

• 0.6724

Tags

CCSS.7.RP.A.2

CCSS.7.RP.A.3

Given n = 13 and p = 0.19 for a binomial distribution, find probability when r = 4

• 0.1399

• 9.88

• 0.81

• 0.1539

Tags

CCSS.HSS.CP.B.9

X is the number of heads when a fair coin is flipped 12 times

Find the probability of flipping a coin and landing on heads 4 times.

• 0.12

• 0.19

• 0.81

• 0.93

Tags

CCSS.HSS.MD.B.6

CCSS.HSS.MD.B.7

When rolling two dice, the probability of rolling doubles is ⅙. Suppose that a game player rolls the dice five times, hoping to roll doubles. What is the probability the player gets doubles less than three times in 5 attempts?

• 0.161
• 0.965
• 0.015
• 0.997

Tags

CCSS.HSS.CP.B.9

CCSS.HSS.MD.A.3

An 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 exactly 3 questions correct?

• 0.962

• 0.132

• 0.831

• 0.250

Tags

CCSS.HSS.CP.B.9

In a survey, it is found that 25% of the bulbs in a particular shop are spoilt. Find the probability that out of 10 bulbs,

(a) exactly 3 bulbs are spoilt,

(b) more than 8 bulbs are in good condition.

• (a) 0.2613; (b) 0.2540

• (a) 0.2503; (b) 0.2440

• (a) 0.3533; (b) 0.4440

• (a) 0.2563; (b) 0.2540

Tags

CCSS.HSS.CP.B.9

CCSS.HSS.MD.A.3

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

• Number of trials
• Number of Successes
• Probability of Successes
• Probability of Failures

What does the q or (1-p) stand for in the binomial probability formula?

• Number of trials

• Number of Successes

• Probability of Successes

• Probability of Failures

You are a terrible driver. Whenever you drive, there is a 70% chance that you will run over a pedestrian. If you go for a drive 15 times, what is the probability that you will run over no more than 6 pedestrians?

• 0.985

• 0.015

• 0.988

• 0.012

Tags

CCSS.HSS.CP.B.9

CCSS.HSS.MD.A.3

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

• Number of trials
• Number of Successes
• Probability of Successes
• Probability of Failures