Binomial Distribution Answers

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1
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Which three criteria do binomial experiments meet?

A
There are only two trials.
B
The trials are independent.
C
There are only two outcomes per trial.
D
Each outcome is repeatable.
E
The probability of success is the same for each trial.
2
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Use the features on the left to identify which of the following are binomial experiments.

A
a survey asking 50 people their favorite food
B
a survey asking 50 people if they like pizza
C
a survey measuring 50 people to see if they are over 6 feet tall
D
a test of rolling a number cube 50 times and recording the result
3

k represents the number of trialsprobability of successnumber of successesprobability of failure.

A
number of trials
B
probability of success
C
number of successes
D
probability of failure
5

p =

Answer:

0.5

6

k =

Answer:

5

7

Question text not available

Answers:
Blank 1:0.246
Blank 2:0.015
8

What does each variable represent?n represents the . p represents the . k represents the .

Answers:
Selection 1:number of trials
Selection 2:probability of success
Selection 3:number of successes
12

Describe the pattern in the probability of getting greater numbers of successes.

Answer:

The probability decreases as the number of successes increases. For instance, the probability of getting 9 or 10 successes in 10 trials is very small and approaches 0 because such a high number of successes is very unlikely for this distribution.

15

Which of the following ideas did you include in your response? Check all of the boxes that apply.

A
The number of trials affects the distribution.
B
5 successes is the expected value for 10 trials.
C
5 successes is close to an end of the distribution for 20 trials.
16

Which three criteria do binomial experiments meet?

A
There are only two trials.
B
The trials are independent.
C
There are only two outcomes per trial.
D
Each outcome is repeatable.
E
The probability of success is the same for each trial.
20

Describe the pattern in the probability of getting greater numbers of successes.

Answer:

The probability decreases as the number of successes increases. For instance, the probability of getting 9 or 10 successes in 10 trials is very small and approaches 0 because such a high number of successes is very unlikely for this distribution.

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