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QuestionQuestion 14 out of 4 points

QuestionQuestion 14 out of 4 points

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Question 1

4 out of 4 points

One can look at picking a winner or not picking a winner in a series of races at the track as fitting the requirements of the binomial distribution (assuming that each horse has an equal chance of winning a particular race and there are the same number of horses in each race).

Question 2

4 out of 4 points

If P ¹ Q, the binomial distribution will still be normally distributed.

Question 3

0 out of 4 points

If N = 18 the probability of obtaining a result as extreme or more extreme than 16 P events equals p(16) + p(17) + p(18).

Question 4

4 out of 4 points

In (P + Q)7 the term Q7 indicates 0 P events.

Question 5

4 out of 4 points

The probability of getting a result as extreme or more extreme than 5 heads out of a toss of 7 unbiased coins is 0.4532.

Question 6

4 out of 4 points

To apply the binomial distribution properly (P + Q) must equal 1.00.

Question 7

4 out of 4 points

The binomial distribution requires that P and Q stay the same from trial-to-trial.

Question 8

4 out of 4 points

If P >Q, the binomial distribution will be symmetrical.

Question 9

0 out of 4 points

To use the normal approximation, it is required that either NP ?5= 10 or NQ ?5= 10, but not both.

Question 10

4 out of 4 points

The binomial distribution is always symmetrical.

Question 11

4 out of 4 points

The probability of 6 P events when N = 10 and P = 0.7 is the same as 4 Q events if Q = 0.3 and N = 10.

Question 12

4 out of 4 points

Because Table B, “Binomial Distribution,” in Appendix D of the textbook only lists probabilities for values of P = 0.40 and 0.45, it is not possible to use the binomial distribution to solve problems where P = 0.43.

 

Question 13

4 out of 4 points

The requirement that NP ?5= 10 is a necessary and sufficient requirement for using the normal approximation.

Question 14

4 out of 4 points

The binomial distribution requires that the P and Q do not change from trial-to-trial.

Question 15

4 out of 4 points

If P = 0.30 and Q = 0.67, the binomial distribution does not apply.

Question 16

4 out of 4 points

(P + Q)2 = P2 + Q2 in the binomial expansion.

Question 17

0 out of 4 points

The binomial distribution is a discrete distribution.

Question 18

4 out of 4 points

The binomial distribution only applies to flipping coins and not to real life situations.

Question 19

4 out of 4 points

In (P + Q)6 the term Q6 indicates 0 P events.

Question 20

4 out of 4 points

A valid example of a situation where one can apply the binomial distribution is in determining the probability of rolling a 6 or a 5 with the toss of a pair of dice.

Question 21

4 out of 4 points

One can appropriately apply the binomial distribution if P = 0.5 and Q = 0.3 in a problem.

Question 22

4 out of 4 points

The binomial distribution applies equally well to discrete and continuous variables.

Question 23

4 out of 4 points

One can appropriately apply the binomial distribution if P = 0.37 and Q = 0.63.

Question 24

4 out of 4 points

You are solving a binomial problem with N = 25, It is theoretically and practically possible to solve the problem using the binomial expansion.

Question 25

4 out of 4 points

For the binomial distribution to be appropriate, P and Q must be equal.

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