Question 1

If Q = 0.30 then P equals _________.

Accepted Answer

A)  0.30 
B)  0.90 
C)  0.70 
D)  0.10 
A)  0.30 
B)  0.90 
C)  0.70 
D)  0.10

Question 2

The probability of 7 P events when N = 10 and P = 0.8 is the same as 3 Q events if Q = 0.2 and N = 10.

Accepted Answer

A) True 
 B)False

Question 3

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

Accepted Answer

A) True 
 B)False

Question 4

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).

Accepted Answer

A) True 
 B)False

Question 5

What is the probability of obtaining 2 or fewer heads if p ( H ) = 0.2 and 7 coins were tossed once?

Accepted Answer

To calculate the probability of obtainin

Question 6

( P + Q )6 = P 6 +6 P 5 Q 5 +15 P 4 Q 2 + 20 P 3 Q 3 + 15 P 2 Q 4 + 6 P 5 Q 2 + Q 6. If P = 0.40, what is the exact probability of getting 3 P events? The answer to the previous question is found by evaluating which term in the expanded binomial expansion?

Accepted Answer

The input question seems to be asking fo

Question 7

Assuming the binomial distribution is appropriate, if N = 7, P = 0.40, and the number of P events = 2, the number of Q events = _________.

Accepted Answer

A)  5 
B)  2 
C)  0.60 
D)  need more information 
A)  5 
B)  2 
C)  0.60 
D)  need more information

Question 8

List three commonly encountered situations where the binomial distribution is applicable and explain how the appropriate conditions are met in each.

Accepted Answer

1. Quality control in manufacturing: In

Question 9

Table B in your textbook lists the binomial distribution for various N , P and Q values. According to the table, for N = 15, and P = Q = 0.50, p (15+'s) = 0.0000. Is p (15+'s) truly equal to zero? Explain.

Accepted Answer

No, p (15+'s) is not truly equal to zero

Question 10

Assuming the binomial distribution is appropriate, if N = 6 and P = 0.50, the probability of getting exactly 5 P events = _________.

Accepted Answer

A)  0.1094 
B)  0.0156 
C)  0.0609 
D)  0.0938 
A)  0.1094 
B)  0.0156 
C)  0.0609 
D)  0.0938

Question 11

The binomial expansion equals _________.

Accepted Answer

A)  ( P + Q ) N 
B)  P + Q 
C)  ( P + Q ) 2 
D)  1 
A)  ( P + Q ) N 
B)  P + Q 
C)  ( P + Q ) 2 
D)  1

Question 12

For biased coins, the probability of getting 5 heads out of a toss of 5 coins equals the probability of getting 5 tails out of a toss of 5 coins.

Accepted Answer

A) True 
 B)False

Question 13

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

Accepted Answer

A) True 
 B)False

Question 14

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

Accepted Answer

A) True 
 B)False

Question 15

If p ( H ) = 0.75 what is the probability that if 9 coins were tossed once that one would get 6 or more heads?

Accepted Answer

To find the probability of getting 6 or

Question 16

A smaller N is required to use the normal approximation if P = 0.60 than if P = 0.80.

Accepted Answer

A) True 
 B)False

Question 17

What is the probability of tossing 6 unbiased coins once and getting 6 heads? What is the probability of getting 6 tails? What is the probability of obtaining either 6 heads or 6 tails?

Accepted Answer

To calculate the probability of a specif

Question 18

Suppose you flip 35 biased coins once. The probability of a head with each coin equals 0.30. What is the probability you will get 15 or more heads?

Accepted Answer

A)  0.0485 
B)  0.0446 
C)  0.0495 
D)  0.0548 
A)  0.0485 
B)  0.0446 
C)  0.0495 
D)  0.0548

Question 19

The binomial distribution only applies to situations where P = 0.50.

Accepted Answer

A) True 
 B)False

Question 20

In one flip of 10 unbiased coins, what is the probability of getting 8 or more heads?

Accepted Answer

A)  0.0547 
B)  0.0016 
C)  0.0439 
D)  0.0010 
A)  0.0547 
B)  0.0016 
C)  0.0439 
D)  0.0010

If Q = 0.30 then P equals _________.

The probability of 7 P events when N = 10 and P = 0.8 is the same as 3 Q events if Q = 0.2 and N = 10.

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

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).

What is the probability of obtaining 2 or fewer heads if p ( H ) = 0.2 and 7 coins were tossed once?

( P + Q )⁶ = P ⁶ +6 P ⁵ Q ⁵ +15 P ⁴ Q ² + 20 P ³ Q ³ + 15 P ² Q ⁴ + 6 P ⁵ Q ² + Q ⁶. If P = 0.40, what is the exact probability of getting 3 P events? The answer to the previous question is found by evaluating which term in the expanded binomial expansion?

Assuming the binomial distribution is appropriate, if N = 7, P = 0.40, and the number of P events = 2, the number of Q events = _________.

List three commonly encountered situations where the binomial distribution is applicable and explain how the appropriate conditions are met in each.

Table B in your textbook lists the binomial distribution for various N , P and Q values. According to the table, for N = 15, and P = Q = 0.50, p (15+'s) = 0.0000. Is p (15+'s) truly equal to zero? Explain.

Assuming the binomial distribution is appropriate, if N = 6 and P = 0.50, the probability of getting exactly 5 P events = _________.

The binomial expansion equals _________.

For biased coins, the probability of getting 5 heads out of a toss of 5 coins equals the probability of getting 5 tails out of a toss of 5 coins.

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

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

If p ( H ) = 0.75 what is the probability that if 9 coins were tossed once that one would get 6 or more heads?

A smaller N is required to use the normal approximation if P = 0.60 than if P = 0.80.

What is the probability of tossing 6 unbiased coins once and getting 6 heads? What is the probability of getting 6 tails? What is the probability of obtaining either 6 heads or 6 tails?

Suppose you flip 35 biased coins once. The probability of a head with each coin equals 0.30. What is the probability you will get 15 or more heads?

The binomial distribution only applies to situations where P = 0.50.

In one flip of 10 unbiased coins, what is the probability of getting 8 or more heads?

Statistics and Scientific Method

Basic Mathematical and Measurement Concepts

Frequency Distributions

Measures of Central Tendency and Variability

The Normal Curve and Standard Scores

Correlation

Linear Regression

Random Sampling and Probability

Introduction to Hypothesis Testing: Using the Sign Test

Power

Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test

Students T Test for Single Samples

Students T Test for Correlated and Independent Groups

Introduction to the Analysis of Variance

Introduction to the Two-Way Analysis of Variance

Chi-Square and Other Nonparametric Tests

Filters

Exam 9: Binomial Distribution

If Q = 0.30 then P equals _________.

The probability of 7 P events when N = 10 and P = 0.8 is the same as 3 Q events if Q = 0.2 and N = 10.

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

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).

What is the probability of obtaining 2 or fewer heads if p ( H ) = 0.2 and 7 coins were tossed once?

( P + Q )6 = P 6 +6 P 5 Q 5 +15 P 4 Q 2 + 20 P 3 Q 3 + 15 P 2 Q 4 + 6 P 5 Q 2 + Q 6. If P = 0.40, what is the exact probability of getting 3 P events? The answer to the previous question is found by evaluating which term in the expanded binomial expansion?

Assuming the binomial distribution is appropriate, if N = 7, P = 0.40, and the number of P events = 2, the number of Q events = _________.

List three commonly encountered situations where the binomial distribution is applicable and explain how the appropriate conditions are met in each.

Table B in your textbook lists the binomial distribution for various N , P and Q values. According to the table, for N = 15, and P = Q = 0.50, p (15+'s) = 0.0000. Is p (15+'s) truly equal to zero? Explain.

Assuming the binomial distribution is appropriate, if N = 6 and P = 0.50, the probability of getting exactly 5 P events = _________.

The binomial expansion equals _________.

For biased coins, the probability of getting 5 heads out of a toss of 5 coins equals the probability of getting 5 tails out of a toss of 5 coins.

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

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

If p ( H ) = 0.75 what is the probability that if 9 coins were tossed once that one would get 6 or more heads?

A smaller N is required to use the normal approximation if P = 0.60 than if P = 0.80.

What is the probability of tossing 6 unbiased coins once and getting 6 heads? What is the probability of getting 6 tails? What is the probability of obtaining either 6 heads or 6 tails?

Suppose you flip 35 biased coins once. The probability of a head with each coin equals 0.30. What is the probability you will get 15 or more heads?

The binomial distribution only applies to situations where P = 0.50.

In one flip of 10 unbiased coins, what is the probability of getting 8 or more heads?

Statistics and Scientific Method

Basic Mathematical and Measurement Concepts

Frequency Distributions

Measures of Central Tendency and Variability

The Normal Curve and Standard Scores

Correlation

Linear Regression

Random Sampling and Probability

Introduction to Hypothesis Testing: Using the Sign Test

Power

Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test

Students T Test for Single Samples

Students T Test for Correlated and Independent Groups

Introduction to the Analysis of Variance

Introduction to the Two-Way Analysis of Variance

Chi-Square and Other Nonparametric Tests

Filters

( P + Q )⁶ = P ⁶ +6 P ⁵ Q ⁵ +15 P ⁴ Q ² + 20 P ³ Q ³ + 15 P ² Q ⁴ + 6 P ⁵ Q ² + Q ⁶. If P = 0.40, what is the exact probability of getting 3 P events? The answer to the previous question is found by evaluating which term in the expanded binomial expansion?