Question 1

The binomial distribution with p = .10 has a mean of $\mu$ = 10.For this distribution there are n = 100 scores in the sample.

Accepted Answer

A) True 
 B)False

Question 2

For a binomial distribution with p = ½ and n = 30, the value of X ranges from 1 to 30.

Accepted Answer

A) True 
 B)False

Question 3

A binomial distribution has a mean of µ = 40 for a sample of n = 60.What is the value of p?

Accepted Answer

A) 1/3 
B) 2/3 
C) 1.50 
D) 0.5 
A) 1/3 
B) 2/3 
C) 1.50 
D) 0.5

Question 4

For a two-tailed binomial test with n = 100, $\alpha$ = .05, and a null hypothesis stating that p = 0.10, a score of X = 13 would be sufficient to reject the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 5

The binomial distribution with p = ¼ has a standard deviation of 3.For this distribution there are n = 36 scores in the sample.

Accepted Answer

A) True 
 B)False

Question 6

If other factors are held constant, both the mean and standard deviation for the binomial distribution will both increase as the sample size increases.

Accepted Answer

A) True 
 B)False

Question 7

The binomial test is only used when the data consist of classifying each individual into one of two categories.

Accepted Answer

A) True 
 B)False

Question 8

For the binomial test, p = q.

Accepted Answer

A) True 
 B)False

Question 9

The normal approximation is appropriate for binomial data with n = 36 and p = 0.80.

Accepted Answer

A) True 
 B)False

Question 10

In a binomial hypothesis test, the value for X must always be a whole number (not a fraction or decimal value).

Accepted Answer

A) True 
 B)False

Question 11

How are the difference scores coded in a sign test?

Accepted Answer

A) by their ranked size, with increases and decreases ranked separately 
B) by their ranked size, independent of sign (increase or decrease) 
C) as increases (+) or decreases (-) 
D) as probabilities, p and q 
A) by their ranked size, with increases and decreases ranked separately 
B) by their ranked size, independent of sign (increase or decrease) 
C) as increases (+) or decreases (-) 
D) as probabilities, p and q

Question 12

For the normal approximation to the binomial distribution with p = ½ and n = 100, what is the z-score corresponding to X = 60?

Accepted Answer

A) z = 10/25 
B) z = 10/5 
C) z = 5/25 
D) z = 5/5 
A) z = 10/25 
B) z = 10/5 
C) z = 5/25 
D) z = 5/5

Question 13

The sign test can be used as an alternative to the independent-measures t test.

Accepted Answer

A) True 
 B)False

Question 14

A researcher obtains z = 3.00 for a binomial test.If a chi-square test for goodness of fit had been used instead of the binomial test, what value would be obtained for chi-square?

Accepted Answer

A) $\surd$3 
B) 3 
C) 9 
D) Cannot be determined with the information given. 
A) $\surd$3 
B) 3 
C) 9 
D) Cannot be determined with the information given.

Question 15

In a sign test, dividing the zero differences evenly between the two groups will increase the likelihood of rejecting the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 16

The mean for the normal approximation to the binomial distribution is μ = pn.

Accepted Answer

A) True 
 B)False

Question 17

What is the standard deviation for the normal approximation to the binomial distribution with n = 72 and p = 1/3?

Accepted Answer

A) 4 
B) 6 
C) 16 
D) 24 
A) 4 
B) 6 
C) 16 
D) 24

Question 18

Under what circumstances is the normal approximation to the binomial distribution justified?

Accepted Answer

A) pn or qn $\geq$ 10 
B) pn and qn $\geq$ 10 
C) pn = qn 
D) p + q = n 
A) pn or qn $\geq$ 10 
B) pn and qn $\geq$ 10 
C) pn = qn 
D) p + q = n

Question 19

For a binomial distribution with p = ¼ and a mean of $\mu$ = 12, the standard deviation is $\sigma$ = 9.

Accepted Answer

A) True 
 B)False

Question 20

For any binomial distribution, p + q = 1.00.

Accepted Answer

A) True 
 B)False

The binomial distribution with p = .10 has a mean of $\mu$ = 10.For this distribution there are n = 100 scores in the sample.

For a binomial distribution with p = ½ and n = 30, the value of X ranges from 1 to 30.

A binomial distribution has a mean of µ = 40 for a sample of n = 60.What is the value of p?

For a two-tailed binomial test with n = 100, $\alpha$ = .05, and a null hypothesis stating that p = 0.10, a score of X = 13 would be sufficient to reject the null hypothesis.

The binomial distribution with p = ¼ has a standard deviation of 3.For this distribution there are n = 36 scores in the sample.

If other factors are held constant, both the mean and standard deviation for the binomial distribution will both increase as the sample size increases.

The binomial test is only used when the data consist of classifying each individual into one of two categories.

For the binomial test, p = q.

The normal approximation is appropriate for binomial data with n = 36 and p = 0.80.

In a binomial hypothesis test, the value for X must always be a whole number (not a fraction or decimal value).

How are the difference scores coded in a sign test?

For the normal approximation to the binomial distribution with p = ½ and n = 100, what is the z-score corresponding to X = 60?

The sign test can be used as an alternative to the independent-measures t test.

A researcher obtains z = 3.00 for a binomial test.If a chi-square test for goodness of fit had been used instead of the binomial test, what value would be obtained for chi-square?

In a sign test, dividing the zero differences evenly between the two groups will increase the likelihood of rejecting the null hypothesis.

The mean for the normal approximation to the binomial distribution is μ = pn.

What is the standard deviation for the normal approximation to the binomial distribution with n = 72 and p = 1/3?

Under what circumstances is the normal approximation to the binomial distribution justified?

For a binomial distribution with p = ¼ and a mean of $\mu$ = 12, the standard deviation is $\sigma$ = 9.

For any binomial distribution, p + q = 1.00.

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores

Probability

The Distribution of Sample Means

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures Anova

Two-Factor Analysis of Variance

Correlation

Introduction to Regression

Chi-Square Tests

Choosing the Right Statistics

Filters

Exam 18: The Binomial Test

The binomial distribution with p = .10 has a mean of μ\muμ = 10.For this distribution there are n = 100 scores in the sample.

For a binomial distribution with p = ½ and n = 30, the value of X ranges from 1 to 30.

A binomial distribution has a mean of µ = 40 for a sample of n = 60.What is the value of p?

For a two-tailed binomial test with n = 100, α\alphaα = .05, and a null hypothesis stating that p = 0.10, a score of X = 13 would be sufficient to reject the null hypothesis.

The binomial distribution with p = ¼ has a standard deviation of 3.For this distribution there are n = 36 scores in the sample.

If other factors are held constant, both the mean and standard deviation for the binomial distribution will both increase as the sample size increases.

The binomial test is only used when the data consist of classifying each individual into one of two categories.

For the binomial test, p = q.

The normal approximation is appropriate for binomial data with n = 36 and p = 0.80.

In a binomial hypothesis test, the value for X must always be a whole number (not a fraction or decimal value).

How are the difference scores coded in a sign test?

For the normal approximation to the binomial distribution with p = ½ and n = 100, what is the z-score corresponding to X = 60?

The sign test can be used as an alternative to the independent-measures t test.

A researcher obtains z = 3.00 for a binomial test.If a chi-square test for goodness of fit had been used instead of the binomial test, what value would be obtained for chi-square?

In a sign test, dividing the zero differences evenly between the two groups will increase the likelihood of rejecting the null hypothesis.

The mean for the normal approximation to the binomial distribution is μ = pn.

What is the standard deviation for the normal approximation to the binomial distribution with n = 72 and p = 1/3?

Under what circumstances is the normal approximation to the binomial distribution justified?

For a binomial distribution with p = ¼ and a mean of μ\muμ = 12, the standard deviation is σ\sigmaσ = 9.

For any binomial distribution, p + q = 1.00.

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores

Probability

The Distribution of Sample Means

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures Anova

Two-Factor Analysis of Variance

Correlation

Introduction to Regression

Chi-Square Tests

Choosing the Right Statistics

Filters

The binomial distribution with p = .10 has a mean of $\mu$ = 10.For this distribution there are n = 100 scores in the sample.

For a two-tailed binomial test with n = 100, $\alpha$ = .05, and a null hypothesis stating that p = 0.10, a score of X = 13 would be sufficient to reject the null hypothesis.

For a binomial distribution with p = ¼ and a mean of $\mu$ = 12, the standard deviation is $\sigma$ = 9.