Question 1

For a binomial test, if pn = 10 and qn = 90, then n = 100.

Accepted Answer

A) True 
 B)False

Question 2

For binomial data, what is the value of p + q?

Accepted Answer

A) .5 
B) 1.00 
C) 2.00 
D) None of the other 3 choices is correct. 
A) .5 
B) 1.00 
C) 2.00 
D) None of the other 3 choices is correct.

Question 3

Discarding the zero differences for a sign test increase the likelihood of rejecting the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 4

For binomial data, if n = 40 and q = 0.60, then pn = 16.

Accepted Answer

A) True 
 B)False

Question 5

The probability of correctly predicting the outcome of a coin toss is p = ½.What is the standard deviation of the normal approximation to the binomial distribution for the number of correct predictions in a series of 100 tosses?

Accepted Answer

A) 50 
B) $\surd$50 
C) 25 
D) 5 
A) 50 
B) $\surd$50 
C) 25 
D) 5

Question 6

What is the standard deviation for the normal approximation to the binomial distribution with p = ½ and n = 400?

Accepted Answer

A) 200 
B) 100 
C) 25 
D) 10 
A) 200 
B) 100 
C) 25 
D) 10

Question 7

For a binomial distribution based on n = 100, the standard deviation would be larger for p = 0.90 than for p = 0.80.

Accepted Answer

A) True 
 B)False

Question 8

For a binomial test with p = ½ and n = 36, the z-score for X = 21 is z = +1.00.

Accepted Answer

A) True 
 B)False

Question 9

If sample data are suitable for evaluation with a binomial test, what other test could also be used for the same data?

Accepted Answer

A) an analysis of variance. 
B) a test comparing two population means. 
C) the chi square test for goodness of fit. 
D) the Pearson correlation 
A) an analysis of variance. 
B) a test comparing two population means. 
C) the chi square test for goodness of fit. 
D) the Pearson correlation

Question 10

If pn = 20 and qn = 60, then what is the value of n?

Accepted Answer

A) 100 
B) 80 
C) 40 
D) none of the above 
A) 100 
B) 80 
C) 40 
D) none of the above

For a binomial test, if pn = 10 and qn = 90, then n = 100.

For binomial data, what is the value of p + q?

Discarding the zero differences for a sign test increase the likelihood of rejecting the null hypothesis.

For binomial data, if n = 40 and q = 0.60, then pn = 16.

The probability of correctly predicting the outcome of a coin toss is p = ½.What is the standard deviation of the normal approximation to the binomial distribution for the number of correct predictions in a series of 100 tosses?

What is the standard deviation for the normal approximation to the binomial distribution with p = ½ and n = 400?

For a binomial distribution based on n = 100, the standard deviation would be larger for p = 0.90 than for p = 0.80.

For a binomial test with p = ½ and n = 36, the z-score for X = 21 is z = +1.00.

If sample data are suitable for evaluation with a binomial test, what other test could also be used for the same data?

If pn = 20 and qn = 60, then what is the value of n?

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

For a binomial test, if pn = 10 and qn = 90, then n = 100.

For binomial data, what is the value of p + q?

Discarding the zero differences for a sign test increase the likelihood of rejecting the null hypothesis.

For binomial data, if n = 40 and q = 0.60, then pn = 16.

The probability of correctly predicting the outcome of a coin toss is p = ½.What is the standard deviation of the normal approximation to the binomial distribution for the number of correct predictions in a series of 100 tosses?

What is the standard deviation for the normal approximation to the binomial distribution with p = ½ and n = 400?

For a binomial distribution based on n = 100, the standard deviation would be larger for p = 0.90 than for p = 0.80.

For a binomial test with p = ½ and n = 36, the z-score for X = 21 is z = +1.00.

If sample data are suitable for evaluation with a binomial test, what other test could also be used for the same data?

If pn = 20 and qn = 60, then what is the value of n?

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