Question 1

One type of computer-intensive method is a(n)__________.

Accepted Answer

randomization test,a

Question 2

Which of the following is a disadvantage that is applicable to rank-order tests but not data transformations?

Accepted Answer

A) They may distort the scores in ways that make the scores lose their original meaning. 
B) They do not always make the data normal in all groups. 
C) They cannot always be used. 
D) They must be analyzed using less familiar nonparametric tests. 
A) They may distort the scores in ways that make the scores lose their original meaning. 
B) They do not always make the data normal in all groups. 
C) They cannot always be used. 
D) They must be analyzed using less familiar nonparametric tests.

Question 3

Which of the following represents the correct scores if 1,4,25,and 81 are transformed using the rank-order method?

Accepted Answer

A) 1,2,5,9 
B) 1,4,25,81 
C) 4,4,25,25 
D) 1,2,3,4 
A) 1,2,5,9 
B) 1,4,25,81 
C) 4,4,25,25 
D) 1,2,3,4

Question 4

In general,the t test and the analysis of variance are

Accepted Answer

A) dependent on five basic assumptions. 
B) free of assumptions. 
C) sensitive to violations of assumptions. 
D) robust to violations of assumptions. 
A) dependent on five basic assumptions. 
B) free of assumptions. 
C) sensitive to violations of assumptions. 
D) robust to violations of assumptions.

Question 5

The null hypothesis in a rank-order test for two groups is that the two populations have the same __________.

Accepted Answer

The answer of The null hypothesis in a rank-order test...

Question 6

Which transformation has the strongest influence on a positively skewed distribution?

Accepted Answer

A) square-root 
B) log 
C) inverse 
D) reflection 
A) square-root 
B) log 
C) inverse 
D) reflection

Question 7

Which of the following represents the correct scores if 4,25,25,and 100 are transformed using the rank-order method?

Accepted Answer

A) 2,5,5,10 
B) 1,2.5,2.5,4 
C) 1,2,3,4 
D) 1.5,2,3.5,4 
A) 2,5,5,10 
B) 1,2.5,2.5,4 
C) 1,2,3,4 
D) 1.5,2,3.5,4

Question 8

A researcher wants to compare attitudes towards fraternities at two different colleges using a t test for independent means.The scores for five randomly selected students at College A were 1,9,16,25,and 49.The scores for five randomly selected students at College B were 9,25,36,49,and 81.
-After applying a square-root transformation,the attitude scores for College B are __________.

Accepted Answer

The answer of A researcher wants to compare attitudes towards...

Question 9

In a rank-order procedure,scores of 7,8,15,and 15 would be converted to __________.(Give a list of numbers.)

Accepted Answer

The answer of In a rank-order procedure,scores of 7,8,15,and 15...

Question 10

Assumptions for statistical procedures are about

Accepted Answer

A) populations. 
B) samples. 
C) inferences. 
D) hypotheses. 
A) populations. 
B) samples. 
C) inferences. 
D) hypotheses.

Question 11

Which procedure can be performed without the aid of computers?

Accepted Answer

A) approximate randomization test 
B) Mann-Whitney U test 
C) bootstrap test 
D) randomization test 
A) approximate randomization test 
B) Mann-Whitney U test 
C) bootstrap test 
D) randomization test

One type of computer-intensive method is a(n)__________.

Which of the following is a disadvantage that is applicable to rank-order tests but not data transformations?

Which of the following represents the correct scores if 1,4,25,and 81 are transformed using the rank-order method?

In general,the t test and the analysis of variance are

The null hypothesis in a rank-order test for two groups is that the two populations have the same __________.

Which transformation has the strongest influence on a positively skewed distribution?

Which of the following represents the correct scores if 4,25,25,and 100 are transformed using the rank-order method?

In a rank-order procedure,scores of 7,8,15,and 15 would be converted to __________.(Give a list of numbers.)

Assumptions for statistical procedures are about

Which procedure can be performed without the aid of computers?

Displaying the Order in a Group of Numbers

Central Tendency and Variability

Some Key Ingredients for Inferential Statistics: Z Scores,the Normal Curve, Sample Versus Population, and Probability

Introduction to Hypothesis Testing

Hypothesis Tests With Means of Samples

Making Sense of Statistical Significance:decision Errors, Effect Size, and Statistical Power

Introduction to T Tests: Single Sample and Dependent Means

The T Test for Independent Means

Introduction to the Analysis of Variance

Factorial Analysis of Variance

Correlation

Prediction

Chi-Square Tests

The General Linear Model and Making Sense of Advanced Statistical Procedures in Research Articles

Filters

Exam 14: Strategies When Population Distributions Are Not Normal: Data Transformations and Rank-Order Tests

One type of computer-intensive method is a(n)__________.

Which of the following is a disadvantage that is applicable to rank-order tests but not data transformations?

Which of the following represents the correct scores if 1,4,25,and 81 are transformed using the rank-order method?

In general,the t test and the analysis of variance are

The null hypothesis in a rank-order test for two groups is that the two populations have the same __________.

Which transformation has the strongest influence on a positively skewed distribution?

Which of the following represents the correct scores if 4,25,25,and 100 are transformed using the rank-order method?

In a rank-order procedure,scores of 7,8,15,and 15 would be converted to __________.(Give a list of numbers.)

Assumptions for statistical procedures are about

Which procedure can be performed without the aid of computers?

Displaying the Order in a Group of Numbers

Central Tendency and Variability

Some Key Ingredients for Inferential Statistics: Z Scores,the Normal Curve, Sample Versus Population, and Probability

Introduction to Hypothesis Testing

Hypothesis Tests With Means of Samples

Making Sense of Statistical Significance:decision Errors, Effect Size, and Statistical Power

Introduction to T Tests: Single Sample and Dependent Means

The T Test for Independent Means

Introduction to the Analysis of Variance

Factorial Analysis of Variance

Correlation

Prediction

Chi-Square Tests

The General Linear Model and Making Sense of Advanced Statistical Procedures in Research Articles

Filters