Question 1

In what sense are the correlated groups t test and the independent groups t test equivalent?

Accepted Answer

A correlated groups t test is

Question 2

Dr.Miguel is studying stages of verbal ability in kids.He test the kids on verbal ability at age 5 years then again at age of 7.What type of statistical test should he use to analyze his data?

Accepted Answer

A) one-sample z test 
B) independent-groups t test 
C) correlated-groups t test 
D) Pearson correlation 
A) one-sample z test 
B) independent-groups t test 
C) correlated-groups t test 
D) Pearson correlation

Question 3

The interpretation of eta-squared for the correlated groups t test is the same as that for the independent groups t test.

Accepted Answer

A) True 
 B)False

Question 4

The correlated groups t-test assumes the population of difference scores is normally distributed.

Accepted Answer

A) True 
 B)False

Question 5

When the population means in the two conditions defining the difference scores are _____,the mean difference score across all individuals in the population will equal _____.

Accepted Answer

A) equivalent;0 
B) nonequivalent;0 
C) equivalent;1.0 
D) none of these 
A) equivalent;0 
B) nonequivalent;0 
C) equivalent;1.0 
D) none of these

In what sense are the correlated groups t test and the independent groups t test equivalent?

Dr.Miguel is studying stages of verbal ability in kids.He test the kids on verbal ability at age 5 years then again at age of 7.What type of statistical test should he use to analyze his data?

The interpretation of eta-squared for the correlated groups t test is the same as that for the independent groups t test.

The correlated groups t-test assumes the population of difference scores is normally distributed.

When the population means in the two conditions defining the difference scores are _,the mean difference score across all individuals in the population will equal _.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T -Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 11: Correlated Groups T-Test

In what sense are the correlated groups t test and the independent groups t test equivalent?

Dr.Miguel is studying stages of verbal ability in kids.He test the kids on verbal ability at age 5 years then again at age of 7.What type of statistical test should he use to analyze his data?

The interpretation of eta-squared for the correlated groups t test is the same as that for the independent groups t test.

The correlated groups t-test assumes the population of difference scores is normally distributed.

When the population means in the two conditions defining the difference scores are _____,the mean difference score across all individuals in the population will equal _____.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T -Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

When the population means in the two conditions defining the difference scores are _,the mean difference score across all individuals in the population will equal _.