Question 1

A significant correlation ($\alpha$ = .01). is obtained for a sample of 1,000 cases. From this we can infer that

Accepted Answer

A)    is probably large 
B)    is not zero 
C)    is not zero but probably is small 
D)  none of the above 
A)    is probably large 
B)    is not zero 
C)    is not zero but probably is small 
D)  none of the above

Question 2

(a)Suppose the correlation between two variables is reported as "not significant" for a sample of 980 cases. Is it possible to make an adequate interpretation concerning the true degree of relationship from this information alone without knowing the actual value of r? Explain.
(b)Suppose the correlation between two variables is reported as "significant" for a sample of 980 cases. Is it possible to make an adequate interpretation concerning the true degree of relationship from this information alone without knowing the actual value of r? Explain.

Accepted Answer

(a) Yes; for such a large sample, the cr

Question 3

Which procedure, if any, does not require the assumption of a normal bivariate distribution?

Accepted Answer

A)  t test of the hypothesis of no correlation 
B)  estimation of the population correlation coefficient 
C)    test of the hypothesis of no difference between two correlation coefficients 
D)  the assumption is required for all of the above 
A)  t test of the hypothesis of no correlation 
B)  estimation of the population correlation coefficient 
C)    test of the hypothesis of no difference between two correlation coefficients 
D)  the assumption is required for all of the above

Question 4

Fisher's   
 is

Accepted Answer

A)  a kind of z score 
B)  a kind of standard score 
C)  a kind of normalized standard score 
D)  none of the above 
A)  a kind of z score 
B)  a kind of standard score 
C)  a kind of normalized standard score 
D)  none of the above

A significant correlation ( $\alpha$ = .01). is obtained for a sample of 1,000 cases. From this we can infer that

Which procedure, if any, does not require the assumption of a normal bivariate distribution?

Fisher's is

Introduction

Frequency Distributions, Percentiles,

Graphic Representation of Frequency Distributions

Central Tendency

Variability and Standard Z Scores

Standard Scores and the Normal Curve

Correlation

Prediction

Interpretive Aspects of Correlation and Regression

Probability

Random Sampling and Sampling Distributions

Introduction to Statistical Inference: Testing Hypotheses About Single Means Z and T

Interpreting the Results of Hypothesis Testing: Effect Size, Type I and Type II Errors, and Power

Testing Hypotheses About the Difference Between Two Independent Groups

Testing for a Difference

An Alternative to Hypothesis Testing: Confidence Intervals

Testing for Differences Among Three or More Groups: One-Way Analysis of Variance and Some Alternatives

Factorial Analysis of Variance

Chi-Square and Inference About Frequencies

Some Almost Assumption-Free Tests

Filters

Exam 16: Inference About Correlation Coefficients

A significant correlation ( α\alphaα = .01). is obtained for a sample of 1,000 cases. From this we can infer that

Which procedure, if any, does not require the assumption of a normal bivariate distribution?

Fisher's is

Introduction

Frequency Distributions, Percentiles,

Graphic Representation of Frequency Distributions

Central Tendency

Variability and Standard Z Scores

Standard Scores and the Normal Curve

Correlation

Prediction

Interpretive Aspects of Correlation and Regression

Probability

Random Sampling and Sampling Distributions

Introduction to Statistical Inference: Testing Hypotheses About Single Means Z and T

Interpreting the Results of Hypothesis Testing: Effect Size, Type I and Type II Errors, and Power

Testing Hypotheses About the Difference Between Two Independent Groups

Testing for a Difference

An Alternative to Hypothesis Testing: Confidence Intervals

Testing for Differences Among Three or More Groups: One-Way Analysis of Variance and Some Alternatives

Factorial Analysis of Variance

Chi-Square and Inference About Frequencies

Some Almost Assumption-Free Tests

Filters

A significant correlation ( $\alpha$ = .01). is obtained for a sample of 1,000 cases. From this we can infer that