Question 1

When   
 is true for a one-way ANOVA, variation of the group means is a reflection of

Accepted Answer

A)  inherent variation 
B)  differential treatment effects 
C)  non-differential treatment effects 
D)  a combination of (a) and (b) above 
A)  inherent variation 
B)  differential treatment effects 
C)  non-differential treatment effects 
D)  a combination of (a) and (b) above

Question 2

One-way analysis of variance is applicable when there are

Accepted Answer

A)  at least two groups 
B)  at least three groups 
C)  at least five groups 
D)  no more than five groups 
A)  at least two groups 
B)  at least three groups 
C)  at least five groups 
D)  no more than five groups

Question 3

The calculated value of F may be expected to follow the distribution of tabled F when there is

Accepted Answer

A)  a positive treatment effect 
B)  a negative treatment effect 
C)  a treatment effect of any kind 
D)  no treatment effect 
A)  a positive treatment effect 
B)  a negative treatment effect 
C)  a treatment effect of any kind 
D)  no treatment effect

Question 4

If there are three groups and   
 then

Accepted Answer

A)  30 
B)  29 
C)  24 
D)     cannot be determined from the above information 
A)  30 
B)  29 
C)  24 
D)     cannot be determined from the above information

Question 5

In ANOVA for repeated measures, to determine if there is a treatment effect the F ratio is

Accepted Answer

A)  s2resid/s2bet 
B)  s2bet/s2total 
C)  s2bet/s2resid 
D)  s2bet/s2w 
A)  s2resid/s2bet 
B)  s2bet/s2total 
C)  s2bet/s2resid 
D)  s2bet/s2w

Question 6

The within-groups variance estimate is calculated by dividing the appropriate sum of squares by

Accepted Answer

A)    
B)  n S1U1B1totalS1U1B0 
C)  nS1U1B1totalS1U1B0 - K 
D)  nS1U1B1total S1U1B0- 1 
A)    
B)  n S1U1B1totalS1U1B0 
C)  nS1U1B1totalS1U1B0 - K 
D)  nS1U1B1total S1U1B0- 1

Question 7

One difference between a planned comparison and Tukey's HSD test is that with the latter

Accepted Answer

A)  a larger difference is required to be declared significant 
B)  a smaller difference is required to be declared significant 
C)  HSD comparisons must be specified in advance 
D)  planned comparisons should be specified after the outcome of the data is known 
A)  a larger difference is required to be declared significant 
B)  a smaller difference is required to be declared significant 
C)  HSD comparisons must be specified in advance 
D)  planned comparisons should be specified after the outcome of the data is known

Question 8

In analysis of variance, if the group sample means were all equal, the calculated value of F would be

Accepted Answer

A)  negative 
B)  zero 
C)  +1.00 
D)  greater than +1.00 
A)  negative 
B)  zero 
C)  +1.00 
D)  greater than +1.00

Question 9

Which, if any, is not a characteristic necessary for F to be distributed according to its tabled values?

Accepted Answer

A)  sampling is random 
B)  group populations are normally distributed 
C)  the numerator and denominator estimates are independent 
D)  sample group means are equal 
A)  sampling is random 
B)  group populations are normally distributed 
C)  the numerator and denominator estimates are independent 
D)  sample group means are equal

When is true for a one-way ANOVA, variation of the group means is a reflection of

One-way analysis of variance is applicable when there are

The calculated value of F may be expected to follow the distribution of tabled F when there is

If there are three groups and then

In ANOVA for repeated measures, to determine if there is a treatment effect the F ratio is

The within-groups variance estimate is calculated by dividing the appropriate sum of squares by

One difference between a planned comparison and Tukey's HSD test is that with the latter

In analysis of variance, if the group sample means were all equal, the calculated value of F would be

Which, if any, is not a characteristic necessary for F to be distributed according to its tabled values?

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

Inference About Correlation Coefficients

An Alternative to Hypothesis Testing: Confidence Intervals

Factorial Analysis of Variance

Chi-Square and Inference About Frequencies

Some Almost Assumption-Free Tests

Filters

Exam 18: Testing for Differences Among Three or More Groups: One-Way Analysis of Variance and Some Alternatives

When is true for a one-way ANOVA, variation of the group means is a reflection of

One-way analysis of variance is applicable when there are

The calculated value of F may be expected to follow the distribution of tabled F when there is

If there are three groups and then

In ANOVA for repeated measures, to determine if there is a treatment effect the F ratio is

The within-groups variance estimate is calculated by dividing the appropriate sum of squares by

One difference between a planned comparison and Tukey's HSD test is that with the latter

In analysis of variance, if the group sample means were all equal, the calculated value of F would be

Which, if any, is not a characteristic necessary for F to be distributed according to its tabled values?

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

Inference About Correlation Coefficients

An Alternative to Hypothesis Testing: Confidence Intervals

Factorial Analysis of Variance

Chi-Square and Inference About Frequencies

Some Almost Assumption-Free Tests

Filters