Exam 14: Experimental Designonline Only

You are filling in the ANOVA table values for an experiment using a randomized complete block design.In the experiment, there are 3 treatment groups, 8 blocks and 24 experimental units.The degrees of freedom that you should assign to the blocks sum of squares is 16.

(True/False)

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Question 41

In an experiment using a randomized complete block design, if the value of F_stat is less than the critical value of F ( F_c or F_crit) for the test, we can conclude that one of more of the treatment means is different from the others.

(True/False)

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Question 42

You are filling in the ANOVA table values for an experiment using a two-factor factorial design.In the experiment, there are three treatments for Factor A and five treatments for Factor B.Two replications are being used for each factor combination.Total sample size must be 15.

(True/False)

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Question 43

You are filling in the ANOVA table values for an experiment using a two-factor factorial design.In the experiment, there are two Factor A treatments, five Factor B treatments, and two replications.The F value (Fstat) for Factor B turns out to be 4.662.In determining the p-value for this result, you should use df1 = 4 and df2 = 10.

(True/False)

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Question 44

In an experimental study the investigator has no ability to directly influence or manipulate any of the elements involved in the investigation.

(True/False)

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Question 45

Below is some of the ANOVA information for a two-factor factorial experiment.Compute the appropriate Fstat value and indicate whether results here show a significant Factor A effect at the 5% significance level.

(Multiple Choice)

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Question 46

You are filling in the ANOVA table values for an experiment using a two-factor factorial design.In the experiment, there are two treatments for Factor A and three treatments for Factor B.Two replications are being used for each factor combination.The degrees of freedom that you should use to compute the Factor B mean square value is 2.

(True/False)

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Question 47

You are filling in the ANOVA table values for an experiment using a randomized complete block design.In the experiment, there are 5 treatment groups and 9 blocks.The treatment sum of squares is 6400.The error sum of squares value is 32000.The F value (Fstat) that will be used to test the "equal treatment means" null hypothesis is

(Multiple Choice)

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Question 48

Below is some of the ANOVA information for an experiment using a randomized complete block design.In the experiment, there are three treatment groups and nine blocks.Report the indicated critical F value if the significance level for the test is set at 5%.

(Multiple Choice)

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Question 49

A completely randomized design is an extension of the matched samples approach.

(True/False)

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Question 50

In a factorial experiment,

(Multiple Choice)

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Question 51

The dependent variable in an experimental study is called a response variable.

(True/False)

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Question 52

A study in which information from a population of interest is gathered without any attempt on the part of those conducting the study to influence the population or to intervene in any way is called a(n)

(Multiple Choice)

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Question 53

Below is a partially complete ANOVA table from an experiment using a randomized complete block design.Report the appropriate Fstat to use in determining whether you can you reject the null hypothesis that there is no difference in the treatment means for the populations represented.Use a significance level of 5% and state your conclusion.

(Multiple Choice)

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Question 54

You are filling in the ANOVA table values for an experiment using a randomized complete block design.In the experiment, there are 3 treatment groups and 8 blocks.The treatment sum of squares is 7200.The error sum of squares value is 4200.The F value (Fstat) that will be used to test the "equal treatment means" null hypothesis is

(Multiple Choice)

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Question 55

You are filling in the ANOVA table values for an experiment using a two-factor factorial design.In the experiment, there are two Factor A treatments, four Factor B treatments, and three replications.The interaction sum of squares value turns out to be 6000.The interaction mean square value must be 750.

(True/False)

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Question 56

Below is some of the ANOVA information for a two-factor factorial experiment.Compute the appropriate Fstat value and indicate whether results here show a significant interaction effect at the 5% significance level.

(Multiple Choice)

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Question 57

Below is some of the ANOVA information for an experiment using a randomized complete block design.In the experiment, there are four treatment groups and six blocks.The significance level for the test is set at 5%.Report the indicated F value and your conclusion.

(Multiple Choice)

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Question 58

In an experiment using a randomized complete block design we usually don't test to see if there are statistically significant differences between block means.

(True/False)

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Question 59

Treatments are the various states or levels that an experimental factor can take on.

(True/False)

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Question 60

Showing 41 - 60 of 64

You are filling in the ANOVA table values for an experiment using a randomized complete block design.In the experiment, there are 3 treatment groups, 8 blocks and 24 experimental units.The degrees of freedom that you should assign to the blocks sum of squares is 16.

In an experiment using a randomized complete block design, if the value of F_stat is less than the critical value of F ( F_c or F_crit) for the test, we can conclude that one of more of the treatment means is different from the others.

You are filling in the ANOVA table values for an experiment using a two-factor factorial design.In the experiment, there are three treatments for Factor A and five treatments for Factor B.Two replications are being used for each factor combination.Total sample size must be 15.

In an experimental study the investigator has no ability to directly influence or manipulate any of the elements involved in the investigation.

Below is some of the ANOVA information for a two-factor factorial experiment.Compute the appropriate Fstat value and indicate whether results here show a significant Factor A effect at the 5% significance level.

Below is some of the ANOVA information for an experiment using a randomized complete block design.In the experiment, there are three treatment groups and nine blocks.Report the indicated critical F value if the significance level for the test is set at 5%.

A completely randomized design is an extension of the matched samples approach.

In a factorial experiment,

The dependent variable in an experimental study is called a response variable.

A study in which information from a population of interest is gathered without any attempt on the part of those conducting the study to influence the population or to intervene in any way is called a(n)

Below is some of the ANOVA information for a two-factor factorial experiment.Compute the appropriate Fstat value and indicate whether results here show a significant interaction effect at the 5% significance level.

Below is some of the ANOVA information for an experiment using a randomized complete block design.In the experiment, there are four treatment groups and six blocks.The significance level for the test is set at 5%.Report the indicated F value and your conclusion.

In an experiment using a randomized complete block design we usually don't test to see if there are statistically significant differences between block means.

Treatments are the various states or levels that an experimental factor can take on.

An Introduction to Statistics

Descriptive Statistics I: Elementary Data Presentation and Description

Descriptive Statistics II: Additional Descriptive Measures and Data Displays

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Statistical Inference: Estimating a Population Mean

Interval Estimates for Proportions, Mean Differences and Proportion Differences

Statistical Hypothesis Testing: Hypothesis Tests for a Population Mean

Hypothesis Tests for Proportions, Mean Differences and Proportion Differences

Basic Regression Analysis

Multiple Regression

F Tests and Analysis of Variance

Chi-Square Tests

Filters

Exam 14: Experimental Designonline Only

You are filling in the ANOVA table values for an experiment using a randomized complete block design.In the experiment, there are 3 treatment groups, 8 blocks and 24 experimental units.The degrees of freedom that you should assign to the blocks sum of squares is 16.

In an experiment using a randomized complete block design, if the value of Fstat is less than the critical value of F ( Fc or Fcrit) for the test, we can conclude that one of more of the treatment means is different from the others.

You are filling in the ANOVA table values for an experiment using a two-factor factorial design.In the experiment, there are three treatments for Factor A and five treatments for Factor B.Two replications are being used for each factor combination.Total sample size must be 15.

In an experimental study the investigator has no ability to directly influence or manipulate any of the elements involved in the investigation.

Below is some of the ANOVA information for a two-factor factorial experiment.Compute the appropriate Fstat value and indicate whether results here show a significant Factor A effect at the 5% significance level.

Below is some of the ANOVA information for an experiment using a randomized complete block design.In the experiment, there are three treatment groups and nine blocks.Report the indicated critical F value if the significance level for the test is set at 5%.

A completely randomized design is an extension of the matched samples approach.

In a factorial experiment,

The dependent variable in an experimental study is called a response variable.

A study in which information from a population of interest is gathered without any attempt on the part of those conducting the study to influence the population or to intervene in any way is called a(n)

Below is some of the ANOVA information for a two-factor factorial experiment.Compute the appropriate Fstat value and indicate whether results here show a significant interaction effect at the 5% significance level.

Below is some of the ANOVA information for an experiment using a randomized complete block design.In the experiment, there are four treatment groups and six blocks.The significance level for the test is set at 5%.Report the indicated F value and your conclusion.

In an experiment using a randomized complete block design we usually don't test to see if there are statistically significant differences between block means.

Treatments are the various states or levels that an experimental factor can take on.

An Introduction to Statistics

Descriptive Statistics I: Elementary Data Presentation and Description

Descriptive Statistics II: Additional Descriptive Measures and Data Displays

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Statistical Inference: Estimating a Population Mean

Interval Estimates for Proportions, Mean Differences and Proportion Differences

Statistical Hypothesis Testing: Hypothesis Tests for a Population Mean

Hypothesis Tests for Proportions, Mean Differences and Proportion Differences

Basic Regression Analysis

Multiple Regression

F Tests and Analysis of Variance

Chi-Square Tests

Filters

In an experiment using a randomized complete block design, if the value of F_stat is less than the critical value of F ( F_c or F_crit) for the test, we can conclude that one of more of the treatment means is different from the others.