# Static Analysis

#### Home Analysis Static Analysis

“Static Analysis of Groups Interview Questions and Answers will guide us now that Static analysis, static projection, and static scoring are pejorative terms for statistical analysis for which existing trends are projected into the future simplistically, or beyond what is possible to predict in any manner, producing results often wildly unrealistic. So learn more about Static Analysis of Groups with the help of this Static Analysis of Groups Interview Questions with Answers guide”

## 35 Static Analysis Questions And Answers

1. 3.25

2. 2) 43.29

3. 3) 129.86

4. 4) 42.69

43.29

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### 2⟩ Refer to the example from question 2 again. If you were conducting your analysis in SPSS, what would the fixed factor be?

1. Relationship satisfaction.

2. Depression.

3. Relationship satisfaction and depression are both fixed factors.

4. Attachment style.

Attachment style

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* True

* False

TRUE

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* 0.882

* 0.118

* 0.96933

* <.001

0.882

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1. 23.091

2. 40.509

3. 71.187

4. 7.133

40.509

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### 6⟩ Consider the study in question 2. Which of the below questions would be pertinent to this analysis?

1. Does relationship satisfaction have a significant effect on the relationship between attachment and depression?

2. What would the mean depression score be for the three groups of attachment styles if their levels of relationship satisfaction were constant?

3. What would the mean relationship satisfaction be if levels of depression were constant?

4. What would the means of the groups be on relationship satisfaction if their levels of depression were constant?

What would the means of the groups be on relationship satisfaction if their levels of depression were constant?

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1. 2, 30

2. 2, 26

3. 1, 29

4. 3, 26

2, 26

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### 8⟩ Using the example in the text book (which begins on p. 471), which variable is the covariate in this study?

1. Errors on a driving simulator.

2. Driving experience.

3. Alcohol condition.

4. Both alcohol level and driving experience.

Driving experience

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1. 0.391

2. 0.882

3. 0.14265

4. 0.609

0.609

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### 10⟩ What are the two main reasons for using ANCOVA?

1. To increase error variance AND to adjust the means on the covariate so that the mean covariate score is the same for all participants.

2. To reduce error variance AND to explore patterns of correlations.

3. To reduce error variance AND to correct the means on the covariate.

4. To reduce error variance AND to adjust the means on the covariate so that the mean covariate score is the same for all groups.

To reduce error variance AND to adjust the means on the covariate so that the mean covariate score is the same for all groups

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### 11⟩ You are conducting a study. The IV is attachment style. There are three groups of individuals with different attachment styles; these are secure, dismissing, and fearful. You want to explore whether these differ on their scores of relationship satisfaction. The DV is relationship satisfaction. You are aware, however, that relationship satisfaction is known to co vary with depression. You conduct an ANCOVA with this data. The formula will remove the variance due to the association between which two variables?

1. Secure attachment and relationship satisfaction.

2. Depression and attachment style.

3. Depression and relationship satisfaction.

4. Attachment style and relationship satisfaction.

Depression and relationship satisfaction

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### 12⟩ In the example in question 12 there are 3 groups to consider. If you found that the groups differed significantly on reading ability, what might you use to further explore these group differences?

1. You would have to examine partial eta squared to see which of the groups the difference was between.

2. You would have to examine Pearson's correlations to see which of the groups the difference was between.

3. You would have to examine pair wise correlations to see which of the groups the difference was between.

4. You would have to examine pair wise comparisons to see which of the groups the difference was between.

You would have to examine pair wise comparisons to see which of the groups the difference was between.

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### 13⟩ Look at the output on p. 470. Which of the following statements is true of the effect of age and group differences?

1. The effect of group differences and the effect of age cannot be compared as they are measured differently and represent different variables.

2. The effect of group differences is larger than the effect of age.

3. The effect of group differences and the effect of age are roughly the same.

4. The effect of group differences is smaller than the effect of age.

The effect of group differences is larger than the effect of age.

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### 14⟩ Consider the hypothetical study presented in question 2. If you were conducting this analysis, what variable would you put into the covariate box?

1. Depression.

2. Relationship satisfaction.

3. Secure attachment.

4. Attachment style.

Depression

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### 15⟩ The defects found in static testing and dynamic testing are same.

False.

During static analysis, program is not executed yet so defects such as missing requirements,programming standard violation etc. can be found while during dynamic testing, program is actually executed so failures can be found.

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### 16⟩ Static analysis is not useful & cost effective way of testing.

False.

Static analysis helps to find defects in documents by reviewing them so defects does not transmit to next phase.

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### 17⟩ Most of the time compilers can be used as static analysis tools.

True.

Static analysis tools are an extension of compiler technology so mostly compiler offers static analysis functionalities.

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### 18⟩ Who generally uses static analysis tools?

Developer.

Static analysis tools are generally used by developer during development and unit testing.

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### 19⟩ What is static analysis tools?

It gives quality information about code without executing it.

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### 20⟩ What are the benefits of static testing?

★ Early feedback of a quality

★ Less rework cost

★ Increased developmental productivity

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