Anova mcqs - Electric Circuits (11th Edition) PDF

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Electric Circuits (11th Edition)...

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Evaluation and Explanation through One-Way ANOVA

15 MCQS

Submitted to: Dr. Nazeer Anjum Shb

Submitted by: Muhammad Saad Afzal Zeeshan Ahmed Siddiqui

(18-MS-PT-AMD-08) (18-MS-PT-AMD-23)

University of Engineering and Technology Taxila

1. In the analysis of variance (ANOVA), a factor is: a) b) c) d)

A dependent variable A set of related treatments, categories or conditions A variable that is confounded or entangled with the independent variable A covariate, that is, a variable that correlates with the dependent variable.

2. The one-way (or one-factor between subjects) ANOVA tests the hypothesis that, in the population: a) b) c) d)

All the group means have the same value All the group means don’t have the same value All the means have different values Grand means is different as of sample means

3. a) b) c) d)

In the analysis of variance (ANOVA), the measure is The independent variable in the study An extraneous variable that confounds the effects of the independent variable The dependent variable in the study A covariate

4. a) b) c) d)

In the statistical model on which the one–way ANOVA is predicated, it is assumed that: In the population, there is homogeneity of variance across treatment groups There is always some basis for pairing the scores in any two groups Participants under different conditions are tested by different experimenters In the population, there is homogeneity of covariance

5. a) b) c) d)

In the one-way ANOVA, the F statistics is used to: Measure the average variance across the different treatment groups Compare the between groups and within groups variance estimates Measure the magnitude of the within groups or error variance Compare the between groups variance estimate with the total variance

6. a) b) c) d)

In the one-way ANOVA, the degrees of freedom of between the group is Number of groups minus 1 Number of groups multiplied by n Number of samples minus number of treatments Total no of observations minus 1

7. a) b) c) d)

What are the two types of variance which can occur in your data? Indepndent and cofounding Between or within groups Experimenter and participant Repeated and extraneous

8. a) b) c) d)

What do ANOVA calculate? T-scores Chi square Z-scores F ratios

9. a) b) c) d) e)

Which of the following assumptions must be met to use an ANOVA? The dependent variable must be interval or ratio Homogeneity of variance Random sampling of cases Data must be normally distributed All of these

10. a) b) c) d)

Analysis of variance is a stistical method of comparing the ______ of several populations Standard deviation Variances Means Proportions

11. Larger Sum of Square for group (SSG) indicates large variation between sample means, which support a) Null hypothesis b) Alternate hypothesis c) ANOVA d) Homogeneity

12. In one-way ANOVA, which of the following is used within the F-fatio as a measurement of the variance of individual observations? a) MSG b) MSE c) SSE d) SSG

13. a) b) c) d)

The expected value or expectation of a statistic such as F is: One minus the actual value of F The experimenter’s confidence that the statistic will have a certain value Its variance with repeated sampling Its long run mean value with repeated sampling

14. a) b) c) d)

In the F–ratio for the one–factor, between subjects ANOVA, the error term is The numerator of the F ratio The mean of the cell variances The mean of the cell standard deviation The variance of the cell means

15. a) b) c) d)

If computational value of F is less than table value of F then will we will: Accept the null hypothesis Reject the null hypothesis Accept the alternate hypothesis Reject the alternate hypothesis...