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1. When applying one-way analysis of variance (ANOVA), all the following are key assumptions that should be satisfied EXCEPT: A. Samples are obtained independently and randomly from the population defined by the factor level. B. The mean of the samples taken from the population is always equal. C. The population at each factor level is approximately normally distributed. D. The population have a common variance. 4. The sum of squares for treatment (SST) measures: A. the variation above the k sample means. B. the variation below the k sample means. C. the variation between the k sample means. D. the variation within the k sample means. 5. Which of the following is NOT true for the F- distribution? A. It is generally skewed to the left. B. It has two degrees of freedom. C. It is continuous. 2. Which of the following components in an ANOVA table are NOT additive? A. Mean squares B. Degree of freedom C. Sum of squares D. It is not possible to tell. 3. The degree of freedom for the F test in a one- way ANOVA are: A. (n-1) and (k-n) D. Its units are non-negative. 6. In a one-way ANOVA, if the computed F statistic exceeds the critical F value, we may: A. accept H, because a mistake has been made. B. reject H, since there is evidence of some difference in the means. C. accept Hosince there is no evidence of a difference. D. reject H, since there is evidence all the means differ. B. (n-k) and (k-1) C. (k-n) and (n−) -1) D. (k-1) and (n-k) 7. In analysis of variance, what does H, represent? A. Standard deviation B. Null hypothesis C. Degree of freedom D. Alternative hypothesis

1. When applying one-way analysis of variance (ANOVA), all the following are key assumptions that should be satisfied EXCEPT: A. Samples are obtained independently and randomly from the population defined by the factor level. B. The mean of the samples taken from the population is always equal. C. The population at each factor level is approximately normally distributed. D. The population have a common variance. 4. The sum of squares for treatment (SST) measures: A. the variation above the k sample means. B. the variation below the k sample means. C. the variation between the k sample means. D. the variation within the k sample means. 5. Which of the following is NOT true for the F- distribution? A. It is generally skewed to the left. B. It has two degrees of freedom. C. It is continuous. 2. Which of the following components in an ANOVA table are NOT additive? A. Mean squares B. Degree of freedom C. Sum of squares D. It is not possible to tell. 3. The degree of freedom for the F test in a one- way ANOVA are: A. (n-1) and (k-n) D. Its units are non-negative. 6. In a one-way ANOVA, if the computed F statistic exceeds the critical F value, we may: A. accept H, because a mistake has been made. B. reject H, since there is evidence of some difference in the means. C. accept Hosince there is no evidence of a difference. D. reject H, since there is evidence all the means differ. B. (n-k) and (k-1) C. (k-n) and (n−) -1) D. (k-1) and (n-k) 7. In analysis of variance, what does H, represent? A. Standard deviation B. Null hypothesis C. Degree of freedom D. Alternative hypothesis

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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1. When applying one-way analysis of variance (ANOVA), all the following are key assumptions that should be satisfied EXCEPT: A. Samples are obtained independently and randomly from the population defined by the factor level. B. The mean of the samples taken from the population is always equal. C. The population at each factor level is approximately normally distributed. D. The population have a common variance. 4. The sum of squares for treatment (SST) measures: A. the variation above the k sample means. B. the variation below the k sample means. C. the variation between the k sample means. D. the variation within the k sample means. 5. Which of the following is NOT true for the F- distribution? A. It is generally skewed to the left. B. It has two degrees of freedom. C. It is continuous. D. Its units are non-negative. 2. Which of the following components in an ANOVA table are NOT additive? A. Mean squares B. Degree of freedom C. Sum of squares D. It is not possible to tell. 3. The degree of freedom for the F test in a one- way ANOVA are: A. (n-1) and (k-n) B. (n-k) and (k-1) 6. In a one-way ANOVA, if the computed F statistic exceeds the critical F value, we may: A. accept Hbecause a mistake has been made. B. reject Ho since there is evidence of some difference in the means. C. accept H, since there is no evidence of a difference. D. reject H, since there is evidence all the 0 means differ. C. (k-n) and (n-1) D. (k-1) and (n-k) 7. In analysis of variance, what does H₁ represent? A. Standard deviation B. Null hypothesis C. Degree of freedom D. Alternative hypothesis
Transcribed Image Text:1. When applying one-way analysis of variance (ANOVA), all the following are key assumptions that should be satisfied EXCEPT: A. Samples are obtained independently and randomly from the population defined by the factor level. B. The mean of the samples taken from the population is always equal. C. The population at each factor level is approximately normally distributed. D. The population have a common variance. 4. The sum of squares for treatment (SST) measures: A. the variation above the k sample means. B. the variation below the k sample means. C. the variation between the k sample means. D. the variation within the k sample means. 5. Which of the following is NOT true for the F- distribution? A. It is generally skewed to the left. B. It has two degrees of freedom. C. It is continuous. D. Its units are non-negative. 2. Which of the following components in an ANOVA table are NOT additive? A. Mean squares B. Degree of freedom C. Sum of squares D. It is not possible to tell. 3. The degree of freedom for the F test in a one- way ANOVA are: A. (n-1) and (k-n) B. (n-k) and (k-1) 6. In a one-way ANOVA, if the computed F statistic exceeds the critical F value, we may: A. accept Hbecause a mistake has been made. B. reject Ho since there is evidence of some difference in the means. C. accept H, since there is no evidence of a difference. D. reject H, since there is evidence all the 0 means differ. C. (k-n) and (n-1) D. (k-1) and (n-k) 7. In analysis of variance, what does H₁ represent? A. Standard deviation B. Null hypothesis C. Degree of freedom D. Alternative hypothesis
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