Match the points under Column A with those under Column B.
i-d, ii-c, iii-b, iv-a
Option 3 is correct. The correct matching is: i-a, ii-c, iii-b, iv-d.
For the ANOVA table
| Source of variations | Sum of squares | Degree of freedom |
| Between treatment | 75 | 3 |
| Error | 48 | 16 |
| Total | 123 | 19 |
the F - statistics is
For the ANOVA table
| Source of variations | Sum of squares | Degrees of freedom |
| Between treatment | 45 | 3 |
| Error | 32 | 16 |
| Total | 99 | 19 |
the F - statistics is:
For the ANOVA, which of the following options is INCORRECT?
In a two-way ANOVA table
| Source of Variation | Degree of Freedom | Sum of square | Mean sum of squares | F |
| Due to Level A | 2 | 294 | 147 | F A |
| Due to Level B | 2 | 6 | 3 | F B |
| Due to error | 4 | 12 | 3 | |
| Total | x | 312 |
the value of x, F A, F Bare:
For the ANOVA, which option is wrong?
In a 3 races, 2 genders and 5 in each treatment group for two-way ANOVA, the degree of freedom for source of variation due to interaction, error and total respective are
The Pearson's correlation coefficient between following observation
| X: | 1 | 2 | 3 | 4 |
| Y: | 3 | 4 | 2 | 1 |
is -0.8. If each observation of X is halved and of Y is doubled, then Pearson's correlation coefficient equals to
Which of the following comes under the category of random errors?
In a research study, the effect of three independent variables such as gender, socioeconomic status of the family and locus of control on scholastic performance in social studies was to be ascertained. The dependnent variable was measured using an interval scale. Which of the following statistical techniques will be considered appropriate for this data?
Match List I with List II:
List I (Type of Test) | List II (Subject matter of the problem) | ||
A. | Kruskal-Wallis test | I. | Parametric test to compare means of more than two population groups. |
B. | Z-test | II. | Non-parametric test to compare means of more than two population groups. |
C. | ANOVA test | III. | Non-parametric test to test the goodness of fit. |
D. | Chi-square test | IV. | Testing the difference between means of two sample groups. |