In: Math
5. When you are evaluating the difference between population means (quantitative dependent variable), with more than 2 categories of the independent variable, the most appropriate statistical test to utilize would be a one variable chi-square test.
|
6. A calculated correlation coefficient of 0.99 between variables A and B implies that variable A causes variable B.
True |
False |
7. Which of the following is NOT a possible value for a calculated F statistic?
21.64 |
0.92 |
4.82 |
-2.19 |
All of the listed choices are possible values for a calculated F statistic. |
8. A large student organization at CSUN claims it has an equal distribution of people from each of the 9 colleges (e.g., business, humanities). You are interested in investigating whether or not this claim is accurate. To do so, you first take a sample of students from the organization. What would be the most appropriate test to utilize with your sample data to help answer this research question?
One-factor ANOVA |
One variable chi-square test |
Two variable chi-square test |
Correlation |
None of the above tests would be appropriate. |
9. You are presented with 4 different correlation coefficients (r): 0.65, -0.34, -0.86, and 0.19. Which of the following lists correctly represents the 4 r’s placed in order of strength from weakest to strongest.
-0.86, -0.34, 0.19, 0.65 |
0.19, -0.34, 0.65, -0.86 |
0.65, 0.19, -0.34, -0.86 |
-0.34, -0.86, 0.65, 0.19 |
0.65, -0.86, 0.19, -0.34 |
10.
In which direction is the χ2 (chi-square) distribution skewed?
Positively |
Negatively |
No skew |
Below 0 |
None of the listed choices are correct. |
5. When you are evaluating the difference between population means (quantitative dependent variable), with more than 2 categories of the independent variable, the most appropriate statistical test to utilize would be a one variable chi-square test.
when more then 2 group we go for ONE WAY ANOVA to test for difference in means
FALSE
Solution6:
r=0.9
correaltion gives relationship between 2 variables
correlation does not imply causation
FALSE
Solution7:
7. Which of the following is NOT a possible value for a calculated F statistic?
F statistic ca n never be negative
For ex:
take 3 groups x,y,z
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 14.83333 | 2 | 7.416667 | 0.635714 | 0.557585 | 4.737414 |
Within Groups | 81.66667 | 7 | 11.66667 | |||
From ANOVA table we see F is positive |
ANSWER:
-2.19
see this table
-0.86, -0.34, 0.19, 0.65
Positively