Question

In: Math

5. When you are evaluating the difference between population means (quantitative dependent variable), with more than...

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.

True
False

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.

Solutions

Expert Solution

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

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.

see this table

-0.86, -0.34, 0.19, 0.65

CORRECT ANSWER:
-0.86, -0.34, 0.19, 0.65
In which direction is the χ2 (chi-square) distribution skewed?
SKEWED TO RIGHT

Positively


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