True or false 1. Pearson\'s correlation coefficient ( r ) requires that both var

ID: 3323877 • Letter: T

Question

True or false

1. Pearson's correlation coefficient (r) requires that both variables be interval or ratio data.

2. The F distribution is never negative and is always skewed right.

3. A simultaneous reduction in both and will require a larger sample size.

4. A negative correlation between two variables X and Y usually yields a negative p-value for r.

5. The Central Limit Theorem says that, if n exceeds 30, the population will be normal.

6. A continuous uniform distribution is always symmetric.

7. When testing the difference between two population proportions, it is necessary to use the same size sample from each population.

8. In comparing estimators, the more efficient estimator will have a smaller standard error.

9. Tukey's test compares pairs of treatment means in an ANOVA.

10. The efficiency of an estimator depends on the variance of the estimator's sampling distribution.

11. Tukey's test for five groups would require 10 comparisons of means.

12. When your sample size increases, the chance of both Type I and Type II error will increase.

13. ANOVA is a procedure intended to compare the variances of several groups (treatments).

Ans True ,because many staristical tehniques requires that both variables be interval or ratio data .

Ans : True

Ans : True. there is a trade-off between alpha and beta ,but with large n we can reduce both.

Ans: False .The pvalue is positive.

Ans : True

Ans : false.It is not necessary to have same population.

Ans: True. Efficiency is measured by the variance of the estimators sampling distribution.

Ans: True

10]

Ans: True

11]

Ans: True

12]

Ans: True

13]

Ans : false . ANOVA compare several means.

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