Testing Relationships using Correlation Coefficient MCQs
Testing Relationships using Correlation Coefficient MCQs
Try to answer these Testing Relationships using Correlation Coefficient MCQs and check your understanding of the Testing Relationships using Correlation Coefficient subject.
Scroll down and let's begin!
1: If after calculating a correlated-groups t test you find that it is equal to zero, then ______.
A. The two means differ significantly
B. The two means do not differ significantly
C. You have done something wrong
D. The two population means differ significantly
2: What is the name of the Greek letter ρ?
A. Phi
B. Rho
C. Chi
D. Alpha
3: What does the shape of any particular sampling distribution of a correlation coefficient depend on?
A. Df
B. R
C. µ
D. P
4: Which of the following is an example of a null hypothesis for testing a correlation coefficient?
A. H1: ρxy = 0
B. H1: ρxy > 0
C. H0: ρxy = 0
D. H0: ρxy > 0
5: How many degrees of freedom do we have in significance testing of r?
A. N - 2, where N equals the total number of Xs plus the total number of Ys
B. N - 2, where N equals the total number of pairs of scores
C. N - 1, where N equals the total number of pairs of scores
D. N - 1, where N equals the total number of Xs plus the total number of Ys
6: The null hypothesis in a two-tailed significance test of correlation states that ______.
A. A correlation exists in the population
B. No correlation exists in the population
C. A positive correlation exists in the population
D. A negative correlation exists in the population
7: If the null hypothesis is TRUE, then the t test should be close to ______.
A. 0.00
B. ±1.65
C. ±1.96
D. ±3.00
8: If the null hypothesis is not supported, then the t test should be ______.
A. 0.00
B. ±1.00
C. Greater than ±1.00
D. A negative number
9: This chapter illustrates that you can also incorporate ______ into the correlation coefficient.
A. Statistical significance
B. Substantial significance
C. Descriptive statistics
D. Generalizability
10: A correlated-groups t test ______.
A. Compares sample means for two related groups
B. Compares sample means for two unrelated groups
C. Compares standard deviations for two unrelated group
D. Compares sample means for three or more unrelated groups
11: The alternative hypothesis in a two-tailed significance test of correlation states that ______.
A. A correlation exists in the population
B. No correlation exists in the population
C. A positive correlation exists in the population
D. A negative correlation exists in the population
12: Which of the following statements about the correlation coefficient is TRUE?
A. One should not accept that a correlation coefficient represents a relationship unless it is significant.
B. Unless a correlation coefficient is zero, it represents a relationship.
C. Positive correlation coefficients tend to be significant more often than negative ones.
D. Sampling error does not apply to the correlation coefficient.
13: Which of the following is one of the assumptions for hypothesis testing of the Pearson’s correlation coefficient?
A. The X-Y pairs are ordinal scores.
B. There is random sampling of X-Y pairs.
C. The dependent variable comes from a population that has a normal distribution.
D. The independent variable comes from a population that has a normal distribution.
List of Testing Relationships ...
Available in:
Testing Relationships using Correlation Coefficient MCQs
