Other things being equal, as the sample size increases the critical value for the Pearson's r
a. increases.
b. decreases.
c. is not affected.
d. becomes more precise.
e. a and d
Ques. 2What is meant by statistical equivalence? How does a researcher achieve it?
What will be an ideal response?
Ques. 3If a computed Pearson's correlation coefficient is statistically significant at the .01 level,
a. the correlation coefficient is extremely accurate.
b. the two variables are positively correlated.
c. an important relationship is evident.
d. it is highly likely that a relationship exists between the two variables in the population.
e. it is highly unlikely that a relationship exists between the two variables in the population.
Ques. 4Distinguish between random selection and random assignment.
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Ques. 5In a sample of 18, the correlation between intelligence test scores and creativity test scores was found to be .40 . Do these data provide evidence for a significant relationship between these variables in the population? Test at the .05 level of significance (two tailed). Table A5 shows a correlation of .4683 for 16 degrees of freedom.
a. These data provide evidence of a significant relationship between intelligence and creativity.
b. These data do not provide evidence of a significant relationship between intelligence and creativity.
c. The significance of the relationship cannot be determined from the data given.
Ques. 6Distinguish the Hawthorne effect from the John Henry effect in experimental research.
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Ques. 7When testing the statistical significance of a correlation coefficient, the null hypothesis states
a. p = 0, the population correlation is zero.
b. p = +1.00 or -1.00, the population correlation is +1.00 or -1.00.
c. r = 0, the sample correlation is zero.
d. r = +1.00 or -1.00 the sample correlation is +1.00 or -1.00.
Ques. 8List five threats to the internal validity of an experimental design.
What will be an ideal response?
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