Why is it important to assess the magnitude of the result whenever conducting a statistical test?
A) Because some relationships between variables are statistically significant, but the magnitude of the relationship is actually quite small
B) Because some correlations are spurious
C) Because the difference of means test cannot be used on two variables with nominal measurement
D) Because a higher coefficient always means that it will be statistically significant
Correct Answer:
Verified
Q9: Which of the following evaluates whether there
Q10: Which of the following is an example
Q11: A correlation coefficient close to -1 implies:
A)
Q12: A correlation coefficient of 0 implies:
A) an
Q13: A p-value greater than 0.05 would support:
A)
Q14: Correlations are sometimes spurious, meaning that:
A) there
Q15: Which bivariate analysis is most appropriate for
Q16: Which bivariate analysis is most appropriate for
Q18: A p-value of .03 means:
A) that in
Q19: In SPSS, Sig (2-tailed) is the:
A) correlation
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