What do the t-test and the ANOVA have in common? (Select all that ...

[CBme]

What do the t-test and the ANOVA have in common? (Select all that apply.)
 
  a. They are both used when the dependent variable is ordinal.
  b. They both assume a normal distribution.
  c. They both compare groups to decide if they are the same or different.
  d. They both can be used to compare two groups.
  e. They both require secondary post hoc analyses.
  f. They both use the same statistical tables for interpretation of results.
  g. They are both parametric analyses.

Question 2

Which of the following results would represent statistical significance, if the level of significance were set at .05 for each? (Select all that apply.)
 
  a. t = 8.43, p <.01
  b. X2 = 10.83, p <0.1
  c. F = 2.37, p <0.07
  d. r = 0.2, p = .23
  e. rs = .74, p = .049

[ju]

Answer to Question 1

ANS: B, C, D, G
The t-test and ANOVA are both parametric analyses; as such, they both assume a normal distribution and cannot be used when the dependent variable is ordinal. Both are used to compare groups, and both can actually be used when there are two groups, although for more than one only the ANOVA is used. If used with three or more categories, the ANOVA requires secondary post hoc analysis if its results are statistically significant. They use the t-test and F-test, respectively, and each has a separate table.

Answer to Question 2

ANS: A, E
The obtained result from the calculation of the statistic is compared with the appropriate table, at the level of significance set by the researcher at the outset of the study. If that is p <.05, it is essential that the correct value be retrieved from the table, for comparison. Researchers often set the level of significance at .05. By that criterion, the two statistically significant values above are p <.01 and p = .049.

[CBme]

Thank you

[ju]

No problemo