Suppose one experimenter decides to test a treatment with only one experimental group and one control group, while another experimenter tests different levels of the same treatment with three different groups of participants. How will this affect the way in which the two experimenters conduct their statistical analysis?
A) this will not make a difference in how they analyze their data
B) the first should use a lower significance level than the second
C) the second should analyze differences in groups means while the first should analyze differences in group variability
D) the first would conduct a t test, while the second would start with an analysis of variance and if significant) then conduct post hoc tests to determine which groups are significantly different.

Question

Quizplus · Accepted Answer

The first experimenter, with one experimental group and one control group, would typically use a t-test to compare the means of these two groups. The second experimenter, with different levels of treatment across three groups, would start with an Analysis of Variance (ANOVA) to determine if there are any statistically significant differences among the group means. If the ANOVA is significant, post hoc tests would then be conducted to identify which specific groups differ from each other.

Suppose One Experimenter Decides to Test a Treatment with Only