3. Using logic to compare samples with different sources of variation Two hypothetical outcomes for the same repeated-measures experiment are shown. Outcome A Treatment II III 100 110 120 101 111 122 102 112 123 103 113 121 Participant I A B C D D Outcome B Participant I A B C Treatment II 100 101 101 105 105 106 110 110 110 115 116 115 III

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Chapter8: Sequences, Series, And Probability
Section8.CT: Chapter Test
Problem 24CT: Show the sample space of the experiment: toss a fair coin three times.
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3. Using logic to compare samples with different sources of variation
Two hypothetical outcomes for the same repeated-measures experiment are shown.
Participant I
A
B
C
D
Outcome A
B
C
D
Treatment
II
III
100 110 120
101 111
Participant I
A
102
103 113
Outcome B
122
112 123
121
Treatment
II
105
100 101 101
105 106
110
115
III
110 110
115
116
Transcribed Image Text:3. Using logic to compare samples with different sources of variation Two hypothetical outcomes for the same repeated-measures experiment are shown. Participant I A B C D Outcome A B C D Treatment II III 100 110 120 101 111 Participant I A 102 103 113 Outcome B 122 112 123 121 Treatment II 105 100 101 101 105 106 110 115 III 110 110 115 116
For each outcome, consider the scores and note how they vary from treatment to treatment and from participant to participant (without making any
calculations). Then answer the following questions by comparing outcome A to outcome B.
Outcome A appears to have
Outcome A appears to have
between-treatments variance than (as) outcome B.
between-subjects variance than (as) outcome B.
Assuming that the variability caused by random and unsystematic factors is the same in the two outcomes, you can predict that outcome A has
F-ratio than (as) outcome B.
Transcribed Image Text:For each outcome, consider the scores and note how they vary from treatment to treatment and from participant to participant (without making any calculations). Then answer the following questions by comparing outcome A to outcome B. Outcome A appears to have Outcome A appears to have between-treatments variance than (as) outcome B. between-subjects variance than (as) outcome B. Assuming that the variability caused by random and unsystematic factors is the same in the two outcomes, you can predict that outcome A has F-ratio than (as) outcome B.
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