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Author Question: A multiple-comparison procedure for comparing four treatment means produced the confidence intervals ... (Read 209 times)

anshika

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on: Feb 14, 2020

Question 1

A multiple-comparison procedure for comparing four treatment means produced the confidence intervals shown below. Rank the means from smallest to largest. Use solid lines to connect those means which are not significantly different.

(μA - μB): (20, 32)
(μA - μC): (6, 24)
(μA - μD): (3, 21)
(μB - μC): (-17, -5)
(μB - μD): (-22, -6)
(μC - μD): (-13, 1)
◦  B  A
◦ B    A
◦ B  C  D  A
◦ B  C  

Question 2

A multiple-comparison procedure for comparing four treatment means produced the confidence intervals shown below. For each pair of means, indicate which mean is larger or indicate that there is no significant difference.

(μA - μB): (18, 34)
(μA - μC): (7, 23)
(μA - μD): (6, 18)
(μB - μC): (-18, -4)
(μB - μD): (-24, -4)
(μC - μD): (-10, 4)
◦ no significant difference between μA and μB; μA < μC; μA < μD; μB > μC; μB > μD; no significant difference between μC and μD
◦ μA > μB; μA > μC; μA > μD; μB < μC; μB < μD; μC < μD
◦ μA > μB; μA > μC; μA > μD; μB < μC; μB < μD; no significant difference between μC and μD
◦ μA < μB; μA < μC; μA < μD; μB > μC; μB > μD; no significant difference between μC and μD
Statistics ¦ McClave, Sincich, Tamarack ¦ 12th Edition
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Marked as best answer by anshika on Feb 14, 2020

stallen

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Reply #1 on: Feb 14, 2020
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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Daniel Ramos

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Reply #2 on: Dec 11, 2021
Thank You!


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