Hypothesis Test for More than Two Means, k number of comparison groups >2 Н1: НО is O HO: p1 = p10, p2 = p20,..pk = pk0 false (where p = proportion of participants in a specific category) %3D O HO: m1 = m2 m2 ( m = mean) H1: m1 > m2, m1< m2, or m1 + O HO: md = 0 H1: md # 0 (m = mean) O HO: p1 = p2 (where p = proportion of participants in a specific category) H1: p1 >p2, p1< p2, p1 p2 O HO: m1 = m2 = m3 ... = mk H1: Means are not all equal (m = mean) %3D %3D
Hypothesis Test for More than Two Means, k number of comparison groups >2 Н1: НО is O HO: p1 = p10, p2 = p20,..pk = pk0 false (where p = proportion of participants in a specific category) %3D O HO: m1 = m2 m2 ( m = mean) H1: m1 > m2, m1< m2, or m1 + O HO: md = 0 H1: md # 0 (m = mean) O HO: p1 = p2 (where p = proportion of participants in a specific category) H1: p1 >p2, p1< p2, p1 p2 O HO: m1 = m2 = m3 ... = mk H1: Means are not all equal (m = mean) %3D %3D
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![Hypothesis Test for More than Two Means, k
number of comparison groups >2
Н1: НО is
O HO: p1 = p10, p2 = p20,..pk = pk0
false (where p = proportion of participants in a
specific category)
%3D
%3D
%3D
%3D
О НО: m1 - m2
m2 ( m = mean)
H1: m1 > m2, m1< m2, or m1 +
O HO: md = 0
H1: md 0 (m = mean)
O HO: p1 = p2
(where p = proportion of participants in a specific
category)
H1: p1 >p2, p1< p2, p1 # p2
%3D
O HO: m1 = m2 = m3 ... = mk H1: Means are not all
О НО:
%3D
%3D
equal (m = mean)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3dbc0180-16d7-44cb-9a47-499f50aca89e%2Fdf98921d-74c8-4bc6-ada9-f6b4900c3c24%2Fv8m8qoj_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Hypothesis Test for More than Two Means, k
number of comparison groups >2
Н1: НО is
O HO: p1 = p10, p2 = p20,..pk = pk0
false (where p = proportion of participants in a
specific category)
%3D
%3D
%3D
%3D
О НО: m1 - m2
m2 ( m = mean)
H1: m1 > m2, m1< m2, or m1 +
O HO: md = 0
H1: md 0 (m = mean)
O HO: p1 = p2
(where p = proportion of participants in a specific
category)
H1: p1 >p2, p1< p2, p1 # p2
%3D
O HO: m1 = m2 = m3 ... = mk H1: Means are not all
О НО:
%3D
%3D
equal (m = mean)
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