I need 41, 42, 43, and 44 please.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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I need 41, 42, 43, and 44 please.

Layout
Exam #3... - Word
References
lity: Investigate
Mailings Review View Help Table Design Layout
Pain
Level
After
Model
A
8
3
9
For #39-45: A researcher would like to determine whether Model A for shoe orthotics or Model B for
shoe orthotics is better at reducing foot pain in an elderly population. He draws a sample of 8 people
from a podiatry practice to try out both models in a repeated-measures design. The participants will
wear each model of show orthotics for 8 hours during a day and then rate their pain. The dependent
variable is pain rating on a scale of 1-10, with 1 being no pain and 10 being excruciating pain. The data in
5
3
458
5
Pain
Level
After
Model
B
ÞANT
2
4
4
2
1
2
1
LAP
1
D scores
Table Tools
>D=
D²
[D² =
Search
MD=2D
77
SS=[D²-([D)²/n
variance of D-s²
SM
11
t = MD / SMD
Tell me what you want to do
-
39. In statistical notation, what is your null hypothesis? There will be no significant difference in the pain
rating scores between the two models.
ly
SS
df
40. In statistical notation, what is your alternative hypothesis? There will be a significant difference in
the pain scores between the two models.
41. How many df do you have in this Repeated-Measures design? 8-1-7
42. What is the variance of your D scores?
43. What is your t-statistic?
44. Using two tails, an alpha level of .05 and your df what is your toutical?
W
Transcribed Image Text:Layout Exam #3... - Word References lity: Investigate Mailings Review View Help Table Design Layout Pain Level After Model A 8 3 9 For #39-45: A researcher would like to determine whether Model A for shoe orthotics or Model B for shoe orthotics is better at reducing foot pain in an elderly population. He draws a sample of 8 people from a podiatry practice to try out both models in a repeated-measures design. The participants will wear each model of show orthotics for 8 hours during a day and then rate their pain. The dependent variable is pain rating on a scale of 1-10, with 1 being no pain and 10 being excruciating pain. The data in 5 3 458 5 Pain Level After Model B ÞANT 2 4 4 2 1 2 1 LAP 1 D scores Table Tools >D= D² [D² = Search MD=2D 77 SS=[D²-([D)²/n variance of D-s² SM 11 t = MD / SMD Tell me what you want to do - 39. In statistical notation, what is your null hypothesis? There will be no significant difference in the pain rating scores between the two models. ly SS df 40. In statistical notation, what is your alternative hypothesis? There will be a significant difference in the pain scores between the two models. 41. How many df do you have in this Repeated-Measures design? 8-1-7 42. What is the variance of your D scores? 43. What is your t-statistic? 44. Using two tails, an alpha level of .05 and your df what is your toutical? W
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