6. A kinesiologist wanted to examine the effects of temperature and humidity on exercise performance. Each participant was asked to walk on a treadmill at a normal pace for 60 minutes, and the kinesiologist recorded the distance walked (miles). She assigned participants to one of 4 conditions that varied in temperature (normal or high) and humidity (normal or high). Mean distance walked by the four groups are shown in the table below. Assume a = .05 and Tukey HSD = 0.39. Normal temperature High temperature Normal humidity M = 3.00 M = 2.80 High humidity M = 2.80 M = 2.00 Complete the following conclusion: The factorial ANOVA revealed significant main effects of temperature [F (1, 24) = 25.00, p<.05] and humidity [F (1, 24) = 19.65, p < .05] and a significant Temperature x Humidity interaction [F (1, 24) = 9.25, p < .05].
6. A kinesiologist wanted to examine the effects of temperature and humidity on exercise performance. Each participant was asked to walk on a treadmill at a normal pace for 60 minutes, and the kinesiologist recorded the distance walked (miles). She assigned participants to one of 4 conditions that varied in temperature (normal or high) and humidity (normal or high). Mean distance walked by the four groups are shown in the table below. Assume a = .05 and Tukey HSD = 0.39. Normal temperature High temperature Normal humidity M = 3.00 M = 2.80 High humidity M = 2.80 M = 2.00 Complete the following conclusion: The factorial ANOVA revealed significant main effects of temperature [F (1, 24) = 25.00, p<.05] and humidity [F (1, 24) = 19.65, p < .05] and a significant Temperature x Humidity interaction [F (1, 24) = 9.25, p < .05].
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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![6. A kinesiologist wanted to examine the effects of temperature and humidity on exercise
performance. Each participant was asked to walk on a treadmill at a normal pace for 60
minutes, and the kinesiologist recorded the distance walked (miles). She assigned
participants to one of 4 conditions that varied in temperature (normal or high) and
humidity (normal or high). Mean distance walked by the four groups are shown in the
table below. Assume a = .05 and Tukey HSD = 0.39.
Normal temperature
High temperature
Normal humidity
M = 3.00
M = 2.80
High humidity
M = 2.80
M = 2.00
Complete the following conclusion:
The factorial ANOVA revealed significant main effects of temperature [F (1, 24) = 25.00,
p<.05] and humidity [F (1, 24) = 19.65, p<.05] and a significant Temperature x
Humidity interaction [F (1, 24) = 9.25, p < .05].](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe4db1e84-75df-498d-9686-5cabfd0e0c2f%2Fc45b69c1-f5cf-4b12-bdac-692619920b73%2Fuegmn9h_processed.png&w=3840&q=75)
Transcribed Image Text:6. A kinesiologist wanted to examine the effects of temperature and humidity on exercise
performance. Each participant was asked to walk on a treadmill at a normal pace for 60
minutes, and the kinesiologist recorded the distance walked (miles). She assigned
participants to one of 4 conditions that varied in temperature (normal or high) and
humidity (normal or high). Mean distance walked by the four groups are shown in the
table below. Assume a = .05 and Tukey HSD = 0.39.
Normal temperature
High temperature
Normal humidity
M = 3.00
M = 2.80
High humidity
M = 2.80
M = 2.00
Complete the following conclusion:
The factorial ANOVA revealed significant main effects of temperature [F (1, 24) = 25.00,
p<.05] and humidity [F (1, 24) = 19.65, p<.05] and a significant Temperature x
Humidity interaction [F (1, 24) = 9.25, p < .05].
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