Below are the result from R and Jamovi after conducting a two-factor independent-measures ANOVA test using the data from the blood pressure study above. The dependent measure used was blood pressure after taking the new drug or the placebo. Q: Based on the Jamovi/R outputs presented above, what were the two factors that were being tested and how many levels were in each factor?Factor A & levels of Factor A:Factor B & levels of Factor B: Post Hoc Comparisons - GenderComparisonMeanGenderGenderSEDifferencedfItPtukeyFM-0.6101.5616.0-0.3910.701Note. Comparisons are based on estimated marginal meansPost Hoc Comparisons - Treatment * GenderComparisonTreat-Gen-Treat-MeanGen-Diffe-SEdftPtukeydermentdermentrenceYesIFYes-2.502.2116.0|-1.1320.676NoIF|-7.662.2116.0|-3.4690.015No-6.382.2116.0|-2.8890.047MNoIF-5.162.2116.0|-2.3370.131No|-3.882.2116.0|-1.7570.329NoIFNo1.282.2116.00.5800.937Note. Comparisons are based on estimated marginal means ResultsANOVAANOVA - BP_AfterSum ofMeandfn?pSquaresSquareTreatment166.461166.4613.6570.0020.460Gender1.8611.860.1530.7010.009Treatment17.86117.861.4650.2440.084* GenderResiduals195.021612.19Post Hoc TestsPost Hoc Comparisons - TreatmentComparisonMeanTreatmentTreatmentSEDifferencedfItPtukeyYesNo|-5.77|1.5616.0|-3.700.002Note. Comparisons are based on estimated marginal means

From the above R output, there are two factors Treatment and Gender. There are two levels for…

Answered: Below are the result from R and Jamovi…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

Below are the result from R and Jamovi after conducting a two-factor independent-measures ANOVA test using the data from the blood pressure study above. The dependent measure used was blood pressure after taking the new drug or the placebo.

Q: Based on the Jamovi/R outputs presented above, what were the two factors that were being tested and how many levels were in each factor?Factor A & levels of Factor A:

Factor B & levels of Factor B:

Post Hoc Comparisons - Gender
Comparison
Mean
Gender
Gender
SE
Difference
df
It
Ptukey
F
M
-0.610
1.56
16.0
-0.391
0.701
Note. Comparisons are based on estimated marginal means
Post Hoc Comparisons - Treatment * Gender
Comparison
Treat-
Gen-
Treat-
Mean
Gen-
Diffe-
SE
df
t
Ptukey
der
ment
der
ment
rence
Yes
IF
Yes
-2.50
2.21
16.0
|-1.132
0.676
No
IF
|-7.66
2.21
16.0
|-3.469
0.015
No
-6.38
2.21
16.0
|-2.889
0.047
M
No
IF
-5.16
2.21
16.0
|-2.337
0.131
No
|-3.88
2.21
16.0
|-1.757
0.329
No
IF
No
1.28
2.21
16.0
0.580
0.937
Note. Comparisons are based on estimated marginal means

Results
ANOVA
ANOVA - BP_After
Sum of
Mean
df
n?p
Squares
Square
Treatment
166.46
1
166.46
13.657
0.002
0.460
Gender
1.86
1
1.86
0.153
0.701
0.009
Treatment
17.86
1
17.86
1.465
0.244
0.084
* Gender
Residuals
195.02
16
12.19
Post Hoc Tests
Post Hoc Comparisons - Treatment
Comparison
Mean
Treatment
Treatment
SE
Difference
df
It
Ptukey
Yes
No
|-5.77
|1.56
16.0
|-3.70
0.002
Note. Comparisons are based on estimated marginal means

Expert Solution

Trending now

This is a popular solution!

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Anova and Design of Experiments$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.

Similar questions