Here is a simple example of repeated measures where we will use Graphpad and onl
ID: 3218555 • Letter: H
Question
Here is a simple example of repeated measures where we will use Graphpad and online ANOVA. Two treatments and each subj. received both the treatments (e.g in a crossover design). Here is the data Use graphpad to analyze a paired t test? 1 1.) observed value of the test statistic? 2.) Whats the conclusion about the mean response of 2 treatments? why? Now same study with three groups. Run a repeated measures ANOVA a) global p-value for testing differences in means? Whats the conclusion? Why? b) In the above| design, reanalyze it with 15 different subj with no repeated measures? How will the results be different?Explanation / Answer
1) Null hypothesis H0: mewd = 0
Alternative hypothesis H1:mewd not = 0
Paired Samples Statistics
Mean N Std. Deviation Std. Error Mean
Pair 1 GroupA 34.4000 5 7.82943 3.50143
GroupB 34.6000 5 6.91375 3.09192
Paired Samples Test
Paired Differences
95% Confidence Interval of the Difference
Mean Std. Deviation Std. Error Mean Lower Upper t df Sig.(2-tailed)
Pair 1 GroupA - GroupB -.20000 7.46324 3.33766 -9.46684 9.06684 -.060 4 .955
therefore the sginifant value 0.955>0.05
therefore H0 is accepted i.e we may conclude that the mean difference between group A and group B is zero
2) Nullhypothesis H0:mewA = mewB=mewc i.e there is no significance difference between the means of theree groups
Alternative hypothesis H1:mewA not = mewB not =mewc(two tailed test)
Descriptives
Group
95% Confidence Interval for Mean
N Mean Std. Deviation Std. Error Lower Bound Upper Bound
GroupA 5 34.4000 7.82943 3.50143 24.6785 44.1215
GroupB 5 34.6000 6.91375 3.09192 26.0154 43.1846
GroupC 5 52.6000 12.13672 5.42771 37.5303 67.6697
Total 15 40.5333 12.29905 3.17560 33.7223 47.3443
ANOVA One-way classification table
Group
Sum of Squares df Mean Square F Sig.
Between Groups 1092.133 2 546.067 6.389 .013
Within Groups 1025.600 12 85.467
Total 2117.733 14
therefore the signficant value 0.013< 0.05
therefore the result is significant at p value i.e we may conclude that null hypothesis is rejected i.e there is a significnat diffrence between the three groups