All Questions
Tagged with multiple-comparisons t-test
114
questions
1
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1
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41
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How do I do the p-adjustement in statistical tests?
context: a study about which type of bread and/or filling attracts ants the most
I have a table with 3 columns : the number of ants attracted, type of bread, type of filling. The question is : do ...
- 53
0
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0
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21
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How to do ANOVA/post-hoc analysis when 'control' is used to normalise the data?
I am analysing the transportation rate for a number of different mutants in a particular transportation system. I want to know how I can perform statistical tests on this data in a valid way, given ...
- 23
2
votes
1
answer
28
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Should I normalise my dependent variable by a measured variable that I want to be constant?
This is a question about the validity of applying the results of a statistical test, and unfortunately will require some explanation of the experiment in question.
Essentially, I want to measure how ...
- 23
1
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0
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117
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Why do Welch's t-test results differ from Welch's ANOVA post-hoc tests?
I have data on elevation between three different berry types in Python (Raspberry, Sunberry, ...
- 528
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1
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42
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Multiple comparisions between sexes within years ANOVA or t-tests? Tukey posthoc? Bonferroni?
I am conducting a genetic analysis comparing Fst and relatedness coefficient values between male and female animals across years from 2013-2019. Each year is divided into quarters, so I have a total ...
- 15
6
votes
1
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88
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Which family-wise correction is needed for one-sided t-tests in a randomized controlled trial with several independent measures across groups?
I conducted a randomized controlled experiment with groups $A$, $B$, $C$, and $D$, each containing around $40$ human participants who saw one of four variants of a website. Group $A$ saw a baseline, ...
- 161
5
votes
3
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632
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What type of pairwise test does emmeans run?
Can someone please explain what kind of test emmeans runs when using the pairs function (is it a paired t-test between levels)?
I have a linear mixed effects model ...
- 255
1
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15
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FDR Correction needed on a pixel-wise comparison?
I have a question, which twirls my mind but I can't find a robust basis to answer it!
I have a time-frequency data (let's say 5 columns x 5 rows) for each participant in two different groups. I have ...
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2
votes
1
answer
114
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Compare and find p-value between two t-tests
I am running a statistical test to determine if females are more influenced by the framing effect. I designed a survey with three overall questions, each with a "positive frame" and a "...
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6
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3
answers
1k
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P-value adjustment for a single test with low sample size
I have a dataset of 2 conditions. Each condition has 15 measurements. I tested them using paired t-test to find if the difference is statistically significant. Should I use a p-value correction method ...
3
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1
answer
2k
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Post-hoc tests after Friedman test
In Statistical Comparisons of Classifiers over Multiple Data Sets (p. 12) Janez Demsar suggests to use the Bonferroni-Dunn test as a post-hoc test after the null hypothesis of an initial Friedman test ...
- 33
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21
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What is more appropriate - a series of planned t-test or planned contrasts over a model?
Let's assume I want to compare two approaches to servicing some electric device. I have some performance indicator and I measure it over time, repeatedly.
There are 10 measurements + baseline (before ...
- 21
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0
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43
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How do I compare two data set which are not interrelated
I have two datasets coming from the same monitoring device. One dataset measures speed based on GPS and the other measures the speed based on acceleration. Assuming GPS data is the most accurate, I ...
- 101
1
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36
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Comparison test for two datasets [closed]
I have two sets of data A (n=100) and B (n=10000).Given 40 data points of B match with A, I want to run some tests on the matched and unmatched data points to see if they are significantly different. ...
- 51
1
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2
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82
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Are t-tests good choices here?
I would like to test if two groups of participants (dark-eyed and light-eyed individuals) respond to a drug differently over time. The hypothesis is that the drug reaches its peak effects sooner but ...
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