Difference between revisions of "Talk:Is it chance? Use a T-Test to identify how likely an intervention worked"

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Hi! This is a lot like my topic https://wiki.openhumans.org/wiki/Finding_relations_between_variables_in_time_series. Combine somehow?
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== potential page merging ==
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Hi! This is a lot like my topic https://wiki.openhumans.org/wiki/Finding_relations_between_variables_in_time_series. Combine somehow? - [[User:DG]]
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: Given that standard t-tests like this aren't really used for time series (or at least not in the way described here) I'd keep it separate for now, but we could think about a larger 'meta'-topic about statistical testing? - [[User:Gedankenstuecke|Gedankenstuecke]] ([[User talk:Gedankenstuecke|talk]]) 09:02, 4 March 2022 (UTC)
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== Excel parameters ==
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Currently the page says that the "2" parameter is for the type and is chosen because the samples are not of same length. Is this really the meaning of the parameter? 'type' sounds to me whether it's 'paired' or 'unpaired' data, which would go a bit farther than just having the same amount of observations in both categories: A 'paired' test would be comparing a series of 'before' and 'after' measurements, so each data point has a corresponding 'partner' :) - [[User:Gedankenstuecke|Gedankenstuecke]] ([[User talk:Gedankenstuecke|talk]]) 09:02, 4 March 2022 (UTC)

Revision as of 09:02, 4 March 2022

potential page merging

Hi! This is a lot like my topic https://wiki.openhumans.org/wiki/Finding_relations_between_variables_in_time_series. Combine somehow? - User:DG

Given that standard t-tests like this aren't really used for time series (or at least not in the way described here) I'd keep it separate for now, but we could think about a larger 'meta'-topic about statistical testing? - Gedankenstuecke (talk) 09:02, 4 March 2022 (UTC)

Excel parameters

Currently the page says that the "2" parameter is for the type and is chosen because the samples are not of same length. Is this really the meaning of the parameter? 'type' sounds to me whether it's 'paired' or 'unpaired' data, which would go a bit farther than just having the same amount of observations in both categories: A 'paired' test would be comparing a series of 'before' and 'after' measurements, so each data point has a corresponding 'partner' :) - Gedankenstuecke (talk) 09:02, 4 March 2022 (UTC)