Tend to be associated with large values of Y and small values of X tend to beĪssociated with small values of Y). Value for the correlation implies a positive association (large values of X StATS: What is a correlation? (Pearson correlation)Ī correlation is a number between -1 and +1 that measures theĭegree of association between two variables (call them X and Y). If (t.test(x1,x2)$p.val < 0.Stats: What is a correlation? (Pearson correlation) You really needed to have done this before running the study. Find the associated power under whatever assumptions you are making. And presumably you want to model indulgence as a continuous variable rather than binary. Obviously I just made those above assumptions up you should replace them with more solid assumptions taken from the existing sleep literature on average sleep hours and standard deviation. Even with 60 participants (30 in each arm) it only has a 48% chance of finding the effect, which is still pretty shit. Under those assumptions, a study with only 30 participants (15 who indulge and 15 who dont) is pointless because it only has a 26% chance of correctly rejecting the null hypothesis (see below R code). Now, suppose that people who over-indulge in video games get 30 minutes less sleep on average. Next suppose that people get 8 hours of sleep on average, with a standard deviation of 1 hour. If your post has been caught up in the spam filter please message the moderators and please INCLUDE A LINK to your post We're trying something new! Please join our discussion of the secrets of academia!įor example, suppose a very simple model where we treat 'video game indulgence' as being binary (so people either overindulge, or not). r/science /r/physics /r/chemistry /r/hardscience /r/softscience /r/Answers /r/AskReddit Other Subreddits that might be relevant to academics General School Related Sub-reddits: Higher Education Questions about history: /r/AskHistoriansĭirectory of Scientific Sub-reddits: /r/MethodHub Specific questions about scientific phenomena may be better suited for AskScience. Avoid ad hominem attacks, treat people online broadly as a reasonable person would treat a relative stranger in person, and help us out by reporting any posts which fall foul of this policy. If an idea is a bad one, please do tell someone that it is in no uncertain terms. This includes off-topic and unproductive discussion as well as rudeness.ĭisagreement is completely fine, encouraged even, when there are different perspectives to share. If a reasonable person wouldn't say it to a professor/colleague/conference speaker they don't know well, it's probably over the line. Both are better resources on those subjects. And questions about graduate admissions will be referred to /r/gradadmissions. Questions about what university you should attend will be referred to /r/college. Your university probably has confidential counseling make use of it. You know it's inappropriate, and we're not going to tell you any different. Questions about your uncontrollable desire for your student/professor will be deleted. Questions from current and former undergraduates, graduates, PhDs, post-docs, professors and laymen all welcome! Mods may delete posts which do not provide enough context. This might include, for example, your career stage, your subject discipline, the type of institution you're affiliated with, and/or the country you're in. Your post should comprise a question (albeit potentially an open-ended one) and must contain sufficient information to enable posters to provide an effective answer. Posts that will invoke critical thinking and healthy discussion are especially welcome. This subreddit is for discussing academic life, and for asking questions directed towards people involved in academia, (both science and humanities).įeel free to post interesting links within self-posts.
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