I expect that the relationship between X (predictor) and Y (outcome) becomes more negative when levels of Z (mod/med) are higher. My hypothesis is basically: Individuals with high X and high Z have low Y. Theoretically, I am predicting that when Z is a factor in the relationship between X and Y, the assumed negative effect should become much more pronounced. Would you consider this moderation or mediation? Thank you so much! submitted by /u/FrapFrapuccino [visit reddit] [comments ..read more

I'm looking for literature on how to conduct a multivariate data analysis. Based on my preliminary research, multivariate multiple regression appears to be a suitable analysis method for my experiment. However, I somehow can't find literature that clearly states in which cases such an analysis is appropriate. I'm mostly interested in the assumptions for such a model, but I only found assumptions concerning the mutilpe regression case with only one dependent variable. I'm happy for any suggestions! submitted by /u/IUseMintBtw [visit reddit] [comments ..read more

I studied animal genetics and breeding last millenia. Even did a PhD on that later on. Falconer's "Introduction to Quantitative Genetics" was my bible. I remember falling asleep while reading it. The way I learned statistics and methodes of trial planning, I could code anything possible with the usual software of that time. Mostly SPSS and JMP. We used to joke that these are poor man's SAS. Then came Genstat and BioLinux and endless lectures from Daniel Gianola about Bayes Analysis (in person, yes I saw the God with my own eyes) etc. While making a career in management I kind of got cut off f ..read more

If an infinite number of people are assigned an infinite number of unique lottery numbers (assume each participant gets a single number assigned), what are an individual's chances of winning the drawing? I'm assuming the overall probability of having a winner is 1, but I'm not sure how that's additively reached from each individual participant having a winning probability that's at least moving towards a limit of 0. What am I missing? My Stats class was 35 years ago. submitted by /u/A_Rented_Mule [visit reddit] [comments ..read more

Ultimately I would like to maybe end up doing biostatistics or bioinformatics but I would rather get a generalized degree instead of a niche one and end up pidgeon-holing myself into one single niche. submitted by /u/protonchase [visit reddit] [comments ..read more

Help on this question A simple random sample produces a sample mean x(bar) = 15. A 95% confidence interval for the corresponding population mean is 15 +- 3. Which statement must be true? A. 95% of the population measurements fall between 12 and 18 B. 95% of the sample measurements fall between 12 and 18 C. If 10 samples were taken, 95 of the sample means would fall between 12 and 18 D. P(12<=X<=18) = .95 E. If u = 19, an x(bar) of 15 would be unlikely to occur The answer is E, but everyone in my class thought it was C or D. Can someone help me understand why it is E and not C or D? And ..read more

I'm in college right now and considering pursuing a statistics degree, because I find if pretty interesting and I've read that the job outlook is pretty promising. But I'm curious what the day to day work is actually like. Do you work in an office, or a cubicle, or from home, or hybrid? How much of your day do you spend on the computer? What type of work do you do on and off the computer? What are the best and worst parts about your job? And any other helpful information that comes to mind. Thank you! submitted by /u/destroyer5645 [visit reddit] [comments ..read more

Hi everyone. I am running a logistic regression to determine the influence of Age Group (younger or older kids) on their choice of something. When I just include Age Group, the model is significant and so is Age Group as a predictor. However, when I add gender, the model loses significance, though Age Group remains a significant predictor. What am I supposed to do here? I didn't have an a priori reason to believe that gender would influence the results, but I want to report the fact that it didn't. Should I just do a separate regression with gender as the sole predictor? Also, can someone exp ..read more

Hi guys, so I'm running an AB test with a feature that's rolling out to 75% (Variant B) of the users and 25% dont see it. The feature allows users to create their products using AI but they can choose whether they want to use AI for each product that they create (i.e within B, each user can opt-in). My success metric is product submission CR. Which means how many products get submitted out of the ones that users start creating. My problem is that I ran an AA test i.e split users randomly into 75% and 25% buckets to see if the product submission CR was flat (i.e no significant difference) befo ..read more

Statistics dudes. Played a game of monopoly last night with family/friends and literally my first 4 times around the board I landed on jail, had to back up, then ended up landing on it again 3 more times in a row. Obviously lost the game since I was in a terrible position. What would the odds be to land on that specific square 4 times in a row when you are rolling 6 sided dice? My friends were amazed submitted by /u/Jumpy-Cow451 [visit reddit] [comments ..read more