# binomial

1. ### Lottery question

Hey guys, new here. Just wondering if i am playing 23 games in a lottery, and IN TOTAL across the 23 games, the number 1 is drawn 9 times, what is the probability of that occurring? some more info about this specific game, there are 45 balls, and each game consists of 7 balls/numbers...
2. ### comparing change from baseline (two treatment groups, binomial data)

I am comparing the effectiveness of a vaccine in reducing the prevalence of the targeted protein. I have baseline data (before the vaccine was even available), and now have data from vaccinated and non-vaccinated individuals. I have used chi-square/odds-ratios to show that the prevalence of...
3. ### Binomial data, proportion comparison

Hi guys, I’m trying to find out whether the percentage of students who are satisfied with a service (statistically) significantly changes year-to-year. This would be easy enough to do with interval data with a t-test (scale of 1-4, looking at the mean), but I would like to know how to...
4. ### Binomial - probability from average result?

I'm looking at recovery rates for stolen cars. Across the whole State there were 15,000 cars stolen, of which 62% were recovered. I now want to see if any particular sub-regions are significantly different to the State. Can I use 0.62 as the binomial probability for a car being recovered...
5. ### Combining Bernoulli distributions

Combining Bernoulli distributions [Solved] I'm looking for a way to find the standard deviation of a certain distribution. This distribution is created by performing n_0 Bernoulli trials with probability p_0. The number of successes is recorded as n_1. n_1 Bernoulli trials are then performed...
6. ### Calculate the number of trials to distinguish between 2 binomial distribution models

Hello, This sounds like a problem that has to be well known, but I can't find a good answer... I have two competing models for the fraction of special objects ('n') in a sample ('N'). One model predicts that f= n/N = 0.15 of the objects are special, the other that f = 0.3 are special. Ie...
7. ### Estimating a pdf from binomial trials - point me in the right direction?

Hi, I'm afraid I'm not an expert in statistics, but I have a particular problem I'm interested in solving. I'm pretty sure this area already has a lot of literature, but I'm having difficulty finding something directly applicable to what I'm doing, so it would be great if somebody could nudge...
8. ### Binomial + Binomial

Hi, I'm having difficulty working with the binomial - specifically aggregating binomial distributions. Hoping somebody can tell me where I'm going wrong. Let me give a totally fictional example: In a soccer match, there are 40 attempts at scoring a goal. Of these, 5 go in. Hence the...
9. ### Which Significance test do I use?

Hi, I've just started a new stats unit and it turns out my brain is a little dustier than I first thought. Would someone be able to give me a hint about which significance test to use for these questions? Question 1 - A student plants 76 seedlings of a rare species to see if they will...
10. ### Binomial regression with x as the dependent variable and n as an independent variable

Hi all I have a sample size of 100. Out of 100 a certain number are successful at stage one. Of those successful at stage one some are successful at stage two. I want to regress the number successful at stage one and a number of other factors against the number successful at stage two. The...
11. ### Probability distribution function for extracting b balls out of a urn.

Hello everybody, First of all I would like to say that I am not a student trying to get his homework solved. Rather I am a software developer trying to implement a game that has a probabilistic side... In case it makes any difference :D. The abstraction of the problem is pretty simple and...
12. ### Binomial Probability, Real Limits, X=0

Can someone have guessed on quiz and got all 50 questions wrong, but still get 100%? Thanks in advance! :D
13. ### Lmer Output/: variable re-levelling

Morning/Evening all I'm having a bit of a time getting the LME4 package to list ALL of my IVs, rather than all-1. By way of example, here is my model/output (testing the effect of a voice on participant answers to yes/no questions) model = lmer(supportive ~ Voice + question +(1|participant)...
14. ### DF and fishers vs. pearson's

Hallo everyone I'm having a mental block today, and having trouble getting my df value. So, here's a summary of my data to help: 32 participants face-to-face 18 participants online 40 questions; binomial correct/incorrect answers I'm comparing the accuracy rates of the face-to-face...
15. ### Appropriate regression for dependent count data and independent "not count data"

Hello, My independent data are continuous variables. My dependent variable is count data. I want to use regression to look for a relationship. Generally speaking, what is/are appropriate regression(s) for this situation? Thank you kindly, Mike
16. ### GLM for proportional data

Hi, I'm hoping someone can help me sort out question about how the proportion comparisons in GLM works in R. I'm trying to compare hatch success among years (and later, sites). I've used a GLM to compare among years by making a txt file where the success column contains the number of chicks...
17. ### Confidence intervals for a binomial distribution

Hi everyone, In my thesis data set, I'm trying to sort out which years were poor and which were good based on an assortment of breeding bird metrics. The one I'm currently looking at is clutch size, where I've converted 1 and 2 egg clutches (this species never lays more) to a binomial...
18. ### GzLM for counts or ?

Hi everyone, I'm trying to figure out how to run an appropriate comparison for clutch sizes of birds. Ultimately, I want to compare clutch size of the same species between 2 sites with 2 levels (good, poor). First I need to sort out if there were differences among years in each site to be able...
19. ### Transforming z to t values (GLM, different error distributions)

Hi, I am comparing behavioural data collected at two populations. Generalised linear models were used with a behavioural trait as a response variable. The problem is that due to the error distributions, different families were specified for each dataset: Gaussian and Binomial family...