I wonder if there is a classification of probability distributions or so called 'controlled vocabulary' or 'ontology'?
So far I could find following classification patterns
a. continuous with a probability density function
b. discrete with a probability mass function...
(This was posted in a different sub-section of the forum, but has remained unanswered for over a month. I'm posting it here in the hopes of getting a respondent.)
I'm doing a psychophysical study on motion direction estimation and the direction-dependence of the estimation errors.
I have this question I am trying to get through but i keep coming into trouble. The question is:
Show that the cumulative distribution function from a uniform distribution of the random variable is Fx(y) = (y-a) / (b-a) for some a < y < b
I've started the question but have become stuck...
I am doing a simulation study. For my study, I need to simulate 10,000 data sets from standard normal distribution(each with 100 observations) and need to estimate the mean and standard deviation parameters of all 10,000 data sets.
I used replicate function to generate...
Hi all, I'm doing a psychophysical study on motion direction estimation and the direction-dependence of the estimation errors.
My current problem is determining whether the perceptual bias of a motion direction is symmetrical around a cardinal direction.
So what I have are:
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...
I have been discussing this topic all week with people in my department and I can't seem to get a straight answer. I also tried posting this thread in a non-psychology forum and received only a few straight of the textbook responses about positive skew. I was taught long ago that you...
I have been discussing this topic all week with people in my department and I can't seem to get a straight answer. I was taught long ago that you should not necessarily transform a variable if the population distribution is expected to be skewed (for use in regression analysis). For...
Right now I have the regression equation to predict the STI%bonus based on their Rating but I also want to see the how the dist. curve will look as it shifts to the right
since max rating is 5
Here is the link to my excel file - post
I am Really trying to...
Thank you a million for any help you might be able to provide. I've been plugging away at this on and off for a couple weeks now. I'm not well-versed in probability and statistics, but I learn as I go.
I've attached a couple of Excel spreadsheets. The first is a spreadsheet I built to try to...
I'm a little stuck, and hope someone will be able to explain this to me.
I have sample mean, and value of the 90th percentile of the sample. If distribution is assumed to be LogNormal, is there a way of estimating parameters of mu and sigma of that LogNormal distribution?
I'm trying to...
Distribute six energy units to four different states, 0ε, 1ε, 2ε, 3ε, with the constraint that the total energy of the system is equal to 4ε which must determine the weight and n(ε) for each energy level.
The graphs are found in the link attached. They are on slides 10, 12, and 13 (although, 12 and 13 should be the same graph, one is just coloured). What do the axes represent? What is the graph telling us?
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...
Hi folks, I am in a dilemma and maybe one of you can help. I have 2 sets of data, one from a control group and one from an experiment group. Each group took a test before and after a period of time and difference calculated. When checking for normality within the data via Anderson-Darling I...
If I know the size of a population, the number of categories/labels, and the skewness and kurtosis of the distribution, is it possible to estimate the number of items which fall into each category?
For example, given the data set:
category A: 11
category B: 13
category C: 15
Hi! I'm working with a large dataset which is heavily weighted. I need to produce the distribution of weights by key variables in our dataset (region, race, etc). This may be an elementary question, but to produce the distributions do I use the "summarize" and "tab" functions, or do I need to...
I'm looking for the distribution of the sum of independent beta-Bernoulli random variables, that is Bernoulli random variables with beta-distributed parameters, x_i ~ Bern(p_i) with p_i ~ beta(alpha,beta) (same alpha and beta, of course). I guess one can work with convolutions or characteristic...
I have a quick question.
3 numbers, say X, Y, and Z are chosen from a set of numbers (1 to n) where n is greater or equal to 1, in a uniform and independent manner.
What's the chance that all these three numbers take on the same value, i.e. X=Y=Z...
Find the sample distribution of the residual r = y - XBhat under
normal regression model assumptions.*
* I think this means to assume errors are indepedent, have mean 0 and variance sigma squared, are are normally distributed.
Please help! Are residuals not just realizations of the errors and...