clt

  1. O

    CLT - What sample size is large enough? your thoughts?

    Hi, I will glad to read your thoughts Whats sample size is large enough so I can assume normality based on the Central Limit Theorem? Some write 30 some write 100. I run some simulations and it seems that for some skewed data (finite variance, independent ...) you need a sample bigger than...
  2. M

    CLT and Proportions

    I would like to ask those of you who know their CLTs and Proportions a few questions. I am completing my HW right now and wanted do ask you guys a few Qs please. :wave: Example: The mean price of shoes in a certain store is $585 with a standard deviation of $195. I am randomly selecting 35...
  3. DrAnthonyRodriguez

    Questions about the CLT

    The Central Limit Theorem (CLT) involves taking repeated samples of size n from a population. That is, the process involves two things: the number of samples and the sample size. I am trying to understand the relationship between these two things (the number of samples and the sample size)...
  4. L

    Central limit theorem effect of number of samples vs sample size

    Hey guys, For an assignment I've been asked to investigate the CLT when sampling from different distributions using different sample sizes. Do to this in R, I've created histograms of the binomial, poisson, and uniform distribution each with 10, 100, 1000 samples of sample sizes of 10, 20...
  5. G

    Central limit theorem - Approximation the Sum of Bernoullis to Normal Distribution

    Hello, I'm new in this forum and I would like to ask for your help. I have a set of Independent Bernoulli random variables, but they are not identically distributed, with different success probabilities. I would like to approximate the Sum of this random variables, but since they are not...
  6. K

    Testing for two means

    I am doing practice questions for hypothesis testing, for two means, n is large. I know the test stat for two means. H0: Mu1 - Mu2 = 0, Ha: Mu1 - Mu 2 > 0 The data is: Male: X: 6.8, s: 6.6, n: 291 Female: X: 2.4, s: 4.5, n: 519 After doing the problem, the answer I received was...