Questions tagged [normal-approximation]
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24
questions
2
votes
1answer
38 views
Can Student's t-distribution be used in Normal Approximation to Binomial?
The question nearly covers it all. I clearly have a binomial distribution, however the variance and standarddeviations are unknown, the population is also just ...
0
votes
1answer
36 views
Central Limit Theorem Approximation and Relation to Law of Large Numbers
Assume the Linberg-Levy CLT to where we know
$$\sqrt{n}\frac{\bar{X}_n-\mu}{\sigma}\xrightarrow{d}N(0,1).$$
I feel like I commonly see then that
$$\bar{X}_n\approx N(\mu,\frac{\sigma^2}{n}),$$
but ...
1
vote
1answer
94 views
Mann-Whitney Normal Approximation process help
Let $X_{1}, X_{2}, ..., X_{n}$ is i.i.d sample from $X$ and $Y_{1}, Y_{2}, ..., Y_{m}$ is i.i.d sample from $Y$. And both samples are independent each other.
Trying Mann-Whitney U-test then, $U =$ $\...
0
votes
0answers
7 views
How to derive this inverse standard deviation error bound for binomial random variable? [duplicate]
Is this error bound suggesting the normal approximation is good for binomial random variables?
How was it derived? Why is the reciprocal standard deviation in the error bound?
0
votes
0answers
30 views
How do you combine confidence intervals for antibody test estimates?
I would like to know how to combine the uncertainty related to the false positive rate of an antibody test with uncertainty due to sampling. As an example, let's use the recent New York State estimate ...
3
votes
1answer
279 views
What is the difference between normal approximation and poisson approximation of binomial distribution?
what is the difference between Poisson distribution as an approximation of Binomial distribution and Normal (Gaussian) distribution as an approximation of Binomial distribution? Both are ...
0
votes
1answer
34 views
How normal is the following distribution of data? [closed]
I'm using the following dataset with 2 columns (features) and 1 label to train a Gaussian Naive Bayes classifier. How would you determine (using a stastiscal normality test) whether the data is ...
1
vote
0answers
56 views
Approximating a distribution with normal
Let's say I generated samples from a distribution $f$ whose functional form I do not know. I want to approximate this distirbution with a multi-variate normal.
We know that if samples are generated ...
1
vote
1answer
297 views
How does Normal approximation work when ties exist for Wilcoxon Signed rank test?
I ran wilcox.test() in R (outcome variable was a test score and the data was paired samples) and got a warning message saying that it cannot generate a p-value for tied values. I saw the R document ...
1
vote
0answers
58 views
at what probability will the probability we start considering the data?
For example I have this problem,
Do Americans tend to vote for the taller of the two candidates in a presidential election? In 30 presidential elections since 1856, 18 of the winners were taller than ...
4
votes
2answers
99 views
What is the correct terminology for repeating groups of coin flips multiple times in a simulation?
I previously posted a question that is causing a lot of confusion because my terminology is incorrect. I decided to post this question to ensure I am starting my problem with the correct terminology.
...
19
votes
4answers
3k views
Why does increasing the sample size of coin flips not improve the normal curve approximation?
I'm reading the Statistics (Freeman, Pisani, Purves) book and I'm trying to reproduce an example where a coin is tossed say 50 times, the number of heads counted and this is repeated say 1,000 times.
...
0
votes
2answers
74 views
Normal Approximation to Binomial Question
I am having issues solving the following problem:
A recent study found that cedar trees by indigenous settlements grow taller than cedar trees not by indigenous settlements. The probability of a ...
0
votes
1answer
149 views
Normal approximation on (what it looks like) a poisson
I am self-studying inferential statistics from Larson's introductory textbook named: "Introduction to Probability Theory and Statistical Inference" (1st edition John Wiley & Sons.).
I came ...
4
votes
1answer
6k views
How to calculate confidence interval of incidence rate under the Poisson distribution
I'd like to be able to calculate the confidence interval for an incidence rate under the Poisson distribution. I am inclined to use a normal approximation formula (the Wald interval) which is $\text{...
2
votes
1answer
1k views
Lower Bound on the Total Variation Distance between two Binomials
Let $X= B(n,1/2)$, $Y=B(n,1/2 + \delta)$, for a small $\delta >0$
be two Binomial Distributions.
Question 1.
I am looking for a lower bound on the Total Variation Distance
the two Binomials ...
0
votes
2answers
143 views
A box contains 48 tickets [1] and 52 [0]. If you draw 10 times at random and with replacement, what is the probability of getting a sum of 3 or less?
I came across a question like this and I try it to solve it by 2 different methods. However, these 2 methods don't yield the same answer. So, I'd like to ask you what am I missing. I'm clearly doing ...
1
vote
0answers
49 views
How to test proportion against 1 - null hypothesis: H0: p=1
My research question:
I have a data set with good observations and bad observations and have to estimate if all observations are good in the population with 99% confidence.
My suggested method:
My ...
-1
votes
1answer
93 views
Approximate meaning of probability? [closed]
After the football match each football fan leave on the stadium 2 empty bottles. The janitor finds the bottle with probability 0.3. Find the approximate meaning of probability that the janitor ...
6
votes
0answers
138 views
Bayesian inference via approximate data likelihood
Suppose that we have a very large i.i.d. sample $x_1,...,x_n$ and a data likelihood defined by
$$p(x | \theta,\beta) = \prod_ip(x_i | \theta,\beta)$$. Further suppose that $\theta$ is the parameter ...
1
vote
1answer
260 views
Asymptotic (normal approximation) distribution of the division of two means of exponential random variables
Suppose $X_{11}, ...X_{1n}$ are iid rvs following an exponential distribution with expectation $\mu_1$, and $X_{21}, ...X_{2n}$ are iid rvs following an exponential distribution with expectation $\...
0
votes
1answer
80 views
Combined confidence of hit/miss results from 20 different test subjects
I'm a computer science student and statistics isn't my strong suite. I would appreciate some help.
I did a task performance experiment for my Master's thesis to validate my "special secret algorithm"....
3
votes
1answer
274 views
Hypothesis test of 2 proportions, with $np < 5$
We are frequently conducting one-tailed hypothesis tests for 2 proportions ($H_0: p_1-p_2=0;\, H_1: p_1-p_2 > 0$).
However, $p_2$ is relatively small in terms of $n, x$ and in some cases we find ...
7
votes
1answer
274 views
Berry-Esseen Theorem with Continuity Correction
Given independent but non-identical random variables $X_1, X_2, \ldots ,X_n$ with $E[X_i]=0,$ $E[X_i^2]=\sigma_i^2=1$ and finite absolute third moments $\rho_i=E[|X_i|^3].$
Let $$S_n = {\sum_{i=1}^n ...
