WinDBG + VS + DevExpress

.loadby sos clr
.load E:\Diagnostics\sosex.dll
>>  run !bhi
.sympath srv*c:\mss*http://msdl.microsoft.com/download/symbols
.sympath+ E:\WebsiteCode\Live\Platform\Velocity_DigitalHandler\NEWHANDLER\bin

.symfix
.reload /f /i
!sym noisy


!dlk (dead locks)
!dlk
!EEStack -- clr stack

Sampling Distribution

Sampling distribution

Imagine you have some data and you and you would like to know it's properties, like - mean, or average or something else - a Point Estimate. But you don't have a way to work with full data set (it's to large, or it's not fully available to you). But you have access to some portion of it.

To have an good aproximate value of that data you can make the Sampling Distribution.

The sampling distribution represents the distribution of the point estimates based on samples of a fixed size from a certain population.

 It is useful to think of a particular point estimate as being drawn from such a distribution.

To make that point more visible I made the set of tests to show that it really works - the sample size is our variable that experiment.

import mysql.connector
import pandas as pd
import numpy as np
from scipy.stats import bernoulli, binom, poisson, norm, uniform, beta
import matplotlib.pyplot as plt