## Chi-squared test

chi-squared test, also written as χ2 test, is any statistical hypothesis test where the sampling distribution of the test statistic is a chi-squared distribution when the null hypothesis is true. Without other qualification, ‘chi-squared test’ often is used as short for Pearson’s chi-squared test. The chi-squared test is used to determine whether there is a […]

## F Distribution Tables

The F appropriation is a right-slanted conveyance utilized most ordinarily in Analysis of Variance. When referencing the F dissemination, the numerator degrees of opportunity are constantly given first, as exchanging the request for degrees of opportunity changes the dispersion (e.g., F(10,12) doesn’t approach F(12,10) ). For the four F tables underneath, the lines speak to […]

## DIFFERENTIAL EQUATIONS

Here are my notes for my differential conditions course that I educate here at Lamar University. Notwithstanding the way that these are my “class notes”, they ought to be available to anybody needing to figure out how to fathom differential conditions or requiring an update on differential conditions. I’ve attempted to make these notes as […]

## What is Hypothesis Testing?

A statistical hypothesis is an assumption about a population parameter. This assumption may or may not be true. Hypothesis testing refers to the formal procedures used by statisticians to accept or reject statistical hypotheses. Statistical Hypotheses Factual Hypotheses The most ideal approach to decide if a factual theory is genuine is to look at the […]

## Statistical Significance

You find the significance of results. You analyze the data and run experiments. However, business relevance is different from statistical significance. Many business organizations could not distinguish between the two and misuse and misunderstand the concept. On the other hand, analyzing the data properly helps in making suitable business decisions. That is the reason why […]

## An Interactive Guide To The Fourier Transform

The Fourier Transform is one of deepest insights ever made. Unfortunately, the meaning is buried within dense equations: Wow. As opposed to bouncing into the images, we should encounter the key thought firsthand. Here’s a plain-English similitude: What does Fourier Change do? Given a smoothie, it finds the formula. How? Run the smoothie through filters […]

## Pareto Distribution

The circulation with likelihood thickness capacity and appropriation work characterized over the interim x>=b. It is actualized in the Wolfram Language as ParetoDistribution[k, alpha]. The th raw moment is for , giving the first few as The th central moment is for and where is a gamma function, is a regularized hypergeometric function, and is a beta function, giving the first few as The mean , variance skewness […]

## Cluster Sampling

Cluster sampling refers to a kind of testing strategy. With bunch inspecting, the analyst isolates the populace into discrete gatherings, called groups. At that point, a basic arbitrary example of bunches is chosen from the populace. The scientist directs his investigation of information from the inspected groups. Contrasted with basic irregular inspecting and stratified examining, […]

## Geometric Mean Definition

What Is the Geometric Mean? The geometric mean is the normal of a lot of items, the estimation of which is usually used to decide the exhibition aftereffects of speculation or portfolio. It is in fact characterized as “the nth root result of n numbers.” The geometric mean must be utilized when working with rates, […]

## Collinearity

In geometry, collinearity of a set of points is the property of their lying on a single line.[1] A set of points with this property is said to be collinear (sometimes spelled as colinear[2]). In greater generality, the term has been used for aligned objects, that is, things being “in a line” or “in a […]