Human beings are special because we not only have the 5 senses but we are also capable of anticipating events before they occur.
Although it usually happens that on certain occasions we can fail the ability we have to predict both positive and negative things, failures, triumphs or dangers.
But it does not mean that we are gods when predicting, rather we have a mathematical calculation that allows us to know what will happen, this calculation is called probability.
In probability, what we know as the Laplace rule is used, this rule consists of calculating the average of the cases by performing a division.
The cases that are favorable are represented in numbers in the numerator and the average of the cases that are possible in the denominator.
Probability is used in various areas of calculation such as physics, social sciences, statistics, mathematics, accounting, finance, economics.
However, many use probability in order to determine the chances they have of winning or losing in numerous games.
Each of these distributions contains functions such as the Student’s T distribution that helps to calculate the tail distribution.
In probability there are various operations for you to make your calculations, among them the distributions that are divided in several ways: Discrete uniform distribution, binomial distribution, continuous uniform distribution, Student’s T distribution, Snedecor distribution, exponential distribution, chi-square distribution.
The Gamma distribution contains values ​​for the calculation of alpha and beta, even in the chi-square distribution or also known as chiquad it has its functions.
What is the chi-square or Chiquad distribution?
The chi-square or chiquad distribution is the one that allows calculating the observed distribution that you develop when executing the goodness of fit, with the qualitative type data as well as knowing what is the confidence interval that is taken into account in a deviation of the standard type.
This standard deviation is also developed from the population when you calculate the joint normal distribution, with the standard deviation you get when calculating the sample.
The chi-square distribution is also known as the Pearson distribution, which are represented by those degrees of freedom that arise from the random variable with the aforementioned calculations.
These parameters are made up of k ϵ N, each of these symbolizes the degrees of freedom that each of them are calculated in the random variable, the chicuad is known as X².
Previously these calculations were done manually, now to save time and resources you can do them automatically.
For this, you have Microsoft Office that offers you endless tools with which you can make your calculations, because it contains formulas, calculations and functions in its Excel spreadsheets, without complications that will make your work easier.
How can you calculate the DISTR. CHIQUAD. CD adapting its syntax in an Excel spreadsheet?
The CHISQ.DIST is used to perform statistical calculations in order to calculate the probability that comes from obtaining the right tail result, as well as its distribution and its square.
You can apply the syntax of this distribution in this way: CHISQUAD.DIST.CD (x. degree-freedom), but I will show you how to do it step by step below.
Step 1
In your Excel spreadsheet, proceed to choose the cell where you want the result of the CHICUAD function that you will calculate to be reflected.
Step 2
Now, for you to insert the function, look for the tab with the Insert function option, which you can see in your Excel toolbar or just press right click, already being in the cell, choose Insert function that is available in the menu.
Step 3
Then look for the Statistics functions that you will observe and in the list that you will find you will see the option DISTR.CHISQUAD.CD and press click.
Step 4
Next you can enter your data that you want to calculate, but each of them must be separated using commas so that it performs the function better.
step 5
To finish, you just have to press Enter and immediately you will be able to know the precise data for the calculation of the function already carried out.
