How to use F distribution using numpy matplotlib and seaborn library Python NumPy Array Hindi

F-distribution ko Fisher-Snedecor distribution bhi kahte hain.

F-distribution ka use same type ke population ke beach me difference find karne ke liye kiya jata hai.

1. dfnum: float or array-like float values
2. dfden: float or array-like float values
3. size: random number serires

F-distribution ka sabse jada use ANOVA test me hota hai.

ANOVA (Analysis of Variance) ek parametric statical technique hai, jiski madad se data set me comparigion kiya jata hai.

Example ke liye: 25 bacho ka group hai jinhe dibeties hua hai aur 25 bacho ka group hai jinke parents ko diabeties hua hai. To kya chanse hai ki jinke parents ko diabeties hua hai unke bacho ko bhi ho sakta hai?

F-distribution ke andar 2 parameters hain:
1. dfnum (degreee of freedom in numerator)
2. dfden (degree of freedom in denumerator)

Aur ye dono hi paramets zero se greater then honge.

F-distribution ke random variates ko continuous probability distribution family me rakha gaya hai.

F-distribution, Chi-square distribution ke similer hai jaha par distribution ki probabiliy ko find kiya ja raha hai.

But Chi-square distribution me single varaibles set ke sath degree of freedom (df) find kiya jata hai.

F-distribution me multiple variables set ke sath ya multiple levels ke events ke sath different degree of freedom par work hota hai.

So, Degree of freedom ke alag-alag level par F-distribution ka alag-alag version dekhne ko milega.

Reference Links:

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