 जीकवार। अरथ यह था जाल लोग स्वोक्यटेगों। चिए तब ज़ीक के आप श्वोक किषे यहंग है, तब उस क्छटधेफ्देफ्टेस वर चुता। जाल ठेवोक्टांग ़ेग्च किषेजिदेगाग, x, x which is equals to x1, x2, x3, this is the three-dimension, has a multivariate normal distribution with mean vector mu and the variance covariance matrix sigma. Now find the conditional distribution of x1 given x2 or also find the partial correlation. Further abha mai pas kya hai three-dimension hai, ek vector amai repas wo three-dimension vector ko ham ne partition kya hai, x1, x2 given x3. Now look at this, this is the vector x, x1, x2, x3. Here is the variance covariance matrix and you know the covariance covariance matrix which is equals to this. Now the x, x partition kya se hoa, x1, x2 given x3. So this is the x1 and this is the x2. Further partition kya se hoa gya, x1, x2 given x3. So this is the x1, x2, this is the sigma 11. So nahi, ye ap dekho yaha pe hai, this is the sigma 11, ye part sigma 11, this is the sigma 12, sigma 22 inverse and 39, this is the sigma 21. Further abha mai pas kya kya find karna hai. So the variance covariance matrix is sigma 11.2, this is the conditional and this is the conditional which is equals to the x1, x2 given x3. So these are the values of sigma 11, we know the value of sigma 11, sigma 12, 22 inverse and sigma 21. Now put these values in sigma 11.2, the after simplification we will get the result of sigma 11.2, this is the variance covariance matrix of sigma 11.2, this is the conditional. So the correlation 11.2, this is the partial correlation 11.2 which is equals to, this is the journal term, sigma ij, sigma ij this is the covariance, sigma ii square root means this is the variance of ith and the variance of jth. This is the journal term. Now sigma ij covariance, this is the covariance sigma ij minus 6.5625 and the diagonal terms are the variances. So sigma ii means first 24.4375 square root and sigma jj means the second 19.68 square root multiply these values then divided by minus 6.56 divided by this factor, you will get the answer of partial correlation 11.2 and which is equals to minus 0.2292.