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STA642 Past Papers Midterm |
STA642 Past Papers Midterm | STA642 Midterm Past Papers
STA642 Past Papers | STA642 Past Papers Info |
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Post Title | STA642 Past Papers Midterm |
Book Code | STA642 |
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STA642 Past Papers Midterm
Paper sta642 ka quiz or properties pdf ,cdf, distribution formulas or theory se aye ga...sta642 ka her paper change hota hy kyu k lec mein kuch khas ni hy ek din mein jin logo ka paper ho wo question current repeat hoty hein... expectations waly ,prove Waly question aty hein long mein or 3 marks mein conditions waly aty hein
STA642
Joint probability sa long question
P1,p(-1) maloom krni thi long
Correlation
Mode
PMF
CDF
Quiz are easy basic concept
80% past files sa thay
Today Sta642 paper at 8.00:am
mcq.s all from mega file. But subjective from handouts .
Aik m m variance find krna tha characteristics function se first derivative given tha.
STA642 Past Papers Midterm 2
- Sta642 today paper 11:30
- Mcqs 18 from file 2 handouts
- 1-what is the condition to exist distribution function. (2marks)
- 2- what is mode. Is two variables of mode exist or not. (2 marks)
- 3- what is median? (3mark)
- 4- what is central generating function? (3marks)
- 5- Define sample space and if two dices are rolled together then show its probability.(5 marks)
- 6- integration of 4x1x2 if 0<x1<1,0<x2<1 find p(x1<x2) (5marks)
- Objective easy tha files sa tha 4 5 handout sa thy
- Cdf r df define krna tha I=12,3,4,5,6 given thy F(4)find krna tha ...y1 = x1+x2 and y2 b given tha pts nai kia find krna tha ismy ak kafi lengthy proof that by integration solve krna tha
STA642 Past Papers Midterm 3
Paper sta642 ka quiz or properties pdf ,cdf, distribution formulas or theory se aye ga...sta642 ka her paper change hota hy kyu k lec mein kuch khas ni hy ek din mein jin logo ka paper ho wo question current repeat hoty hein... expectations waly ,prove Waly question aty hein long mein or 3 marks mein conditions waly aty hein
My today paper of sta642
15 to 16 Mcq's are from qrand quiz file
Example of pgf
Formula of first and second m
MGF
One long question on probability distribution function 4x1x2 x1 was between 0 to 1/2 and x2 was 1/4 to 0