assalium o alekum
dear forex member umed krti hun ap sb kharyt s hun gy or mahnat s apna work complete kry hn gy jesa k ap janty hai k hmy weekly bounce hasil krny k ly daily three post share krni hoti jitni achi or knowledge hoga itni hm kamyab ho skty hai chlty h aj k topic ki trf
what is standard deviation?
mayaari inhiraf aik adaad o shumaar hai jo kisi deta set ke phelao ko is ke wast ke lehaaz se mapta hai aur usay tagayur ke murabba jarr ke tor par shumaar kya jata hai. mayaari inhiraf ka hisaab mutaghayyar ke murabba jarr ke tor par har data point ke inhiraf ko wast ke lehaaz se mutayyan kar ke lagaya jata hai .
agar data points wast se agay hain, to data set mein ziyada inhiraf hai. is terhan, data jitna ziyada phelaya jaye ga, mayaari inhiraf itna hi ziyada hoga .
headlines :
* mayaari inhiraf is ke wast ke lehaaz se deta set ke phelao ki pemaiesh karta hai .
* yeh tagayur ke murabba jarr ke tor par shumaar kya jata hai .
* mayaari inhiraf, maalyaat mein, aksar kisi asasay ki nisbat khatray ki pemaiesh ke tor par istemaal hota hai .
* aik ghair mustahkam stock mein aala mayaari inhiraf hota hai, jabkay mustahkam blue chup stock ka inhiraf aam tor par kam hota hai .
kmanfi pehlu ke tor par, mayaari inhiraf tamam ghair yakeeni sorat e haal ko khatray ke tor par shumaar karta hai, yahan tak ke jab yeh sarmaya car ke haq mein ho — jaisa ke ost se ziyada munafe .
understand to standard deviation
mayaari inhiraf fnans mein aik shmaryati pemaiesh hai jis ka itlaq jab kisi sarmaya kaari ki salana sharah munafe par hota hai to is sarmaya kaari ke tareekhi utaar charhao par roshni dalta hai .
sikyortiz ka mayaari inhiraf jitna ziyada hoga, har qeemat aur ost ke darmiyan itna hi ziyada farq hoga, jo qeemat ki aik barri had ko zahir karta hai.
calculating to standard deviation
mayaari inhiraf ka hisaab darj zail hai :
* ost qader ka hisaab tamam data points ko shaamil karkay aur inhen data points ki tadaad se taqseem karkay lagaya jata hai .
* har data point ke farq ka hisaab data point ki qader se ost ko ghata kar kya jata hai. un ke nateejay mein anay wali qadron mein se har aik ko phir murabba kya jata hai aur nataij ka
* khulasa kya jata hai. is ke baad nateeja ko data points ki tadaad se kam aik se taqseem kya jata hai .
* tagayur ka murabba jarr — number se nateeja. 2—phir mayaari inhiraf ko talaash karne ke liye istemaal kya jata hai .
how to use standerd deviation?
mayaari inhiraf sarmaya kaari aur tijarti hikmat amlyon mein aik khaas tor par mufeed tool hai kyunkay yeh market aur security ke utaar charhao ki pemaiesh karne mein madad karta hai — aur karkardagi ke rujhanaat ki paish goi karta hai. jaisa ke yeh sarmaya kaari se mutaliq hai, misaal ke tor par, aik index fund mein is ke bench mark index ke muqablay mein kam mayaari inhiraf ka imkaan hai, kyunkay fund ka maqsad index ko naqal karna hai .
doosri taraf, koi bhi jarehana taraqqi ke funds se nisbatan stock index se aala mayaari inhiraf ki tawaqqa kar sakta hai, kyunkay un ke port folyo manager ost se ziyada munafe peda karne ke liye jarehana shart lagatay hain .
dear forex member umed krti hun ap sb kharyt s hun gy or mahnat s apna work complete kry hn gy jesa k ap janty hai k hmy weekly bounce hasil krny k ly daily three post share krni hoti jitni achi or knowledge hoga itni hm kamyab ho skty hai chlty h aj k topic ki trf
what is standard deviation?
mayaari inhiraf aik adaad o shumaar hai jo kisi deta set ke phelao ko is ke wast ke lehaaz se mapta hai aur usay tagayur ke murabba jarr ke tor par shumaar kya jata hai. mayaari inhiraf ka hisaab mutaghayyar ke murabba jarr ke tor par har data point ke inhiraf ko wast ke lehaaz se mutayyan kar ke lagaya jata hai .
agar data points wast se agay hain, to data set mein ziyada inhiraf hai. is terhan, data jitna ziyada phelaya jaye ga, mayaari inhiraf itna hi ziyada hoga .
headlines :
* mayaari inhiraf is ke wast ke lehaaz se deta set ke phelao ki pemaiesh karta hai .
* yeh tagayur ke murabba jarr ke tor par shumaar kya jata hai .
* mayaari inhiraf, maalyaat mein, aksar kisi asasay ki nisbat khatray ki pemaiesh ke tor par istemaal hota hai .
* aik ghair mustahkam stock mein aala mayaari inhiraf hota hai, jabkay mustahkam blue chup stock ka inhiraf aam tor par kam hota hai .
kmanfi pehlu ke tor par, mayaari inhiraf tamam ghair yakeeni sorat e haal ko khatray ke tor par shumaar karta hai, yahan tak ke jab yeh sarmaya car ke haq mein ho — jaisa ke ost se ziyada munafe .
understand to standard deviation
mayaari inhiraf fnans mein aik shmaryati pemaiesh hai jis ka itlaq jab kisi sarmaya kaari ki salana sharah munafe par hota hai to is sarmaya kaari ke tareekhi utaar charhao par roshni dalta hai .
sikyortiz ka mayaari inhiraf jitna ziyada hoga, har qeemat aur ost ke darmiyan itna hi ziyada farq hoga, jo qeemat ki aik barri had ko zahir karta hai.
calculating to standard deviation
mayaari inhiraf ka hisaab darj zail hai :
* ost qader ka hisaab tamam data points ko shaamil karkay aur inhen data points ki tadaad se taqseem karkay lagaya jata hai .
* har data point ke farq ka hisaab data point ki qader se ost ko ghata kar kya jata hai. un ke nateejay mein anay wali qadron mein se har aik ko phir murabba kya jata hai aur nataij ka
* khulasa kya jata hai. is ke baad nateeja ko data points ki tadaad se kam aik se taqseem kya jata hai .
* tagayur ka murabba jarr — number se nateeja. 2—phir mayaari inhiraf ko talaash karne ke liye istemaal kya jata hai .
how to use standerd deviation?
mayaari inhiraf sarmaya kaari aur tijarti hikmat amlyon mein aik khaas tor par mufeed tool hai kyunkay yeh market aur security ke utaar charhao ki pemaiesh karne mein madad karta hai — aur karkardagi ke rujhanaat ki paish goi karta hai. jaisa ke yeh sarmaya kaari se mutaliq hai, misaal ke tor par, aik index fund mein is ke bench mark index ke muqablay mein kam mayaari inhiraf ka imkaan hai, kyunkay fund ka maqsad index ko naqal karna hai .
doosri taraf, koi bhi jarehana taraqqi ke funds se nisbatan stock index se aala mayaari inhiraf ki tawaqqa kar sakta hai, kyunkay un ke port folyo manager ost se ziyada munafe peda karne ke liye jarehana shart lagatay hain .
