2.7.2 · D5 · HinglishStatistics & Probability — Intermediate
Question bank — Cumulative frequency — ogive, median from graph
2.7.2 · D5· Maths › Statistics & Probability — Intermediate › Cumulative frequency — ogive, median from graph
True or false — justify
Last class ki less-than cumulative frequency hamesha ke barabar hoti hai
True — last class har ek observation ko accumulate karta hai, isliye uska running total poori population hota hai. Ye kisi bhi CF table par standard sanity check hai.
Ek less-than ogive kahin jagah neeche ki taraf slope kar sakta hai
False — cumulative frequency non-negative counts ka running total hai, isliye woh sirf flat reh sakti hai ya badhti hai. Neeche jaane waala segment ka matlab hoga negative frequency, jo impossible hai.
More-than ogive hamesha left se right ki taraf decrease karta hai
True — yeh count karta hai "kitne is boundary par ya usse upar hain." Jaise boundary daayein jaati hai, waise kam observations upar rehte hain, isliye count se ghatkar tak aa jaata hai.
Less-than ogive ko upper class boundary ke against plot karte hain
True — class ki upper boundary ke neeche ki har cheez count karta hai, isliye honest point hai (upper boundary, ). Midpoint use karne se poori curve left shift ho jaayegi.
More-than ogive ko lower class boundary ke against plot karte hain
True — kisi class ka more-than uski lower boundary se aage ki sab cheez count karta hai, isliye honest point hai (lower boundary, more-than ). Ye less-than rule ka mirror image hai jo upper boundaries use karta hai.
Grouped data ke liye median position hai
False — woh formula ordered ungrouped list ke liye hai. Grouped ogive ko smooth curve ki tarah treat kiya jaata hai, isliye hum use height par cut karte hain (aadha upar), nahi.
Median class hamesha sabse badi frequency wali class hoti hai
False — woh class hoti hai jahan cumulative frequency pehli baar cross karti hai. Sabse lamba bar us crossing se door bhi ho sakta hai; dekhein mode jahaan sabse lamba bar actually matter karta hai.
Twin-ogive crossing point median deta hai
True — us point par "neeche ka number" (less-than curve) aur "upar ka number" (more-than curve) barabar hote hain, aur dono ke barabar sirf median par hote hain. Perpendicular giraakar median ki x-value milti hai (figure
s02 dekhein).Agar do classes dono ka CF shared boundary par exactly ho jaaye, toh median undefined hai
False — median simply us boundary par baith jaata hai. Interpolation term zero ho jaata hai, isliye exactly hota hai (jaisa Example 1 mein hua, jahan woh 30 par aaya).
Ek ogive hamesha cumulative frequency zero se shuru hota hai
True — pehli class ki lower boundary se pehle, koi bhi observation count nahi hua hota, isliye curve us lower boundary par se shuru hota hai.
Less-than ogive ke neeche ka area ke barabar hota hai
False — ogive ek cumulative count curve hai, density nahi. Iske neeche ke area mein kuch meaningful nahi hota; useful information har x par height hai.
Spot the error
"CF 25 tak pahunch gayi (≥ 20) 'less than 30' par, aur boundary 30 par CF 25 ke barabar hai, isliye median class 30–40 hai."
Galat — median class woh hai jiske andar CF cross karti hai. CF 13 (20 se neeche) se 25 tak 20–30 ke andar badhi, isliye median class 20–30 hai, agle class nahi.
"Classes 10–19 aur 20–29 ke liye, main seedha aur use karunga."
Galat — ye discontinuous classes hain. Pehle continuous boundaries mein convert karo (9.5–19.5, 19.5–29.5), isliye hai. Ye step skip karne par har boundary 0.5 se shift ho jaayegi.
"Maine CF ko class midpoints ke against plot kiya, bilkul frequency polygon ki tarah."
Ogive ke liye galat — CF sab kuch upper boundary ke neeche count karta hai, isliye points upper boundaries par hone chahiye. Midpoints frequency polygon ke liye hain, cumulative curve ke liye nahi.
"Median formula mein median class ki khud ki cumulative frequency hai."
Galat — median class se pehle waali class ki CF hai (sab kuch jo par aate waqt already count ho chuka hai). Median class ki apni CF use karne se double-counting hogi aur result zyada nikalega.
"Maine graph se median read kiya par jaakar aur neeche drop karke."
Galat — curve ka bilkul top hai (neeche saara data). Median data ko aadha-aadha baantta hai, isliye sirf tak charhne ke baad across slide karo (figure
s01)."Less-than aur more-than ogives height par cross karte hain."
Galat — woh height par cross karte hain, jahan "neeche" aur "upar" dono counts barabar hote hain. par less-than curve top out ho chuki hai lekin more-than curve zero par aa gayi hai.
" mein, total frequency hai."
Galat — sirf median class ki frequency hai. Ye woh count hai jo width par spread hai, jo interpolation mein use hone waala per-unit slope deta hai.
"Mere median class ki frequency hai, toh main anyway interpolate kar lunga."
Galat — se formula zero se divide karta hai aur ogive wahan flat hai, isliye us class ke andar koi crossing nahi hoti. waali class kabhi median class nahi ho sakti; crossing wahan honi chahiye jahan curve actually rise kare.
"Pehli open class '<20' hai, isliye main uski lower boundary ko lunga."
Generally galat — unbounded class ki koi asli lower boundary nahi hoti. Common class width use karke ek reasonable finite boundary assign karo (e.g. '<20' ko 10–20 treat karo agar width 10 hai), warna interpolation base arbitrary hai aur result unreliable.
Why questions
Hum CF ko lower boundary ke against nahi, upper boundary ke against kyun plot karte hain
Kyunki class ki upper boundary ke strictly neeche ki har cheez ka tally hai. Point (upper boundary, ) tab ek sachcha "is x ke neeche itni values hain" represent karta hai.
Median formula mein numerator mein kyun use hota hai
observations tak pahunchte waqt already count ho chuke hain; hume halfway mark tak pahunchne ke liye abhi bhi aur chahiye. Wahi bacha hua count hai jo hum median class ke across interpolate karte hain (figure
s03).Fraction ke andar (na ki ) se kyun divide karte hain
Median class mein observations apni width par uniformly spread hain. Isliye class ka woh hissa jitna hume enter karna hai woh hai (count still needed), jo us class ke andar position deta hai — ek linear-interpolation step.
Twin-ogive intersection exactly median par kyun baith ta hai
Less-than curve deta hai "x ke neeche kitne" aur more-than deta hai "x ke upar kitne." Ye tabhi barabar hote hain jab dono ke barabar hon, jo definition ke hisaab se median hai.
Hum median class ke andar uniform spread kyun assume karte hain
Hume sirf har class ka total count pata hota hai, na ki har value kahaan baithi hai. Sabse fair, least-biased guess hai even spacing, jo ogive ko class ke across straight line banata hai aur interpolate karne deta hai. Ye mirror karta hai ki median grouped data ke liye kaise define hoti hai.
Ogive se milne waali median woh score kyun de sakti hai jo kisi student ne actually score nahi kiya
Ogive grouped data ko continuous quantity ki tarah model karta hai, isliye uska output us smooth curve par ek position hai — ek representative middle value, zaruri nahi ki observed data point ho.
Ogive method quartiles padhne jaisi idea kyun hai
Ek quartile bas alag height par hoti hai: ke liye , ke liye . Tum ki jagah us height par across slide karte ho; median simply (ya ) case hai.
Median class mein kyun hona chahiye
Kyunki less-than sirf wahan cross kar sakti hai jahan woh actually rise karti hai, aur woh sirf wahan rise karti hai jahan class frequency positive ho. Ek flat () stretch skip ho jaata hai, usme kabhi land nahi hota.
Edge cases
Agar har class ki same frequency ho toh median kya hoga
Ogive ek straight line ban jaata hai se tak, isliye uska median data range ka exactly midpoint hota hai — interpolation phir bhi chalti hai, bas centrally land karti hai.
Agar exactly ek class boundary par pade toh median formula ka kya hoga
Tab ya , jisse interpolation term ya poora ho jaata hai, isliye median ek boundary par land karta hai — interpolation ki zarurat nahi, jaisa Example 1 mein tha.
Agar pehli class ka CF hi ho, toh median class kaun si hai
Pehli class khud. Tab hoga aur pehli class ki lower boundary hogi; formula un substitutions ke saath phir bhi apply hoga.
Kya ek ogive poore ek class tak flat reh sakta hai
Haan — frequency waali class running total mein kuch add nahi karti, isliye curve us class ki width ke across horizontal rehta hai phir dobara rise karta hai. Aisi class kabhi median class nahi ho sakti.
"<20" ya ">80" jaisi open-ended class ko plot karte waqt kaise handle karte hain
Ise shared class width use karke ek finite boundary do — "<20" ko ek class-width wide treat karo (e.g. 10–20) aur ">80" ko 80–90 — plot karne ya aur read karne se pehle. Defined boundary ke bina curve ka koi honest starting/ending x nahi hai.
Agar sirf last class open-ended ho tab bhi median find kar sakte hain
Zyaadatar haan — median normally data ke andar kaafi gehraai mein hoti hai, isliye unbounded top class rarely ko touch karti hai. Tumhe sirf us class ke liye finite boundary chahiye jo actually crossing contain karti hai.
Agar do adjacent classes dono plausible median classes lagein toh kya hoga
Sirf ek hi crossing contain kar sakta hai. Dhundo kahaan CF se neeche se at or above ho jaati hai; wahi akeli class median class hai, aur tie upar wale boundary rule se resolve hota hai.
Ogive se milne waali median ka mean aur mode se kya relation hai
Ye generally alag hote hain. Symmetric distribution mein teeno ek saath milte hain; skewed mein ogive median mean aur mode ke beech hoti hai, extreme values se resistant hoti hai.