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Tate fo sane, 3 Php 000 ed 910% pounded quarter, row much wilbe he sou ert «Acetate a x tet Siang ss ae se ance pei prchases, aon pat woe pt ~ Spanos a ety nc gc ene oey ‘Cason soe cme ais eal momty s ec emis pam me spatattene ae oe Ae es | Riiyimorasrtetrg sues ete sso Fae niaatieclrantsen carstnem| [Sch eas we grey cin ncmima tinal |" wana isonenerterereese meas __Ressiisg aise tenes a ye rsiainen amas, he len can si the ass [SEES Sceanetes ected TE nema stmatn amin, Tre os cornen modo dling france charges : “is he average iy tance method eet charges ae ingens 0 gto pate of [bow ote oe cots trey am) a sk Becca te ne oe a - caleulated by dividing the sum of the total amounts owed isti ‘te main goal Pip props, cxysntuatons, and conscted fs tcc ob nt yi ys Statistics esses ‘me ae a (Emrstciundamromennms eb Sad | te ne mr stn ntl ati ane ecalenantsmees eyof emie etna ~ oP aenf er and evan a nets an Variable ~ te vibe hse wae isbeng Variable rede Pe Gur bp geoph cas egouspeteece, | methane deanguepete =a clacton of bserations on one or more bes acta formation such ak measurement asso veasoning, cussion or or Categorie Data — se runt forte iserayrg memaersie na ean sey See eat es ee found through surveys, experiments, numerical 4 coe 3 Data — does rete incude “greater than’ a than relationship, tut also has a tof ease fermi us to describe how mach more orlessoe than another oa ru ar hich mane 2 ot ly nating lang, reser and erag umeral de, lection votes es desu or sunmarizasuaon, ‘measurements of length, eight, weight, area, c volume, dons, velcty, amount of money et. ~ lhenise desctie average daly dlvery of 1000 packages pe day ges of studontsenvlod in MMW subject epee i fe ele rades of engineering students in MMW | based on repr or data bing presented, senting ximmarized Tesi Fam ca a en terest anoh nar Cg aa fe meer ra] fomieraneny tigen romney tenes al bts caning Irrorcs. appropriate and corect a0 of bade ae employed to beg cut “Thus, conclusion may be shown ~ ordering ofthe abservations from smallest largest or vice-versa. has atvartages because the |“Decide on the sto oupings called classes 4 Sorting or tallying the data into classes ¥ Counting the number of tales in each calle cass frequencies ‘il ct Sto ll 18 0-18 = 98ert0 NASZEE spycinats sae A conenin value o state frst cassis 10.oF may sat wi the smallest vale of te aay of us inte cen exalt fis class would Poteet ote 92 op. UE foe at + Loretta ces tion Tab Sella u fee Bn Sermo han 15 dase ranges mals of numbers that easy fo ‘ith (Open classes shoul be aoiled such as cases. “ess ha er"mee tar Classes shel at oveap ae Successive asses fs cad a tue imi o cla boundary. tis obtained by adsing the upper I ‘of one cas andthe lowe: it ofthe next lass and then Siting by 2 intents ‘Upper it + Lower tit 2 40619 ution _ (Gaga! Fr open me pn mang song vn rene te awcos a Pe art t ces m gon Lea Lowrnton cas ee ~ distibsion wher adpied vertical rectangles are frequencies. A histogram is cad 2 frequency histogram when frequencies are ped sng the las aganstihe class towdaros = and “greater than’ ‘Frequency Distribution " Is closed foue of n side constructed ploting the class marks agains the frequencies. In constucting a frequency polygon, Gass, ct ee ee ‘ass marks are drawn in order to close ry tram a tr gah a cays feuenes usr “Te fequnaes sae ogi ot he tae ‘entmus a, hrc Tine graph representing the upper cla boundaries along the horizontal axis and ‘coresponding curulatve frequencies along the vertical ans. is aso called ‘cumulative frequency polygon; otherwise iterate than cumulative frequency A circle that is divided into sectors pie- shaped pieces which are proportional in size to the corresponding frequencies or peroentages of frequencies 7 ion evo secern beens ‘A frequen) gn ig @ te oh fame by cone Clas ansinapon feat mova Tho foqances Inenogtat ne pers fe On ea gph of come fags. arses tow ‘ny nme ors any pare ‘kB chat i a oer gap wien Wetter rune ns othe aly reeses.easures of Cerra! Tendency re may ways of desing ofa en et o 1A od number cf cesrptve measures. ost Salis whose use depends laely on te naire ta andthe tended purpose fhe desriton. meas I the mest of coal endency, & to s00 tow a lage sot of raw morals can Surenariod so thatthe meaning esoral can ‘eta emit The mest comoriy_ measures of sethe Mean, Mein and Node, meanmedian mete | megan ‘been andthe mean eo. the pret of mean adhe number of tas on ich meni asd se Be sano oan ‘Herthian ote ga snail ya sctal mean hen sum of hose subshuons wal ecqua tothesum oe nddualioms, ~ itisnotndependent of hang of eign andebange “can be called for any sto rumor data. 1 Sel ot numeral dala hat one an oly one ean the most lable meastre of ental tndncy F Grouped Data roped deta, the formula for finding he mean is as lows sian f be valve of 6 mse "tered arangiment of daa. at ‘Ssbuton, half ofthe ems ae located above ‘mean an hl thet te cae Blo the elon The medan Is a posional measure, Fence the values of thecal ems ‘tinton do net tec ba maa, “The medion isthe mide vauein ast ores fom ale geet panwonmit mina nant ig lk Eats re: -steaey| hse «Tres aig edan fea tae. | fororinal or rank measreent ‘Tirta: ymey geared) then sto suhce econ ne ean ame Ihecue svtutemsnaedcodintecyetel" | Y when e dren nartaay ewe oto yen ae ; save cer AP Sovmmmyomenecrcavascese@l ME |p. i.+(! ; «Hence abe at Seu mie fe : “adn ed ene a un cat fo tin ha pet ol J 4 “isin cm ane ep neo eeiaerdis nore paella concise mama sess sseas eon tema et ; Breese’ tint imseal siiiatcemmmroumensnten |< vmremaeeexmnnamm | a eta ta “erton 7 Spano ea te ee | oe ‘The mode Ie the simplest measure of cot tendency. It may be early ented by mere evens Ra Fes se ie rere acento ence ta ee iageye wate.) di Sal oD when the quickest value of central tendency is ‘moro han one mode, ots mode may nol wis or 8 lokng at an ungeuped set of sores and locing, area ested Tesco tem fchoxarsmestfeqeth, canbe ved or quate a wel as uate dein wien avr ugh ae of eta lenders | | not ateted by exreme vas. acceptable “ Unimodal— hen dtibtonsanyane mate "7 fos means used when eda ae rominalor =v “+ Malimodal- wen dtibson of modes is mare SOLIDE tation eden meaeeeeieeaa jen we wish throw he most ypc or mere Cae pecs ees ra -requet case inthe disrbuon ~ ised when you wantokrom the most fequent 1 inal hen dstrbaton vo moses 1 Trmodal— hen dbuton is tree modes | ae umber er absenaton in aastbuton. in the made ofa grouped dala, he formula blow