西格瑪綠帶培訓(xùn)Maerials

Revision :1.00Date :June20016西格瑪綠帶培訓(xùn)MaterialsTWO-6-4-20246標(biāo)準(zhǔn)偏差第二天:TestsofHypothesesWeek1recapofStatisticsTerminologyIntroductiontoStudentTdistributionExampleinusingStudentTdistributionSummaryofformulaforConfidenceLimitsIntroductiontoHypothesisTestingTheelementsofHypothesisTesting-----------------------------------------------------Break--------------------------------------------------------------------LargesampleTestofHypothesisaboutapopulationmeanp-Values,theobservedsignificancelevelsSmallsampleTestofHypothesisaboutapopulationmeanMeasuringthepowerofhypothesistestingCalculatingTypeIIErrorprobabilitiesHypothesisExerciseI-----------------------------------------------------Lunch--------------------------------------------------------------------HypothesisExerciseIPresentationComparing2populationMeans:IndependentSamplingComparing2populationMeans:PairedDifferenceExperimentsComparing2populationProportions:F-Test-----------------------------------------------------Break--------------------------------------------------------------------HypothesisTestingExerciseII(paperclip)HypothesisTestingPresentation

第一天wrapup第二天:Analysisofvariance和simplelinearregressionChi-square:AtestofindependenceChi-square:InferencesaboutapopulationvarianceChi-squareexerciseANOVA-AnalysisofvarianceANOVA–Analysisofvariancecasestudy-----------------------------------------------------Break--------------------------------------------------------------------TestingthefittnessofaprobabilitydistributionChi-square:agoodnessoffittestTheKolmogorov-SmirnovTestGoodnessoffitexerciseusingdiceResult和discussiononexercise------------------------------------------------------Lunch-------------------------------------------------------------------Probabilistic關(guān)系hipofaregressionmodelFittingmodelwithleastsquareapproachAssumptions和varianceestimatorMakinginferenceabouttheslopeCoefficientofCorrelation和DeterminationExampleofsimplelinearregressionSimplelinearregressionexercise(usingstatapult)------------------------------------------------------Break-------------------------------------------------------------------Simplelinearregressionexercise(con’t)Presentationofresults

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震S逝P鎖C逮r自u數(shù)n禿t統(tǒng)e咳s因t-誕-忙-葛-纏-獸-請-輪-細(xì)-域-裙-憐-擺-傾-逃-庫-窗-拿-騎-貝-濟-幼-杜-向-母-饒-煮-仰-順-傾-托-律-津-計-污-裁-圓-棕-續(xù)-草-跳-蜘-技-帳-躲-悉-孫-叢-咽-弊-館-網(wǎng)-筆-順-呈-獅-守-扎-容-郊-慰-盾B編r稀e絡(luò)a棗k照-蛛-紹-減-弱-尺-概-紐奉-伏-造-辟-磨-飲-狗-押-理-域-撿-籌-潮-催-化-筑-通-核-桂-場-釣-咽-佩-軋-凈-萌-既-登-店-害-深-吹-能-沃-阻-事-臟-恩-撫-滲-角-葉-牢-御-狀-穩(wěn)-原-榮-滑-瞧-彈-嗎-白-X襯b酸a科r搭R皮C扒h律a問r界t鼠e觸x怨e將r相c啦i看s漢e綠(耐u塔s減i蹲n姨g腳D別i丹c跡e挪)I引n侮t及r銀o榜d癢u賺c姑t誼i源o團n青t疼o擦X慕b右a輝r蛇S蒙C予h略a虎r屢tI丑m浮p丈l愉e野m涉e脖n破t貢i母n抬g焦X露b歸a堂r舞S羅C作h慮a伐r漁t為模什品么X清b咳a扶r團S陶C鋪h絞a濱r紡t蔽?I迷n僅t未r肚o揀d或u迫c嗽t殲i蠟o常n員t粒o酬I鮮n才d養(yǎng)i退v錄i免d軟u絹a晝l護M恢o腳v棋i情n寄g汪R菠a哲n疾g斬e嶼C綠h俗a槳r蹲tI攀m紙p尋l生e或m煎e尾n刪t漲i滾n淺g夫I舉n糞d欠i期v貞i經(jīng)d根u只a仰l每M叨o趣v閱i陽n漢g負(fù)R增a愈n勵g褲e哲C進h莊a部r升t為闖什目么X哨b臣a堂r窮S捉C電h拆a辱r欣t極?-尖-據(jù)-香-照-煮-股-拋-穗-趣-竿-岡-股-版-營-若-散-戒-指-鬧-脖-抵-丟-嶺-飲-秘-持-橡-永-宋-廁-糕-值-順-略-駛-飼-童-甜-罷-謠-剖-兩-央-殼-感-推-樓-改-露-些-縣-亦-奴-雖-住-辮-招-均-位-柜-春L民u副n唉c餃h襯-愈-案-皂-精-撞-科-愧-嬌-嘆-丘-可-劣-泡-膀-損-酒-司-漫-閃-賭-食-刃-某-括-甘-敵-蕩-龜-潑-測-津-雖-啄-草-敞-觀-升-未-炊-情-述-勇-店-色-遭-燈-短-英-緒-棋-工-蛋-律-累-璃-睡-抓-街-霧-C奧h瘋o槽o幼s掘i映n銹g拔t址h朱e紀(jì)s慚u傅b味-趣g最r款o割u貨pC黃h礦o殊o家s窮i蹲n書g芬t跌h逗e延c絕o湯r鼻r音e柳c夜t女s露a襪m賓p知l聾e我s防i擁z錯eS慰a發(fā)m雞p沙l擇i污n鍛g母f鄉(xiāng)豐r車e終q備u績e騙n湯c舊yI化n害t館r怖o寨d蠻u記c代t贊i抄o寧n坊t毫o豎c凳o藍(lán)n孤t抱r貸o和l石c嶄h童a章r主t咽s涌f故o擦r扇a辱t浸t貼r輝i詞b偷u勾t很e如d料a座t因an毅p躲C心h諷a章r貴t燃s爪,沃p賓C數(shù)h齡a篇r偶t油s葡,爸c盤C絮h鴨a泛r貢t溝s恩,儲u稠C泄h湖a啦r播t錫s-峰-彎-布-犬-涉-松-畏-嫂-沫-腫-淺-訊-奸-角-鳴-詢-仙-膛-想-命-車-擊-茫-館-局-典-洲-阻-恩-誤-牲-匯-仗-茄-勺-澆-奔-破-茂-掉-槳-晨-腥-稈-婦-壟-爭-獲-嶄-豬-吵-侄-蔑-區(qū)-你-宮-末-刺-彩-識-遺B旨r困e塘a新k際-井-感-皂-就-占-促-準(zhǔn)-閉-液-拌-旨-叼-洗-瞞-燈-題-套-睬-尾-動-湯-書-右-戰(zhàn)-臨-下-概-內(nèi)-錘-砌-柱-貝-冒-數(shù)-招-紗-坦-錦-浴-惜-盜-鹿-棄-旗-季-凝-鋤-插-加-謝-莫-側(cè)-壘-散-糾-蝴-晴-暑-詠-A襪t啄t滅r筑i粘b撥u治t觸e朱c面o最n何t壤r滾o魂l蹦c牽h悼a進r珍t迫e寒x耽e鋪r嶺c喝i竹s樣e您(忠p堡a馳p堡e洞r叨c同l饒i齊p探)O蒜u止t癢o扭f貴c犧o低n也t噸r彩o梁l像n筆o權(quán)t誰n胸e控c筐e童s程s側(cè)a貪r什i無l慌y斬i強s挖b猾a蓋dD擔(dān)a旱y訴5稅w殿r敏a抽p登u器pR湯e愉c趨a她p擦o溫f仔S清t皇a豬t莊i嚼s衛(wèi)t另i灰c賭a踢l閥T某e晨r柳m荒i擇n獎o小l蛙o伙g樓yDistributionsdiffersinlocationDistributionsdiffersinspreadDistributionsdiffersinshapeNormalDistribution-6-5-4-3-2-10123456------------------------------99.9999998%-------------------------------------------99.73%--------------------95.45%---------68.27%--±3

variationiscallednaturaltoleranceA芹r案e研a耳u滑n終d梨e贈r仿a襪N挎o安r紹m儲a縮慧l肚D嫁i抄s訴t楊r這i立b歲u裙t克i淋o庭n流瓜程c片a他p華a冬b墾i稱l淡i刃t所y例p促o鍵t代e化n荷t完i沃a嫌l擺,屬C孤pB攜a怨s艦e鐵d菊o屢n腐t菌h富e早a愛s綠s指u折m侄p浩t該i撲o桌n放s革t腰h膽a扭t隔:流德程i豈s抓n搶o偏r示m碰a弱lNormalDistribution-6-5-4-3-2-10123456LowerSpecLimitLSLUpperSpecLimitUSLSpecificationCenterI們t留i青s顯a潮2暖-覽s貸i耽d塘e杰d逐s璃p滅e肌c跑i瓜f鏟i償c秤a錢t頭i潑o抹n流統(tǒng)程m肢e央a蔑n防i艱s籠c乞e盤n閉t居e躺r到e殃d鑒t叉o麗t個h蛋e率d秩e膛v無i躍c蜂e傻s珠p結(jié)e云c冷i福f前i溉c忠a棍t厚i獄o枯nS混p會r和e思a峰d管i末n蓮s核p沉e包c成i誕f栗i鳴c匙a咬t侄i門o羅nN使a幟t差u莊r壯a諸l聯(lián)t偏o白l測e原r革a栗n赴c唯eCP=USL-LSL686=1.33流洞程C港a羅p薪a吧b媽i扒l協(xié)i汽t救y軟I掙n南d窩e伐x慌,促C彎p伯kB命a道s籠e妙d齡o爹n勉t菠h屬e連a撕s島s撥u魂m卵p觸t過i芝o號n窮t蕉h匪a攏t味t挖h嘆e流羅程i列s炕n倆o貼r亦m語a塵l和i魚n獻(xiàn)c址o狗n域t輕r吃o洽l2蹈.寺A奔n心i邪n獸d攪e幻玉x缺t鍵h押a復(fù)t杰c犯o表m直p慚a障r泡e括t香h嚼e流李程c痰e交n廟t兼e私r庸w題i若t輛h嘉s逢p插e械c捏i厘f寶i販c授a左t王i邁o脊n畏c狹e緊n犬t御e愚r(nóng)NormalDistribution-6-5-4-3-2-10123456LowerSpecLimitLSLUpperSpecLimitUSLSpecificationCenterT由h姓e撤r獨e的f勁o判r假e博w昨h戰(zhàn)e扮n奏,C粥p堅k得<毒C漢p歉;岔t嚇h答e炭n流看程i辜s建n俯o籃t嶄c功e劍n筑t艱e屢r家e聯(lián)dC寒p牲k腿=嬸C賞p抗;可t邀h芝e魚n流兇程i遙s劃c逗e明n趁t飛e查r鍵e所dUSL-Y3Y-LSL3Cpk=min,T享h樹e流宴程o沖f止c鞭o宵l隊l顧e跌c就t尊i澇n享g肉,藏p頌r更e不s擔(dān)e逢n導(dǎo)t數(shù)i警n諸g和d朱e狡s拌c炮r白i恐b價i蘆n拴g漢s程a膨m癢p揭l船e插d春a沫t污a夜,還u勿s吐i犧n毒g摧g灣r剖a嚇p食h陰i榜c俯a俯l工現(xiàn)具密和n都u鉤m書b可e閉r坑s幻玉.P鵝a傘r族e云t平o誤C屈h料a窯r繞tP炊o端p州u逢l柱a衡t抄i豪o梯n齊m輩e滑a牽nH屈i奏s稀t剝o造g連r己a詞mP轟o酷p齊u邪l(fā)嘩a渣t藥i啦o溝n標(biāo)挽準(zhǔn)體偏拾差D歸e將s漿c活r壓i淺p給t辱i社v遙e歡S榆t顧a倘t啄i品s起t鬧i幫c山sEstimatesforDescriptiveStatisticsThe流程ofestimatingthepopulationparametersfromsample(s)thatwastakenfromthepopulation.Samplemean,XPopulationmean,mSample標(biāo)準(zhǔn)偏差,SPopulation標(biāo)準(zhǔn)偏差,(whensamplesize,n>20)Estimated標(biāo)準(zhǔn)偏差,R/d2

Population標(biāo)準(zhǔn)偏差,(whensamplesize,n20)P變r登o添b嶺a此b更i篇l懷i糕t忘y陡T除h日e消o叢r裹yP專r撐o嗚b扯a呀b冰i掃l斷i板t鞠y百i黃s米t循h(huán)遭e銅c些h瞇a掏n寬c衫e突f驗o甚r轟a潮n顛e額v退e涂n黑t舟t譽o紀(jì)o喬c怒c絞u待r降.S作t禮a間t敗i欣s騰t陷i沃c頸a座l剛d蘋e境p飾e帽n診d據(jù)e塵n伍c疫e匹/此i雪n園d燭e瘦p咽e承n甘d億e揮n括c衫eP叨o館s丙t送e鞋r慚i牲o發(fā)r猾p禿r仆o朵b仰a溜b爺i替l則i太t答yR宇e偵l電a巴t緩i元v蜜e維f玩r站e辦q恨u陣e替n劑c葵yM喘a惠k魔e咽d嶼e巨c碼i熟s潮i猾o辜n拒t靠h狹r估o掙u豆g融h飯p拔r腐o淺b懂a(chǎn)鬧b椒i國l籌i陣t帽y圓d孫i藏s樂t寺r沉i坡b哄u找t趁i矮o犁n決s(躲i勉.睬e哀.器B粘i栽n飛o頂m孤i今a糞l錢,梳P但o溉i難s舒s糾o念n醒,繼N溜o片r藍(lán)m籌a冰l師)CentralLimitTheoremRegardlesstheactualdistributionofthepopulation,thedistributionofthemeanforsub-groupsofsamplefromthatdistribution,willbenormallydistributedwithsamplemeanapproximatelyequaltothepopulationmean.Setconfidenceintervalforsamplebasedonnormaldistribution.Abasistocomparesamplesusingnormaldistribution,hencemakingstatisticalcomparisonoftheactualpopulations.Itdoesnotimpliesthatthepopulationisalwaysnormallydistributed.(Cp,Cpkmustalwaysbasedontheassumptionthat流程isnormal)I始n隔f禁e稻r象e脾n偉t圖i滑a族l傘S逐t皆a肯t麗i這s怖t姜i搏c校sT慣h煎e流宴程o考f圍i井n哄t坦e茫r乳p添r壟e剪t錫i族n陶g撓t躁h咽e頓s殺a物m認(rèn)p濱l填e安d健a瞎t風(fēng)a脊t弦o捏d心r溪a基w夕c席o太n宰c腿l撕u添s改i彎o戀n渡s軍a環(huán)b埋o再u巧t朗t怒h(huán)旱e臨p星o售p站u坐l戶a刻t亭i肚o策n墨f旨r快o割m尋w臉h氣i學(xué)c柜h哥t燒h弦e去s室a肚m飛p霸l綱e肺w酸a捐s隆t也a筋k貫e赤n完.C磁o番n松f貍i鬼d廟e啄n乏c達(dá)e朝I穩(wěn)n魯t多e填r良v糕a聚l(肢D戚e搬t(yī)相e率r飽m撒i遮n店e欲c安o寶n知f憐i匹d湯e走n孝c泥e風(fēng)l阿e撈v棋e滅l隊f偉o卡r郊a螺s炊a馬m矩p腎l翼i妻n挪g益m財e感a洽n準(zhǔn)t役o經(jīng)f好l椅u容c你t挎u券a露t連e尺)T盒-掉T林e科s土t和F撥-偷T菠e斥s巡壽t(屬D奸e供t攝e唇r染m測i鳴n秧e深i紫f側(cè)t粒h道e提u棉n朵d高e墾r揉l(xiāng)上y贏i助n懷g馳p掀o話p征u終l賽a鑰t他i選o涼n營s攝i妖s禿s品i耳g掌n巖i電f奮i怖c孟a坐n駝t泡l斷y笛d健i消f靠f信e搖r瞎e央n烘t群i幼n傳t籮e展r傭m虛s鑼o市f劃t蔑h咱e蔽m休e孟a糕n畜s和v筐a病r瓶i甚a園t化i頌o殲n趙s距)C亞h偷i勻-父S桶q山u姓a饅r瘡e劑T境e離s擋t斃o贈f召I強n玻d淘e股p慢e夢n備d兔e派n桂c究e(臺T移e諒s勺t列i擴f似t及h洪e蟻s浮a派m浩p菜l今e小p緣瑞r墳o館p待o皇r租t懸i矩o鴉n獵s創(chuàng)a鈴r土e抹s探i鞭g榨n推i脂f霞i圈c號a雨n津t得l藝y撓d訊i稱f嗽f露e性r處e息n淹t批)C活o苗r治r妙e露l娛a陣t分i膠o畜n和R監(jiān)e光g鐮r肢e師s量s班i克o恰n(雄D繩e右t乳e有r徑m琴i蹄n廚e損i桂f關(guān)葵系h買i躬p術(shù)b憐e奏t登w摟e溝e晌n墾v喂a染r闊i淚a擦b莫l條e政s升e倉x唯i栽s龜t警s也,和g甜e雅n床e鍋r矩a票t壟e油m茅o畢d科e祖l固e昌q朽u揀a撕t拌i做o州n河t尿o池p徒r丙e壁d案i舍c念t撓t秋h夕e蘋o追u遵t再c幼o策m柄e挨o鑰f仍a須s悄i騰n交g敏l四e堆o銜u掘t匹p忠u抄t冰v定a賊r涂i商a膽b見l艘e扎)C米e將n擁t貌r淺a遣l丸L邁i異m努i珍t晃T獎h裹e拼o室r極e躍mThemeanxofthesamplingdistributionwillapproximatelyequaltothepopulationmeanregardlessofthesamplesize.Thelargerthesamplesize,thecloserthesamplemeanistowardsthepopulationmean.2. Thesamplingdistributionofthemeanwillapproachnormalityregardlessoftheactualpopulationdistribution.3. Itassuresusthatthesamplingdistributionofthemeanapproachesnormalasthesamplesizeincreases.m=150Populationdistributionx=150Samplingdistribution(n=5)x=150Samplingdistribution(n=20)x=150Samplingdistribution(n=30)m=150Populationdistributionx=150Samplingdistribution(n=5)某卻些t匹a收k舒e址a餃w弊a黃y銀s堆f獸o扒r厲s義a踐m尚p萄l甘e筋s作i烏z竿e和s旱a僵m淚p因l估i食n賣g個d舞i作s論t臉r綁i襲b驚u風(fēng)t笑i綿o亡n

Forlargesamplesize(i.e.n30),thesamplingdistributionofxwillapproachnormalityregardlesstheactualdistributionofthesampledpopulation.Forsmallsamplesize(i.e.n<30),thesamplingdistributionofxisexactlynormalifthesampledpopulationisnormal,和willbeapproximatelynormalifthesampledpopulationisalsoapproximatelynormallydistributed.Thepointestimateofpopulation標(biāo)準(zhǔn)偏差usingSequationmay提供apoorestimationifthesamplesizeissmall.IntroductiontoStudenttDistrbutionDiscoveredin1908byW.S.GossetfromGuinnessBreweryinIreland.Tocompensatefor標(biāo)準(zhǔn)偏差dependenceonsmallsamplesize.Containtworandomquantities(x和S),whereasnormaldistributioncontainsonlyonerandomquantity(xonly)Assamplesizeincreases,thetdistributionwillbecomeclosertothatofstandardnormaldistribution(orzdistribution).P亭e洽r先c改e則n弓t跡i褲l永e里s塔o碗f鄭t職h準(zhǔn)e蟲t慶D仆i辰s可t狐r爽i裳b獲u醉t都i府o選nW區(qū)h返e絹r法e泳b利y憶,d疏f脖=振D培e系g晨r纏e索e園o察f艦f療r經(jīng)e著e顯d廟o駕m=盛n信(祥s毯a螺m期p也l箭e戴s屑i告z肚e昨)凍–克1S眨h筒a獻(xiàn)d惕e淘d桂a遇r姑e狼a芝=軌o樂n撓e嚇-廟t姻a濱i潑l秒e鼠d泊p解r咸o醒b秘a礙b出i悅l餐i斥t拔y肅o寧f昌o敢c釀c武u殲r忌e劍n敏c碑ea=日1蓮–學(xué)S貫h角a避d沉e肢d迫a貫r折e門aA遠(yuǎn)p碧p傲l珠i據(jù)c醉a原b芝l鈔e必w完h月e亡n薯:S光a爺m養(yǎng)p刻l某e夠s視i您z疏e負(fù)<霧3坡0標(biāo)西準(zhǔn)雹偏喘差i做s哪u語n嘗k密n吉o謙w荷nP子o垂p艙u曉l虜a冷t獵i裁o露n接d映i果s喪t罷r叛i得b床u災(zāi)t間i喂o鴨n串i礎(chǔ)s飯a頭t頂l原e急a搜s朗t粱a肝p懲p明r堂o幼x遭i輸m炎a慨t臺e銷l鉆y捷n受o學(xué)r嚇m桌a感l(wèi)樹l晨y叮d氣i放s變t趨r揉i虜b修u互t探e拋dt(a,u)aAreaunderthecurveP雁e螺r稈c及e移n鋤t子i遲l守e燙s窄o皺f高t嶄h販e鏈N趴o永r蠶m瘡a歪l坡D幼i新s滴t買r揪i吐b脫u飽t錄i余o陪n勁/弊Z租D嬸i搖s渠t士r惰i飼b貧u瓦t梨i撥o臥nZaAreaunderthecurveW坦h刮e及r鉛e滾b對y薄,S顫h譜a緊d判e緣瑞d直a丸r隱e港a而=晃o銅n員e昆-宋t槐a足i摸l琴e樣d胡p童r洪o煎b昂a做b旗i題l瓣i若t惡y陸o株f傲o逐c肆c偷u叨r延e況n腥c昌ea=錫1灣–破S漿h申a丈d虹e由d河a隊r汪e文aS板t嚷u耳d土e談n錢t勤t盆D心i街s套t迎r場b敗u單t判i功o掩n攀e掀x稅a橫m算p摔l避eF膚D左A技r叉e損q虎u倒i奴r銹e胖s咳p至h運a證r棗m地a也c吩e許u政t酬i灑c兩a炒l史c良o(jì)蹦m兇p哈a舞n蒼i技e界s耕t接o燥p鞋e瓦r墓f胡o航r渴m秤e汗x屯t繩e柴n額s塌i裂v妨e游t唱e拋s鋼t摸s灣o銹n旗a冶l咐l捐n胳e鑼w忘d卵r容u羞g賄s些b名e擦f魚o竟r策e互t酷h烏e例y拖c梳a云n農(nóng)b菌e倦m兔a皇r伸k舊e湖t喬e光d句t恭o句t為h弄e豬p濱u彈b立l橫i販c須.倚T頂h甚e融f沫i相r膏s棚t型p倚h桃a松s受e漆o你f腥t煮e淺s振t援i陽n互g躲w毯i競l續(xù)l魯b軍e吸o秘n抗a混n悅i接m軋a改l賽s總,鼓w俯h源i和l懸e蟻t蹲h隱e剝s妥e覽c么o鞠n檢d受p破h綱a索s駛e癥w英i剖l膠l淹b疲e舒o刻n愧h預(yù)u梅m樓a靠n鞋o噸n屋a撞l睡i饞m招i怖t筋e錦d他b絨a售s列i脂s差.凱P古W爬D鑰i零s妖a階p走h(yuǎn)糟a乓r豬m錦a申c傳e央u贈t炕i脈c幻玉a粘l吸c奏o袋m響p住a鄉(xiāng)豐n御y某c眉u布r藝r律e迅n歇t貴l缺y坦i征n仔t瓶h勿e構(gòu)s蝴e符c冬o括n莖d宴p蛙h糾a乓s扯e東o催f質(zhì)t魄e肯s數(shù)t芬i編n哪g惜o窄n榜a而n芬e勒w紀(jì)a繼n映t涌i不b話i房誠o菊t鵝i趴c才p貧r傍o控j份e兼c幫t暮.剩T線h妨e俗c說h伶e隸m年i盯s伙t尿s陪a幣r桃e督i寇n過t激e撥r柿e厭s掌t悟e陽d蠶t藥o軟k饒n油o向w抱t汁h(huán)芳e土e擁f喇f肺e眼c百t貢o否f愚t交h亂e享n成e奏w視a急n去t絨i次b頂i贊o棚t女i揪c尼o豪n令t嘉h嫌e渠h帥u愧m階a挪n片b佛l東o刮o弦d緩p皮r殼e兵s借s沫u喂r練e井,和t森h(huán)杜e陪y殊a叉r究e庫o合n籠l諷y板a條l監(jiān)l下o頃w由e粱d甲t塵o雙t鑄e球s遣t暑o友n攏6青p澆a強t把i批e午n它t私s姥.啊T革h區(qū)e拾r衫e恢s幕u詞l蓄t您o梅f誓t勤h備e舍i芬n摸c鴿r繡e淹a穴s賢e蛾i素n虛b衡l淘o者o種d辨p遲r眾e礦s巷s獸u皺r跳e席o船f差t縮慧h乳e習(xí)6北t茅e炕s枯t貞e皆d躁p咐a紋t姐i狠e帶n財t載s研a粒r挎e雅a覺s賭b罩e錄l逆o埋w泥:(息1劃.校7肢,淘3零.到0跨,娛0睡.者8籮,瀉3彼.寒4辜,犯2奪.窄7失,俯2跌.控1肆)C袖o梳n禽s荒t減r虛u呼c魚t詳a卷9獅5擊%塊c柳o野n撇f奔i中d墊e殺n鏟c富e烤i傳n蹄t榮e蹲r爆v籌a苗l忙f躍o咳r糖t帽h巾e旁a月v衛(wèi)e鞋r缺a驕g猾e埋i灰n煩c交r材e掠a掉s每e每i義n份b淺l腔o風(fēng)o冤d界p棄r距e凱s律s們u攻r蜓e晉f助o涂r襲p肝a訴t刃i復(fù)e柔n竹t子s舊t夫a披k飲i綢n紙g纖t卡h