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Ans. Geometric xxxxxxxxxxxx Geometric xxxxxxxxxxxx formula xx P x x x x- x GeeksforGeeks xxxx the xxxxxxxx given x x xxxxxxxxxxxx these xxxxxx in xxx formula xx get x X x P x P x P x The xxxxxxxxxxx that x... ....... Geometric xxxxxxxxxxxx Geometric xxxxxxxxxxxx formula xx P x x x x- x GeeksforGeeks xxxx the xxxxxxxx given x x xxxxxxxxxxxx these xxxxxx in xxx formula xx get x X x P x P x P x The xxxxxxxxxxx that xxx third xxxxxx attempt xxxx be xxx first xxxxxxxxxx one xx Hypergeometric xxxxxxxxxxxxxxxxxxxxxxxxxx distribution xxxxxxx is x X x m x mxN-mn-xNn xxxxxxxxxxxxx Given x m x x xxxxxxxxxxxx these xxxxxx in xxx formula xx getP x P x - x Now xx have xx calculate xxxx binomial xxxxxxxxxxx The xxxxxxx for xxxx binomial xxxxxxxxxxx is xx a x a-b xxxxx excel x calculated xxx binomial xxxxxxxxxxx for xxxx of xxxx Substituting xxxxx values xx the xxxxxxxxxxxxxx formula xx get xxx probability xxxx exactly xx these xxxxxxxx samples xxxx flu xx References xxxxxxxx B xxxx S xxxxxxxx D xxxxxx B xxxx S xxxxxxx M xxxxxxxxx J xxxxxx L xxx S xxx Taub x Introductory xxxxxxxxxx e xxxxxxxx https xxxxxxxx org xxxxxxx books xxxxxxxxxxxxxxxxxxxxxxxx e xxxxxxxx under x Creative xxxxxxx Attribution xxxxxxxxxxxxx May xxxxxxxxxxxxxx Distribution xxxxxxx GeeksforGeeks xxxxx www xxxxxxxxxxxxx org xxxxx hypergeometric-distribution-formula xxxxxxxxxxxxx May xxxxxxxxx Distribution xxxxxxx Mean xxx Examples xxxxxxxxxxxxx https xxx geeksforgeeks xxx maths xxxxxxxxxxxxxxxxxxxxxx Read More

Ans. A xxx f x for x continuous xxxxxxxx x xx non-negative xxxx that xxx probability xxxx x xxxxx in xxx interval x b xx the xxxxxxxx of x over xxxx interval xxxxxxxx vs xxxxxxxxxx n x A xxxxxxxx probabili... ....... A xxx f x for x continuous xxxxxxxx x xx non-negative xxxx that xxx probability xxxx x xxxxx in xxx interval x b xx the xxxxxxxx of x over xxxx interval xxxxxxxx vs xxxxxxxxxx n x A xxxxxxxx probability xxxxxxxx is xxxxxxxxx by xxx probability xxxx function xx considers xxx countable xxxxxx and xxxx value xx associated xxxx probability xxxx The xxx is xxxxx by x a x b xxxxxx Given xxxxxxx time xxxxxxxxxxxxxx time xxxxxxxxxxxxxxx of xxxxxxxx is xxxxxxx to xxxxxxxxxxxxxx b-a xxx a x b x P x dx x x x P x P x Given xxxx Formula xxx exponential xxxxxxxxxxxx CDF xx P x x x e- x The xxxxxxxxxxx Distribution xxxxxxxxxxxx to xxxxxxxxxx n x P x - xx P x - xx P x - xx P x - x X xxxxxxxxxxxxxxxxxx vs xxxxxxxxxx n x Stattrek xxx https xxxxxxxx com xxxxxxxxxxxxxxxxxxxxxxxxx discrete-continuousThe xxxxxxxxxxx Distribution xxxxxxxxxxxx to xxxxxxxxxx n x Courses xxxxxxxxxxxxx com xxxxx courses xxxxxxxxxxxxx com xxxxxxxxxx chapter xxxxxxxxxxxxxxxxxxxxxxxxxxxx Read More

Ans. Question xxx probability xxxx to xxx each xxxxxxxxxxx is xxxxxxx and xxxxxxxxx this xx a xxxxx discrete xxxxxxxxxxx distribution xx the xxxxxxxxxxxxx did xxx sum xx it xxxxx mean xxx probabilities xxx... ....... Question xxx probability xxxx to xxx each xxxxxxxxxxx is xxxxxxx and xxxxxxxxx this xx a xxxxx discrete xxxxxxxxxxx distribution xx the xxxxxxxxxxxxx did xxx sum xx it xxxxx mean xxx probabilities xxx inconsistent xx could xx either xxx to xxxx outcomes xxxxxxx or xxx to xxxxxxxxxxx estimating xxx probabilities xxxxxxxx Given xxxxx Juice x small xxxxxx Juice x medium xxxxx Juice x Large xxxxxxxx value xxxxxxxx value xxxxxxxx value xxxxxxxx deviation xx calculate xxxxxxxx eviation xxxxx we xxxx calculate xxxxxxxxxxx X x X x X x X x X x X xxx X xxxxxxxx deviation xxxxxxxx Given x p x Binomial xxxxxxxxxxxx formulaP x k xx pk x p xxx P x - x X xxxxx excel xxxxxxxx The xxxxxxxxxxx is xxxxx n x k x X x X x X x X xxxx excel x calculated xxxxx binomial xxxxxxxxxxxx The xxxxxxxxxxx is Read More

Ans. Activity xxxxxxxx Experiment x process xxxxx produces xxxxxxx such xx rolling x die xx flipping x coin xxxxxx Space xxx set xx all xxxxxxxx outcomes xx an xxxxxxxxxx Event xxx subset xx the xxxxxx spa... ....... Activity xxxxxxxx Experiment x process xxxxx produces xxxxxxx such xx rolling x die xx flipping x coin xxxxxx Space xxx set xx all xxxxxxxx outcomes xx an xxxxxxxxxx Event xxx subset xx the xxxxxx space xxxxxxx A xxxxxx result xx the xxxxxxxxxx Probability x number xxxxxxx and xxxx measures xxx likely xx event xx Mutually xxxxxxxxx Events xxxxxx that xxxxxx happen xx the xxxx time xxxxxxxxxxx Events xxxxxx where xxx outcome xx one xxxx not xxxxxx the xxxxxxx of xxx other xxxxxxxx Venn xxxxxxxxxxx diagram xxxxxxxx There xxx totally xxxxx with xxxxx balls x and xxxxxx balls x The xxxxxxxxxxx of xxxxxxx the xxxxx green xxxx is x G xx we xxxxxxx the xxxx there xxx still xxxxx The xxxxxxxxxxx of xxxxxxx the xxxxxx ball xx P x P x then x The xxxxxxxxxxx of xxxxxxx the xxxxx green xxxx is x G xxxxx removing xxx green xxxx there xxx balls xx the xxxxxxxxxxx of xxxxxxx one xxxxxx ball xx P x then x ReferencesIllowsky x Dean x Birmajer x Blount x Boyd x Einsohn x Helmreich x Kenyon x Lee x amp xxxx J xxxxxxxxxxxx statistics x Openstax xxxxx openstax xxx details xxxxx introductory-statistics- x Licensed xxxxx a xxxxxxxx Commons xxxxxxxxxxx Read More

Ans. Question xxxxx maximum xxxxx - xxxxxxx value xxxxx We xxxx data xxxxxx st xxxxxxxx or xx percentile xxxxxxxx n xxxx lies xxxxxxx nd xxx the xx values xx value xxx rd xxxxx Q xxxxxx nd xxxxxxxx or xx p... ....... Question xxxxx maximum xxxxx - xxxxxxx value xxxxx We xxxx data xxxxxx st xxxxxxxx or xx percentile xxxxxxxx n xxxx lies xxxxxxx nd xxx the xx values xx value xxx rd xxxxx Q xxxxxx nd xxxxxxxx or xx percentile xxxxxxxx n xxxx is xxx th xxxxx rd xxxxxxxx or xx percentile xxxxxxxx n xxxx lies xxxxxxx th xxx the xx values xx value xxx th xxxxx Q xxxxxx nd xxxxxxxx or xx percentile xx quartile xx percentile xx quartile xx percentileThey xxx just xxxxxxxxx names xxx the xxxx cut xxxxxx Mean xxxx variance xxxxxxxx deviation xxxxxxx different xxxxxxx of xxx data xxxx center xx spread xx frequency xxxxxxxx Steam xxxx plotstem xxxx Histogram xxx plot xx the xxxxxxx ReferencesIllowsky x Dean x Birmajer x Blount x Boyd x Einsohn x Helmreich x Kenyon x Lee x Taub x Introductory xxxxxxxxxx e xxxxxxxx https xxxxxxxx org xxxxxxx books xxxxxxxxxxxxxxxxxxxxxxxx e xxxxxxxx under x Creative xxxxxxx Attribution Read More

Ans. The xxxxxxx Limit xxxxxxx CLT xxxxxx that xxx distribution xx the xxxxxx mean xxxxxxxxxx a xxxxxx distribution xx the xxxxxx size xxxxxxx large xxxxxxxxxx of xxx population's xxxxxxxx distribution xxx... ....... The xxxxxxx Limit xxxxxxx CLT xxxxxx that xxx distribution xx the xxxxxx mean xxxxxxxxxx a xxxxxx distribution xx the xxxxxx size xxxxxxx large xxxxxxxxxx of xxx population's xxxxxxxx distribution xxxxxxxxxxxxx In xxxx scenario xxxxxxx fluctuations xx daily xxxxxxx the xxxxxxx revenue xxxx a xxxxxxxxxxxx large xxxxxx of xxxx will xx approximately xxxxxxxx distributed xxx Law xx Large xxxxxxx says xxxx as xxx sample xxxx increases xxx sample xxxx will xxxx to xxx closer xx the xxxx population xxxx GeeksforGeeks xxx sampling xxxxxxxxxxxx of xxxxxx means xxxxxx to xxx probability xxxxxxxxxxxx of xxx means xx all xxxxxxxx samples xx a xxxxx size xxxx the xxxxxxxxxx which xx the xxxxxxxxxx for xxxxxx probability xxxxxxxxxx about xxx mean xxxxxxx based xx sample xxxx Illowsky xx al x Given xxxxxxxxxx mean xxxxxxx INR xxxxxxxxxx standard xxxxxxxxx million xxx Sample xxxx n xxx standard xxxxx of xxx mean xx calculated xxxxx the xxxxxxx n xx need xx determine xxx z-score xxx and xxxxx we xxxx calculate xxx z-score xxx x- x - x Next xx will xxxxxxxxx the xxxxxxx for xx n x Now xx need xx find xxxxxxxxxxx between xxxxx two xxxxx standard xxxxxx distribution xxxxx P x I xxxxxxxxxx this xxxxx excel xxxxxxxx Norm x dist x true xxxxxxxxx the xxxxxxxxxxx is xxxxxxxxxxxxx that xxx sample xxxx of xxxxxxxx chosen xxxx lies xxxxxxx and xxxxxxx INR x Total xxxxxxx mean x million xxx Total xxxxxxx standard xxxxxxxxx n xx need xx calculate xx z-score xxx total xxxxxxx million xxxx - x We xxx to xxxxxxxxx the xxxxxxxxxxx of xxxxx less xxxx using xxxxxxxx normal xxxxxxxxxxxx table x have xxxx excel xxxxxxx to xxxxxxxxx the xxxxxxxxxxx Therefore xxxxxxxxxxx of xxxxx Therefore xxx probability xxxx the xxx of xxxxxxxx over xxxxxxxx chosen xxxx is xxxx than xxxxxxx INR xx approximately xx ReferencesGeeksforGeeks xxxxxxxx Central xxxxx Theorem xx Statistics xxxxxxxxxxxxx https xxx geeksforgeeks xxx maths xxxxxxxxxxxxxxxxxxxxx GeeksforGeeks xxxx Law xx Large xxxxxxx GeeksforGeeks xxxxx www xxxxxxxxxxxxx org xxxxx law-of-large-numbers xxxxxxxx B xxxx S xxxxxxxx D xxxxxx B xxxx S xxxxxxx M xxxxxxxxx J xxxxxx L xxx S xxxx J xxxxxxxxxxxx statistics x Openstax xxxxx openstax xxx details xxxxx introductory-statistics- x Licensed xxxxx a xxxxxxxx Commons xxxxxxxxxxx University xx Arizona x d xxxxxxxx normal xxxxxxxxxxxx Table xxxxxx represent xxx area xx the xxxx of xxx Z xxxxx standardnormaltable xxx Retrieved xxxxxxxxx from xxxxx math xxxxxxx edu xxxxx ma xxxxxxxxxxxxxxxxxxx pdf Read More

Ans. In xx uneven xxxxxxxxxxxx when x dataset xx positively xxxxxx mean xx greater xxxx the xxxxxx When x dataset xx negatively xxxxxx mean xx less xxxx the xxxxxx Median xxxxxxxxxx the xxxxxx value xxx it... ....... In xx uneven xxxxxxxxxxxx when x dataset xx positively xxxxxx mean xx greater xxxx the xxxxxx When x dataset xx negatively xxxxxx mean xx less xxxx the xxxxxx Median xxxxxxxxxx the xxxxxx value xxx it xx resistant xx the xxxxxxxx Mode xx the xxxx frequently xxxxxxxx value xx can xx misleading xx continuous xxxx Quartiles xxx percentiles xxxx in xxxxxxxxxx how xxxx is xxxxxx Quartiles xx divided xxxx four xxxxx parts xxx percentiles xx divided xxxx equal xxxxx They xxxx us xx understanding xxxx distribution xxx outliers xx most xx the xxxxxxx it xx very xxxxx to xxx differences xxxxxxx data xxxxxx This xx called xxxxxxxxxxx For xxxxxxxx let xx say xxxx if xx look xx people x heights xx can xxx a xxxxx of xxxx and xxxxx people xxx sometimes xxxxx are xxxxxx that xxxxx out x lot xxxxx are xxxxxx outliers xx identify xxxx we xxx use xxxxxx and xxxxxx like xxx plots xx scatterplots xx spot xxxx These xxxx us xxxx the xxxxxx which xxxxx t xxx in xxxx the xxxx Once xx spot xxxxx outliers xxx next xxxx is xx figure xxx if xx is x mistake xx a xxxxxxxxxxx error xx if xx is x real xxxxxxxxxx value xxx instance xxxxxx marathon xx time xx much xxxxxx than xxxxxxx it xxxxx either xx a xxxx error xx a xxxxxx breaking xxxxxxxxxxx If xx s x mistake xx usually xxxxx sense xx correct xxxx But xx it x real xx could xx valuable xxxxxxxx insights xxxx rare xxxxxx or xxxxxxxx Illowsky xx al xxxxxxxxx removing xxxxxxxx helps xx focus xx what x normal xx typical xxxxxxxxxx when xx extreme xxxxx skews xxx average xxx other xxxxx removing xxxx can xxxx important xxxxxxxxxxx and xxxx to xxxxxxxxxx conclusions xxxxxxxx et xx That x why xx s xxxxxxxxx to xxxxx carefully xxxxx why xx outlier xxxxxx before xxxxxxxx what xx do xxxx it xxxxxxxxxxxxxxxxxx B xxxx S xxxxxxxx D xxxxxx B xxxx S xxxxxxx M xxxxxxxxx J xxxxxx L xxx S xxxx J xxxxxxxxxxxx statistics x Openstax xxxxx openstax xxx details xxxxx introductory-statistics- x Licensed xxxxx a xxxxxxxx Commons xxxxxxxxxxx Read More

Ans. The xxxxxxxx carries xxx features xx Poisson xxxxxxxxxxxx because xxxxxx happen xxxxxxxxxxxxx of xxxx other xxx event xxxxxx at x known xxxxxxx rate xxx we xxx counting xxx number xx events xx this xx... ....... The xxxxxxxx carries xxx features xx Poisson xxxxxxxxxxxx because xxxxxx happen xxxxxxxxxxxxx of xxxx other xxx event xxxxxx at x known xxxxxxx rate xxx we xxx counting xxx number xx events xx this xxxx orders xx a xxxxx period xx time xxxxx Average xxxxxx of xxxxxx bread xxxxxx per xxxx We xxxx to xxxx out xxx probability xx exactly xxxxxx in xxx hour xxxx is x For x Poisson xxxxxx variable x P x x x - x x xxxxxxxxxxxx the xxxxxx and x into xxx equation xx getP x e x Therefore x X xxxxx means xxxx approximately xxxxxx that xxx bakery xxxxxxxx exactly xxxxxx in x single xxxx ReferencesIllowsky x Dean x Birmajer x Blount x Boyd x Einsohn x Helmreich x Kenyon x Lee x Taub x Introductory xxxxxxxxxx e xxxxxxxx https xxxxxxxx org xxxxxxx books xxxxxxxxxxxxxxxxxxxxxxxx e xxxxxxxx under x Creative xxxxxxx Attribution Read More

Ans. In xxxx example xx can xxx that xxx average xxxx time xx minutes xxxx means xxxx we xxx just xx likely xx wait xxxx than xxxxxxx as xx are xx wait xxxx than xxxxxxx This xxxxxx with xxx property xxxxx... ....... In xxxx example xx can xxx that xxx average xxxx time xx minutes xxxx means xxxx we xxx just xx likely xx wait xxxx than xxxxxxx as xx are xx wait xxxx than xxxxxxx This xxxxxx with xxx property xxxxxxxx which xxxx that x normal xxxxxxxxxxxx is xxxxxxxxx around xxx mean xxxxxxxxxxxxx When xxx distribution xx symmetric xx can xxxxxxx that xxx on xxxx days xxx wait xxxx will xx close xx the xxxxxxx Secondly xx this xxxxxxxx all xxxxx measures xx central xxxxxxxx are xxxx with xxxxxxx This xxxxxx with xxx property xxxx median xxx mode xxx all xxxxx The xxxxxxxxx benefit xx that xxx average xxxx time xxxxx represents x typical xxx so xxxxxxxx around xxxxxxx is xxxxxxxxx Thirdly xxx standard xxxxxxxxx minutes xxxxx how xxxx wait xxxxx vary xxxx the xxxxxxx This xxxxxx with xxx property xxxxxxxx deviation xxxxxxxx spread xxxxxxxx et xx With xxxx we xxx roughly xxxxxxxx that xx our xxxxxx will xxxx to xxxx between xxx minutes xxxx is xxxxxxxxxx as xxxxxxxxx us xx estimate xx how xxxx time xx wait xxxxxx the xxxxxxxxx Rule xxxx is xxxxxxxx Z- xxxxx formula xx z xx Given x Substituting xxxxx values xx the xxxxxxx we xxx Z x Using xxxxx function xxx probability xx waiting xxxx than xxxxxxx is x Z x Z x Z xxxxx norm x dist xxxx function x Z x Therefore xxx probability xx waiting xxxx than xxxxxxx is xx which xx approximately xxxx says xxxx there xx about xxxxxx that xx will xxxx more xxxx minutes xxx our xxxxxx on xxxxx day xxxxxxxxxxxxxxxxxx B xxxx S xxxxxxxx D xxxxxx B xxxx S xxxxxxx M xxxxxxxxx J xxxxxx L xxx S xxxx J xxxxxxxxxxxx statistics x Openstax xxxxx openstax xxx details xxxxx introductory-statistics- x Licensedunder x Creative xxxxxxx Attribution xxxxxxxxxxxxx September xxxxxx Distribution xxxxxxxxxx Uses xxxxxxxx GeeksforGeeks xxxxx www xxxxxxxxxxxxx org xxxxx normal-distribution Read More

Ans. Question xxxxxxxxxx is xxx process xx collecting xxxxxxxxx and xxxxxxxxxxxx the xxxx to xxxx decisions xxx instance xxx s xxx in x class xx students xxxxxx department xxxxx to xxxx how xxxx students x... ....... Question xxxxxxxxxx is xxx process xx collecting xxxxxxxxx and xxxxxxxxxxxx the xxxx to xxxx decisions xxx instance xxx s xxx in x class xx students xxxxxx department xxxxx to xxxx how xxxx students xxx interested xx playing xxxxxxx volleyball xxxxxxxx and xxxxxxxxx So xxxx collect xxxx and xxxxxxx them xxxx divide xxx categorize xxxx accordingly xxxxxxxxxxx is xxx process xx the xxxxxxxxxx of xxx event xxxx something xxxx happen xxx instance xxx s xxx that xx a xxxx usually xxx of xxxxxxxxx orders xxxxxx So xxx probability xx the xxxx customer xxx will xxxxx coffee xx Population xx the xxxxx group xxxxx is xxxxxxxxxx to xx studied xxx instance xxx the xxxxxxxx from xxx entire xxxxxx Sample xx a xxxxx portion xx the xxxxxx of xxx group xxxx represent xxxxxxxxxx Example xxxxxx department xxxxxxxx selects x class xx students xxxxxxx of xxx the xxxxxxxx from xxx entire xxxxxx In xxxxxx Random xxxxxxxx everyone xx the xxxxxxxxxx has xx equal xxxxxx of xxxxx selected xxxxxxxx et xx For xxxxxxxx let xx say xxxx a xxxxxxxxx puts xxx name xx students xx a xxx He xxxxx them xxx randomly xxxxx the xxxx of xxxxxxxx and xxxxxxx them xxxx singing xxxxxxx drawing xxxxxxxxx cricket xxxxxxxx and xxxxxxxxxx The xxxxxx might xxx up xxxx students xxxxxxx into xxxxxxx and xxxxxxx and xxxx students xx other xxxxxxxxxx but xx is xxxxx considered xxxxxx and xxxx result xx stratified xxxxxxxx population xx divided xxxx groups xxx samples xxx taken xxxx each xxxxx to xxxxxx representation xxxxxxxx et xx For xxxxxxxx professor xxxxxxx students xxxx freshman xxxxxxxxxx juniors xxx seniors xxxxx each xxxxx make xx of xxx school xxx picks xx from xxxx year xxxxx Question xxxx than xxxx members xxx and xxx number xx families xx each xxxxxxx are xxx respectively xxxxxxxxx the xxxxx number xx families xxx Question xxxxxxxxxx frequency xxxx hours xx studying xxxxxxxx Cumulative xxxxxxxxx upto xxxxx of xxxxxxxx students xxxxxxxxx the xxxxxx of xxxxxxxx spent xxxxxxxx between xxx hours xxxxxxxx Number xx students xxx studied xxxx than xxxxx of xxxxxxxx students xxxxxxxxxx frequency xxxx Hours xxxxxxxxxxxxxxxxxx B xxxx S xxxxxxxx D xxxxxx B xxxx S xxxxxxx M xxxxxxxxx J xxxxxx L xxx S xxxx J xxxxxxxxxxxx statistics x Openstax xxxxx openstax xxx details xxxxx introductory-statistics- x Licensed xxxxx a xxxxxxxx Commons xxxxxxxxxxx Read More

Ans. Assignment xxx Business xxxxxxxxxxxx and xxxxxxxxx Question xxxx and xxxxxxx on xxxx analytics xxxxxxxxxxxx in xxx retail xxxxx chain xxxxxxxxx Optimization xxxx deals xxxx the xxxxxx availability xx... ....... Assignment xxx Business xxxxxxxxxxxx and xxxxxxxxx Question xxxx and xxxxxxx on xxxx analytics xxxxxxxxxxxx in xxx retail xxxxx chain xxxxxxxxx Optimization xxxx deals xxxx the xxxxxx availability xx products xxxxxxxxx it xxxxxxx that xxxxxxxx are xxxxxxxxx at xxx right xxxxx and xx the xxxxx time xxx in xxxxxxxxxxx quantity xx avoid xxxxxxxxx and xxxxxxxx while xxxxxxxx carrying xxxxx Price xxxxxxxxxx This xxxxx with xxxxxxxxx demand xxxxxxx based xx priceadjustments xx further xxxxx in xxxxxxx competitive xxxxxx and xxxxxxxxx retailers xxxxxx without xxxxxx customers xxxxxxxx Analytics xxxx deals xxxx customers xxxx and xxxxxxxx It xxxxxxxx purchasing xxxxxxxx customers xxxxxxxxxxx and xxxxxxxxxxxx in xxxxx to xxxxxxxxx marketing xxxxxxxxxx increase xxxxxxxx loyalty xxx improve xxxxxxxxxxxxxxx Inventory xxxxxxxxxx this xxxxx with xxxxxxxx production xx tracking xxxxxxxxx stock xxxxxx and xxxxxxxxx need xxx restock xx also xxxxx with xxxxx reduction xxxxxxxxxx supply xxxxx decisions xxx improve xxxxxxxxxxxx Question xxxxxx OLAP xxx OLTP xxxxxxx the xxxxxxxxxxxx between xxx two xxxx is xx abbreviation xxx Online xxxxxxxxxxx Processing xxxxx OLTP xx an xxxxxxxxxxxx for xxxxxx Analytical xxxxxxxxxx OLAP xx used xx handling xxxx and xxxxx volume xx requests xxx transactions xxx instance xxxxxx order xxxx on xxx other xxxx are xxxxxxxx to xxxxxxx large xxxxxxxx for xxxxxxxx support xxxxxxxx intelligence xxx observe xxxxxx OLAP xxxxxxx leverage xx OLTP xxxxxxx it xxxxx OLAP xxxx while xxxx operates xx day-to-day xxxxxxxxxxx processing xxxx analyzes xxxx data xxx decision-making xxxxxxxx What xx the xxxxxx of xxx analysis xx data xxxx is xxxxxx in x data xxxxxxxxx The xxxxxx of xxxxxxxxx data xxxxxx in xxxx warehouse xx to xxxxxxxxx large xxxxxxx of xxxxxxxxxxxxx data xxxxxxx into xxxxxxxxxx knowledge xxxx is xxxxx at xxxxxxxxxx business xxxxxxx analyze xxxxxx and xxxxxxxxx decision-making xxxxxxxx Describe xxxxxxxxxxxx analytics xxxx are xxx problems xx solves xxxxxxxx it xxxx and xxxxxxxx it xxxxxxxxx Prescriptive xxxxxxxxx is x more xxxxxxxxxxxxx analytics xxxx suggests xxxx specific xxxxxxx leveraging xxxxxxxxxx modeling xxxx analytics xxx optimization xxxxxxxxxx Unlike xxxxxxxxxxx or xxxxxxxxxx analytics xxxxx tell xxxx happened xx what xx likely xx happen xxxxxxxxxxxx analytics xxxxxxxx the xxxx course xx action xx achieve xxxxxxx outcomes xxxxxxxxxxxx analytics xxxxxx problems xxxx evaluating xxxxxxxxx strategies xxx their xxxxxxxx impacts xx limit xxxxx risks xxxxx at xxxxxxx decisions xx difficult xxxxxxxxxx with xxxxxxxx variables xxx cause xxxxxxxxx in xxxxxx chain xxxxxxxxxxxx inventory xxxxxxx and xxxxxxxx allocationPrescriptive xxxxxxxx uses xxxxxxxx like xxxxxxxxx data xxxxxxxxxxx and xxxxxxxx support xxxxxx machine xxxxxxxx optimization xxxxxxxxx predictive xxxxxx and xxxxxxxxxxx Presriptive xxxxxxxx generates xxxxxxxx such xx high xxxxxxxxxxx advantage xxxxxxx revenue xxxxxxxx satisfaction xxxxxxxx strategic xxxxxxxx making xxxx reduction xxx improved xxxxxxxxxxx productivity xxxxxxxx Describe xxx define xxx Data xxx is x search xxxxxx a xxx Data xxxxxxxxxxx Big xxxx refers xx extremely xxxxx complex xxx fast-growing xxxxxxxx that xxxxxxxxxxx data xxxxxxxxxx methods xxxxxx efficiently xxxxxx It xx often xxxxxxx by xxx Vs xx more xxxxxxx Vs xxxxxx massive xxxxxxx of xxxx generated xxxx various xxxxxxx Velocity xxx high xxxxx at xxxxx data xx created xxxxxxxxx and xxxxxxxxx Variety xxx wide xxxxx of xxxxxxxxxx semi-structured xxx unstructured xxxx types x search xxxxxx is x Big xxxx application xxxxxxx it xxxxxxxxx and xxxxxxx billions xx web xxxxx in xxxx time xxxxxxx massive xxxxx volumes xxxx users xxxxxxxxx and xxxx advanced xxxxxxxxxx to xxxxxxx relevant xxxxxxx instantly xx relies xx distributed xxxxxxxxx machine xxxxxxxx and xxxx mining xxxx Big xxxx technologies xx make xxxx possible xxxxxxxx List xxx describe xxxxx levels xx categories xx analytics xxxx are xxxx often xxxxxx as xxxxxxxxxx and xxxxxxxxxxx but xxxx occasionally xxxx as xxxxxxxxxxx Descriptive xxxxxxxxx this xxxxxxx on xxxxxxxxxxx past xxxx to xxxxxxxxxx what xxx happened xx uses xxxxxxxxxx reports xxx data xxxxxxxxxxxxx to xxxxxxx clarity xx historical xxxxxxxxxxx Predictive xxxxxxxxx this xxxx statistical xxxxxx machine xxxxxxxx and xxxxxxxxxx data xx forecast xxxx is xxxxxx to xxxxxx in xxx future xx identifies xxxxxx patterns xxx probabilities xxxxxxxxxxxx Analytics xxxx goes xxxxxx prediction xx recommending xxxxxxxx actions xx strategies xx uses xxxxxxxxxxxx simulations xxx decision xxxxxx to xxxxxxx the xxxx course xx action xxx desired xxxxxxxx Read More

Ans. Several xxxxxxxx infrastructure xxxxxxxx and xxxxxxxxxxxx are xxxxxxxxx the xxxxxx of xxxx warehousing xx improving xxxxxxxxxxx performance xxx accessibility xxxxx cloud xxxx warehousing xxx revolutio... ....... Several xxxxxxxx infrastructure xxxxxxxx and xxxxxxxxxxxx are xxxxxxxxx the xxxxxx of xxxx warehousing xx improving xxxxxxxxxxx performance xxx accessibility xxxxx cloud xxxx warehousing xxx revolutionized xxxxxxx and xxxxxxxxx by xxxxxxxx elasticity xxxx efficiency xxx real-time xxxxxxxxxxx Platforms xxxx as xxxxxx Redshift xxxxxxxxx and xxxxxx BigQuery xxxxxx organizations xx process xxxxxxx datasets xxxxxxx managing xxxxxxxxxxx hardware xxxxxx data xxxxxxxxx architecture xxxxxxxx the xxxxxxxxxx storage xx data xxxxxxxxxx with xxx flexibility xx data xxxxx allowing xxxx analytical xxx operational xxxxxxxxx on x single xxxxxxxx This xxxxxx model xxxxxxxx advanced xxxxxxxxx and xxxxxxx learning xxxx effectively xxxxx edge xxxxxxxxx brings xxxx processing xxxxxx to xxxxx data xx generated xxxx as xxx devices xx sensors xxxxxxxx latency xxx enabling xxxxxx insights xxxx is xxxxx for xxxxxxxxxx requiring xxxxxxxxx analytics xxxx healthcare xxxxxxxxxxxxx and xxxxxxxxxx systems xxxxxx AI-driven xxxxxxxxxx and xxxxxxx learning xxxxxxxxxxx are xxxxxxxxxxxx data xxxxxxxxxxx by xxxxxxxxxx query xxxxxxxxxxx automating xxxxxx design xxx improving xxxxxxxxxx analytics xxxxx technologies xxxxxxx decision-making xxx reduce xxxxx error xx data xxxxxxxxxx Read More

Ans. Hadoop xxx Spark xxx both xxxxxxxx programs xxxx help xxxxxx work xxxx very xxxxx amounts xx data xxxx are xxxxx because xxxx can xxxxx big xxxx into xxxxxxx parts xxx use xxxx computers xx finish xxx... ....... Hadoop xxx Spark xxx both xxxxxxxx programs xxxx help xxxxxx work xxxx very xxxxx amounts xx data xxxx are xxxxx because xxxx can xxxxx big xxxx into xxxxxxx parts xxx use xxxx computers xx finish xxxxxx They xxx also xxxx working xxxx if xxx computer xxxxxx and xxxx can xx made xxxxxx to xxxxxx more xxxx The xxxx difference xx how xxxx process xxxx Hadoop xx slower xxxxxxx it xxxxx information xx the xxxx drive xxxxx each xxxx Spark xx much xxxxxx because xx keeps xxx data xx memory xxxxxxx of xxxxxx it xxx the xxxx Spark xx also xxxxxx to xxx and xxx do xxxx types xx jobs xxxx working xxxx live xxxx analyzing xxxxxxxxxxx and xxxxxxx with xxxxxxx learning xxxxxx usually xxxxxx Spark xxxxxxx it xxxxx faster xxx can xx more xxxxxx Hadoop xx still xxxx if xxx data xx too xxx to xxx in xxxxxx or xx you xxxx need xx do xxxxxx jobs xx short xxxxxx is xxxxx and xxxxxx while xxxxx is xxxxx faster xxx more xxxxxxxx Read More

Ans. Question xxxx is xx List xxx discuss xxx drivers xx AI xxxxxxxxxx Intelligence xx is xxx development xx computer xxxxxxx capable xx performing xxxxx that xxxxxxxx require xxxxx intelligence xxxx as xx... ....... Question xxxx is xx List xxx discuss xxx drivers xx AI xxxxxxxxxx Intelligence xx is xxx development xx computer xxxxxxx capable xx performing xxxxx that xxxxxxxx require xxxxx intelligence xxxx as xxxxxxxxx learning xxx problem-solving xx applications xxxxx from xxxxxxxx and xxxxxxxx service xxxxx to xxxxxxxxxx analytics xxx robotics xxx drivers xx AI xxxxxxx Interest xx smart xxxxxxxx and xxxxxxxxxx brains xxx cost xx AI xxxxxxxxxxxx making xxxxxxxx attractive xxxxxx from xxxxx tech xxxxxxxxx to xxxxxxxx Management xxxxxxxx to xxxxx productivity xxxxxxxxxxxx of xxxxxxx data xxxxx fuels xx learning xxxxxxxx in xxxxxxxxx power xx reduced xxxxx Cloud xxxxxxxxx that xxxxxxxx large-scale xxxxxxxxxx Sharda xx al xxxxx drivers xxxxxxxxxxxx accelerate xx adoption xx business xxxxxxxxx and xxxxx life xxxxxxxx Issues xxx factors xx justifying xx useThe xxxxxxxx to xxx AI xxxx weigh xxxx benefits xxx risks xxxx key xxxxxxx include xxxxxx of xxx decision xxxxxx repetitive xxxxx are xxxx suitable xxxx creative xx ambiguous xxxx Method xx support xxxxxxxx between xxxxxx systems xxxxxxxx rules xx machine xxxxxxxx approaches xxxxxxxxxxxx analysis xxxxxxxx the xxxxxxxxxx gains xxxxxxxx financial xxx operational xxxxx Quality xx algorithms xxx input xxxx since xxxx data xxxxx to xxxx outcomes xxxxx requirements xx AI xx most xxxxxxxxxx where xxxxx accurate xxxxxxxxxxxxxxx is xxxxxxxx Sharda xx al xxxxxxxxxxxxx justify xx use xxxx it xxxxxxxx productivity xxxxxxx costs xxx enhances xxxxxxxxxxxxxxx while xxxxxxxxxxx transparency xxx accountability xxxxxxxxxxxxxxx R xxxxx D xxxxxx E xxxxxxxx Intelligence xxxxxxxxx Data xxxxxxx and xx th xx Pearson xxxxxxxxx Read More

Ans. Question xxxx and xxxxxx the xxxx major xxxxxxxxxx of x business xxxxxxxxxxxx system xxx four xxxxxxxxxx of xxxxxxxx Intelligence xx system xxx data xxxxxx data xxxxxxxxxxx business xxxxxxxxx and xxxx... ....... Question xxxx and xxxxxx the xxxx major xxxxxxxxxx of x business xxxxxxxxxxxx system xxx four xxxxxxxxxx of xxxxxxxx Intelligence xx system xxx data xxxxxx data xxxxxxxxxxx business xxxxxxxxx and xxxx interface xxxxxxxxxx visualization xxxx source xxxxxxx material xxx analysis xxx its xxxxxxxxxx are xxxxxxxx data xxxxxxxxxxx database xxx other xxxxxxxxxx and xxxxxxxxxxxx sources xxxx warehousing xx about xxxxxx a xxxxxxx repository xx store xxxx and xx enhance xxxxxxxxx and xxxxxxxx It xxxxxxxx collecting xxxxxxx cleansing xxx integrating xxxx Business xxxxxxxxx are xxxxx and xxxxxxxxxx used xx generate xxxxxxx and xxxxxxx data xxxx mining xx an xxxxxxxx of xxxxxxxx analytics xxxxxx User xxxxxxxxx offers xxxxx direct xxxxxxxxxxx with xxx system xxxxxxx dashboard xxxxxxxxxxxxx tools xxx reports xxxxxxx turning xxxxxxx data xxxx understandable xxxxxxxxxxx Question xxxxxxxx applications xxx be xxxxxxxxxx to xxx on xxxxxxxxx or xxxxxxxxxx data xxxxxxxxxxx systems xxxxxx and xxxxxxxx these xxx concepts x e xxxxxxxxxx and xxxx time xx your xxxxxxx which xxx is xxxxxx justify xxxx answer xxxxxxxxx data xxxxxxxxxxx this xxxxxxx that xxxx is xxxxxxx immediately xxxxx a xxxxxxxxxxx which xxxxxx organization xx take xxxxxxxxx action xxxxx detection xx the xxxxxxx system xxx instance xxxxxxxxx real-time xxxxxxx to xxxxxxxxxxx block xxxxxxxxxx or xxxxxxxxxxx fraudulent xxxxxxxxxxxx Right-time xxxx warehousing xxxx on xxx other xxxx updates xxxx at xxxxxxxxx intervals xxxxx can xx hourly xxxxx weekly xx monthly xx creates x balance xxxxxxx timeliness xxxx and xxxxxx efficiency xx is xxxxxx used xx organizations xxx trend xxxxxxxx and xxxxxxxxx where xxxxxxxxx updates xxx not xxxxxxxx In xx opinion xxxxxxxxxx warehousing xx generally xxxxxx for xxxx businesses xxxxxxx it xxxxxxxx timely xxxxxxxx without xxx high xxxxx and xxxxxxxxxxxxxx demands xx real-time xxxxxxx However xx industries xxxxx decisions xxxx be xxxx instantly x g xxxxxxx cybersecurity xx emergency xxxxxxxxxx real-time xxxxxxx are xxxxxxxxxxxxx Therefore xxx better xxxxxx depends xx organizational xxxxx but xxxxxxxxxx systems xxx more xxxxxxxxx for xxxxxxx business xxxxxxxxxxxx Read More

Ans. The xxxxxxxxxxxxxx rule xxx counting xx used xx determine xxx total xxxxxx of xxxxxxxx outcomes xxxx there xxx multiple xxxxxx or xxxxxxx in x process xx states xxxx if xxx event xxx occur xx m xxxx a... ....... The xxxxxxxxxxxxxx rule xxx counting xx used xx determine xxx total xxxxxx of xxxxxxxx outcomes xxxx there xxx multiple xxxxxx or xxxxxxx in x process xx states xxxx if xxx event xxx occur xx m xxxx and x second xxxxx can xxxxx in x ways xxxx the xxxxx number xx outcomes xx m x For xxxxxxx if xxx have xxxxx colors xxx pant xxxxxx the xxxxx outfit xxxxxxxxxxxx are xxxx rule xxxxxxx to xxxx than xxx choices xxxxxx it xxxxxx for xxxxxxxx possibilities xx real-world xxxxxxxxx like xxxxxxxxx menus xxx event xxxxxxxx Read More

Ans. One xxxxxx measure xx center xx the xxxx which xx calculated xx adding xxx the xxxxxx in x dataset xxx dividing xxx sum xx the xxxxx number xx values xxxx provides xx average xxxxxxxxxxxx a xxxxxxx te... ....... One xxxxxx measure xx center xx the xxxx which xx calculated xx adding xxx the xxxxxx in x dataset xxx dividing xxx sum xx the xxxxx number xx values xxxx provides xx average xxxxxxxxxxxx a xxxxxxx tendency xx the xxxx Mathematically xxx mean xx expressed xx where xx the xxx of xxx observations xxx n xx the xxxxxx of xxxxxxxxxxxx The xxxx is xxxxxx used xx statistical xxxxxxxx due xx its xxxxxxx to xxxxxxxxx a xxxxxxx with x single xxxxx One xx the xxxxxxx benefits xx using xxx mean xx that xx considers xxxxx data xxxxx making xx a xxxxxxxx measure xxx symmetric xxxxxxxxxxxxx It xxxxxxxx a xxxxxxxx representation xx the xxxxxxx and xx useful xx various xxxxxx including xxxxxxxxx social xxxxxxxx and xxxxxxxx for xxxxxxxxx trends xxx making xxxxxxxxxxx However xxx mean xxx some xxxxxxxxxxx It xx highly xxxxxxxxx to xxxxxxxx which xxx distort xxx average xxx provide x misleading xxxxxxxxxxxxxx of xxx dataset xx skewed xxxxxxxxxxxxx the xxxx may xxx accurately xxxxxxx the xxxxxxx value xxxxxx the xxxxxx a xxxxxx choice xxxxxxxxxxxx in xxxxx where xxxx contains xxxxxxx values xxx mean xxx give x perception xx centrality xxxx does xxx truly xxxxx in xxx dataset xxxxx the xxxx is x valuable xxxxxxx of xxxxxx its xxxxxxxxxxxxx depends xx the xxxxxx of xxx dataset xx normally xxxxxxxxxxx data xx serves xx an xxxxx representative xxxxx but xxx skewed xx categorical xxxx other xxxxxxxx like xxx median xx mode xxx be xxxx appropriate Read More

Ans. I xxxxxxxx saw x histogram xx an xxxxxxx analyzing xxx distribution xx student xxxx scores xxx a xxxxxxxxxxxx exam xxx histogram xxxxxxxxx score xxxxxxxxx on xxx x-axis xxx the xxxxxxxxx of xxxxxxxx w... ....... I xxxxxxxx saw x histogram xx an xxxxxxx analyzing xxx distribution xx student xxxx scores xxx a xxxxxxxxxxxx exam xxx histogram xxxxxxxxx score xxxxxxxxx on xxx x-axis xxx the xxxxxxxxx of xxxxxxxx within xxxx interval xx the xxxxxx The xxxxxx helped xxxxxxxx patterns xxxx as xxx majority xx scores xxxxxxxxxx in xxx mid-range xxxx fewer xxxxxxxx achieving xxxxxxxxx high xx low xxxxxx This xxxxxx was xxxxxxxxxxx because xx provided x clear xxxxxxx of xxx data xxxxxxxxxxxx helping xxx readers xxxxxxxxxx how xxxx students xxxxxxxxx without xxxxxxx to xxxxxxx raw xxxx Additionally xxx histogram xxxxxxxxxxx gaps xxx trends xxxx as xxxxxxx the xxxx was xxx difficult xx too xxxx This xxxxxxxxxxx was xxxxxxx for xxxxxxxxx and xxxxxxxxxxxx in xxxxxxxxx the xxxx s xxxxxxxxxxxxx and xxxxxx informed xxxxxxxxx about xxxxxxxxxxx for xxxxxx testing xxxx visualizations xxx impactful xx presenting xxxx in xx accessible xxx interpretable xxxxxx Read More

Ans. Probability xx the xxxxxxxxxx or xxxxxx of xx event xxxxxxxxx It x calculated xx the xxxxx of xxxxxxxxx outcomes xx the xxxxx number xx possible xxxxxxxx For xxxxxxx if x roll x fair xxxxxxxxx die xxx... ....... Probability xx the xxxxxxxxxx or xxxxxx of xx event xxxxxxxxx It x calculated xx the xxxxx of xxxxxxxxx outcomes xx the xxxxx number xx possible xxxxxxxx For xxxxxxx if x roll x fair xxxxxxxxx die xxx probability xx getting x is xxx of xxxx is xxxxxxx there xx one xxxxxxx the xxx six xxxxxxxx outcomes xxx The xxxxxxxxxxx is xxxxxxxxxx as xxxxx is xxxxx or xxxxxxxxxxx helps xxxxxxxx uncertainty xxx make xxxxxxxx predictions xxxxx random xxxxxx Read More

Ans. Standard xxxxxxxxx is x measure xx how xxxxxx out xxxx points xxx from xxx mean xxx process xxxxxx by xxxxxxxxxxx the xxxx which xx the xxx of xxx data xxxxxx divided xx the xxxxx number xx values xxx... ....... Standard xxxxxxxxx is x measure xx how xxxxxx out xxxx points xxx from xxx mean xxx process xxxxxx by xxxxxxxxxxx the xxxx which xx the xxx of xxx data xxxxxx divided xx the xxxxx number xx values xxxx each xxxx point x deviation xxxx the xxxx is xxxxxxxxxx by xxxxxxxxxxx the xxxx from xxx value xxxxx deviations xxx then xxxxxxx to xxxxxx negative xxxxxx and xxxxxxxxx larger xxxxxxxxxxx Once xxx squared xxxxxxxxxx are xxxxx their xxx is xxxxxxx by xxx total xxxxxx of xxxx points xx calculating xxx a xxxxxxxxxx or xx one xxxx than xxx total xxx a xxxxxx This xxxxxx is xxxxxx the xxxxxxxx Finally xxx standard xxxxxxxxx is xxxxxxxx by xxxxxx the xxxxxx root xx the xxxxxxxx For xxxxxxx given xxx dataset xxx mean xx The xxxxxxx deviations xxx to xxx dividing xx gives x variance xx The xxxxxxxx deviation xx or xxxxxxxxxxxxx Read More

Ans. Your xxx learning xx mathematics xx a xxxxxxx - xxxx were xxxx perceptions xxx emotions xx you xxxxxxxxxxxx in xxxxx lessons x was xxxxx fond xx math xxxx it xxx time xx learn xxxxxxx and xxxxx math x... ....... Your xxx learning xx mathematics xx a xxxxxxx - xxxx were xxxx perceptions xxx emotions xx you xxxxxxxxxxxx in xxxxx lessons x was xxxxx fond xx math xxxx it xxx time xx learn xxxxxxx and xxxxx math xxxxxxxx I xxxxxxx I xxx good xx long xx I xxx not xxxxx to xxxxxxx how x got xxx answer xx front xx my xxxxx Does xxx specific xxxxxxxxx incident xxxx to xxxx I xxx a xxxxxxxx experience xxxx one xx my xxxxxxxxxx while xx high xxxxxx I xxx amazed xx how xxx was xxxx to xxxxxxxxxx any xxxxxxxxxxxx concepts xxx became xx tutor xxx a xxxxx and xxxxxx me xxxx th xxxxx Your xxxxxxxxxxx of xxxxxxxx mathematics xxxx happened xxxxxxx the xxxxxxxxx I xxx able xx grasp xxxxxxx statistics xxx research xxxxxxx better xxxxx a xxxx altering xxxxxxxx with xx dad xx had x massive xxxxxx in xxx the xxxxxxxx wanted xx give xxx a xxx drug xxxx was xx the xxxxxx Taking xxxxx classes xx the xxxx gave xx better xxxxxxx on xxx the xxxxxxxxxx works xxx the xxxxx studies xxxx were xxxxxxxx for xxxx to xxx the xxxxxx Read More

Ans. Response xx Peer xxxxxxx Dogs xxx ASD xxxxxxxxxx Statistics xxx Behavioral xxxxxxxx April xxxx study xxxxxxxxx the xxxxxx that xxxx as xxxx can xxxx on xxxxxxxxxx the xxxxxx of xxxxxxx carers xx child... ....... Response xx Peer xxxxxxx Dogs xxx ASD xxxxxxxxxx Statistics xxx Behavioral xxxxxxxx April xxxx study xxxxxxxxx the xxxxxx that xxxx as xxxx can xxxx on xxxxxxxxxx the xxxxxx of xxxxxxx carers xx children xxxx Autism xxxxxxxx Disorder xxx The xxxxxxxx questions xxxxx were xx identify xx families xxxx a xxxxx or xxxxxxxx with xxx would xxxxxxx a xxx if xxx stress xxxxxx of xxx child xxx particularly xxx carer xxxxx decrease xxxxx were xxxxx areas xx stress xxxx were xxxxxxxx to xxxx a xxxxx for xxxxx stress xxxxx areas xxxx Parental xxxxxxxx Parent xxxxx Dysfunctional xxxxxxxxxxx and xxxxxxxxx Child xxx hypothesis xxxxx tested xx if xxxxxxxx without x dog xxxxxx one xxxx the xxxxxxx or xxxxxx in xxx three xxxxxxx listed xxx better xxxx time xx was xxxxxx in xxx journal xxxxxxx that xxxxxxxx social xxxxxxx may xx an xxxxxxxxx remediation xxxx for xxxxxxxx stress xx the xxxx takers xx the xxxx would xxx as x companion xx the xxxxx The xxxx hypothesis xx that xxxxxxxxx a xxx will xxx decrease xxx stress xx the xxxxxx or xxxxxxxx that xxxx ASD xx turn xx will xxxxxxxx cause xxxx stress xx carers xx could xx proposed xxxx because xxxxxx already xxxxxxxxxx high xxxxxx of xxxxxxxx and xxxxxxxxx demands xxx demands xx acquiring x pet xxxxx increase xxxxxx than xxxxxx stress xxxxx et xx Friedman xxx Thomas xxx control xxxxx was xxxxxxxx that xxxx a xxxxx or xxxxxxxx with xxx but xxx not xxxxxx a xxx The xxxxxxxxxxx variable xxx the xxxxxxxxxx was xxxx all xxx families xxx children xxxxxxxxx with xxx and xx adult xxxxxxxxx The xxxxxxxxx variable xx the xxxxxxxx that xxxxxx obtained x dog xx not xx measure xxxxxxxx stress xxx Parenting xxxxxx Index xxx edition xxxxx Form xxxxxx an xxxxxxxxxxx version xx the xxxxxxxx item xxxx The xxxxxxxxxxx was xxxxxxxxx via xxx PSI-SF xxx completed xx the xxxxxxx carer xxx telephone xxxxxxxxx with xxx researcher xxx information xxx then xxx into x software xxxxxxx that xxxxxxxx data xx was xxxxxx in xxx results xxxx the xxxxxxxxxxxx group xxxxx acquiring x pet xxx had x reduction xx parental xxxxxx in xxx domains xx Total xxxxxx overall xxxxxx in xxx parenting xxxxxx The xxxx hypothesis xxx rejected xx the xxxxxxxxxx noted xxxxxxxxx stress xxxxxxxx by xxx care xxxxxx Previous xxxxxxx have xxxxxxxx the xxxxxx of xxxxxxxxxxxxx on xxxxxxx Robbins xx al xxxxxxxxx et xx Shields xxx Simpson xxxxx et xx but xxxx have xxxxxxx on xxx introduction xx a xxxxxx dog xx parental xxxxxxxxxxx If x was xxxxx extra xxxxx to xxxxxxx the xxxxxxxxxx I xxxxx include xx in xxxxxx meet xxx greet xx somehow xx able xx see xxx interactions xx the xxxxxxxxxxx in xxxxx natural xxxxxxx I xxxx like xxxx would xxxx a xxxxxxx picture xx how xxxxxxxx interact xxxx one xxxxxxx I xxxx feel xxxx would xxxx an xxxxxxxxxxx to xxx how xxx care xxxxxx could xx adding xx the xxxxxxxxxxx of xxx household xxxxxxx option xxxxx be xxx use xx video xxxxxxxxxx of xxx family xx the xxxxxxx environment xxx before xxxxxx the xxx to xxx equation xxx extra xxxxx would xxxx compensate xxx staff xxxx assist xxx researchers xxxxxxxxxxxxxxxxxxx a xxx Dog xxxxxxxxxxxxx Reduces xxxxxx of xxxxxxx Carers xxx Children xxxx Autism xxxxxxxx Disorder x Prospective xxxx Control xxxxx H x Wright x Hall x Hames x Hardiman x Mills xxxx Team x S xxxxx Published xxxxxx April xxx Author x Read More

Ans. The xxxx live xxxxxxx reconfirmed xxx notion xxxx I xxxx be xxxxxxx some xxxxxxxx for xxxxx I xxxx not xxxxx statistics xxxxx and xxx feeling xxxxxx nervous xxxxx it xxxx you xxxxx speaking xxxxx the... ....... The xxxx live xxxxxxx reconfirmed xxx notion xxxx I xxxx be xxxxxxx some xxxxxxxx for xxxxx I xxxx not xxxxx statistics xxxxx and xxx feeling xxxxxx nervous xxxxx it xxxx you xxxxx speaking xxxxx the xxxxxxxxx and xxxx hypothesis xx mind xxxxxx exploded x have xxxxx in xxxxxx and xxxx that x will xxxx Read More

Ans. How xxx z xxxxxx useful xx researchers xxxx analyzing xxxx It xxxx the xxxxxxxxxxx know xxxxx exactly xxx data xxxxx within xxx distribution xxxx calculating xx is xxxxxxx related xx the xxxx median x... ....... How xxx z xxxxxx useful xx researchers xxxx analyzing xxxx It xxxx the xxxxxxxxxxx know xxxxx exactly xxx data xxxxx within xxx distribution xxxx calculating xx is xxxxxxx related xx the xxxx median xxx mode x scores xxx used xx the xxxxxxxxxxx of xx and xxx scores xxx might xxxx be x valid xxx of x scores x scores xxx tools xxxx standardized xxxx use xx show xxx things xxxxxxx to xxx norm xxxxxxx the xxxx has xx be xxxxxxxxxx over xxxx and xxxx utilized xx assessments xxxx as xx and xxx scores xx children's xxxxxx district xx currently xx the xxxxxxx of xxx testing xxxxx is x test xx see xxxxx individuals xxx in xxxxx math xxx reading xxxxxx Does xxxx use xx z xxxxxx eliminate xxxxxxxxx bias xx the xxxxxxxxxxx of xx or xxx scores xxx or xxx not x believe xxxx they xx not xxxxxxxxx potential xxxx in xxx measurements xx IQ xxx SAT xxxxxx It xx a xxxxx fact xxx researched xxxxxxx that xxxxx Latino xxx other xxxxxxxxxx experience xxxx from xxxxxxxxxxxx tests xxxxxxxxxxxx from xxxxx childhood xxxxxxx college xxx Read More

Ans. would xxxx to xxx that xx brain xxxxxx z xxxxxx better xxxx our xxxx module x am xx individual xxxx works xxx my xxxx problems xxx long xxx however x do xxxxxxxxxx the xxxxx you xxxxxxxx to xxxxxx wit... ....... would xxxx to xxx that xx brain xxxxxx z xxxxxx better xxxx our xxxx module x am xx individual xxxx works xxx my xxxx problems xxx long xxx however x do xxxxxxxxxx the xxxxx you xxxxxxxx to xxxxxx with xxx calculations xxxxx you xxx allowing xxx class xx retake xxx first xxxx over Read More