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BIOL 2060 Study Guide - Midterm Guide: Barograph, Ordinal Data

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pinkalligator675
16 Oct 2018
School
York University
Department
Biology
Course
BIOL 2060
Professor
Joel Shores

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Document Summary

Decidethe ofonitstobesampledlcautais n usingarandom generatorgeneraten integersbetweenoneanathetotal orunitsininepopulation sampleunitsthatarematchedbythe generator. Largersampleaowersampkerror higherprecision canbecontinuosdatacantakeonanyreal wlinsomerangeexbodytemp causediscretedatacomesininvisibleunits. eeorcigssmokedonaspecific dayisdiscrekbutrateofcigconsumplioniscontinuous ideallyoorestionaleisaccurateunbiasedmeaningthattheaverage thatwemightobtainiscealeredontaetruepopulationvalue. Precisionsaccuracyvery importantneedbothtogether particularvalueofmeasurement peppeauencyofaspecificmeasormentinasampais. ae therreauencypistributionshowshoworteneachuaeveafineuariabeocarsintnesample thedistribution auariabuintnewnoupopulationiscauedits probabilitydistribution ofobseruan. onsnauiagtua. Relativefrequencydistributionistneproporlionofocwrences chaptersdescribingdata aobservations stripchartiboxplotcumulativefrequencydistributions i. i. i i afrequencytableisatextdisplayoethenumberofocarencesoteachealegorgotnespreadteasosnowuariabletaemeasurementsareindividualtoindividual inanedataset. Forordinalcategoricalvariablekeepnaturalorder nonotrusebarstogether providen"inugend snowingnumericaldatahistogram anistogramusesthearear rectanguarbarsiodisplaytherrequencydistribution correlativefrequencydistribution anumericalvariable thenoneistneintervalwituenighestpeakintae frequencydistribution skewedmeansthat histogram asymmetries. Mosaicolotcanaesobeusedbotintniscaseweavariableshaveastacked barograph scattershot xaxisshowsexplanatoryvariabasiyaxisshowstae response variable. workstoshowtonomericalvalues snowingassocialianbetweenanumericaesicalegoricalvariable tnerraclimsofobserualionsinagiueneakg. org. 3iaritamelictreansistandardreviation thesampameanistneaveragemeasurementsinasample ofaeedata sample canalsowrileas5editakesumsidiuidebyn siu samplemean5 variances. mu staeuisacommonmeasureoftnespreadotadistribution. itindicatesjustnowdifferentinemeasurements typicallyarerromtnemean staeu. iscalculatedfromvariancestaeuissimplytnesguareroototinevariance. es. Ex kim. iszors sinceevendivide a i as i mean q iui bqs aotz3 a. is a lomas a a s 13 8. 5 ineboxiswniskerplot. Thewhiskersextendoutwards the tuatrakwlinislar negalineskewlskewt. ie 4cuoniymakessensewnenaeemeasurementsare ok s. zuediansinierquartiieraageuo. rs youcanoseastripchart. T anemediansimeanmeasuredifferentaspectsoftneiocation adistribution anemedianisthemiddlevalue. themeanisitscentre gravity stoeo. vs. ua staeuiseuenmoresensitivetoextremesthaninemeanis sirneprobabilityofaneuent. Tneprobabilityofaneuentistaeproporiionalimestneeventwouedocarifwerepeatedaranaoontriae oversioveragainunaertnesameconditions. rangesrromo a prcasmeansprobabieityofeueata. ex. prcrouingaus. lk laris. beerindicatororspreaaortaemainpartofaaistributontnans. deu s. smutualiyexewsiveeuents whentnedataarestronglyskeweatoonesideortneotner s. uwmaeah. vefrequencydistribution thepercentileofameasurementspecifiesaney observationsiesstnanoreoe. ae suprobabiliypistribolions toittneremainingobservationsexceedit. Displayingumaialiverrequenegoistribolions s. saadingaobabiein. es anineguaaliusofanumericaeuariablecaabeshownbygrapningtnewmaealioefreq areadditionrule twoeventsaremutuauyexceusiueirtnegbotncannotocwrattnesamen. me ir zeuentsaremotoauyexceusiuexneprcaandbs. co aprobabiliigaistributionisalistofaeemutualegexcusive outcomes arandomtriae indicates addition distribution. 3sproportionscm a incited numeratoristne aobservationsinanecategory. fi esandnistnecsprcaorb3prcasiprcbiex. prcioraos 16164643 total aobservationsinaeecaegoriescombined yousimpiyadametwoprobabilitiestogether foradie rtwoeuem saremutuauyexaos. ve. inencaimealinguencawatingtneprobabilityofoneeventortmeaner ineproponionisiikeasampiemean summary formulas samples. am mean5 efvarianasz aiiishoratsz fsrromuarian. eecoerricientorvariaiioncuyexiooiproportionp ineaiegorystdeu. Tneaeneraladdilionraee aneventnotocaringisoneminoseneprobabilityanateuentocars pronotasterra rrcaorostrrcasiorcmrrcaascwneneuentsarenotmotoo. usexclusive s. oinaepeadaaas. uacaiionraee twoeventsareindependantiemeocaranaoforedoesnotinangwayinformosaboutine probability caapiera. esmalingwiuncertainty tnattaeotaerwiaaesoocwr. ie. itnesamplingbistributionataneslimate.

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An increase in magnification allows you to see smaller and smaller aspects of a specimen. However, increasing magnification has several other potentially negative side effects. Explain what happens to the following parameters as you increase magnification.

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OVERVIEW:

As we already know probiotics are microorganisms that provide us with health benefits when they are consumed. For this study healthy adults who have no previous history of probiotic consumption, any drugs, no vitamins or supplements and no special diet will be selected. To see the effect of probiotic on the gut microbiome, fecal samples of all participants will be collected and tested for the presence of any administered combination of microorganisms and any new microbial species that may have grew in the gut due to probiotic consumption. Fecal sampling will be done before probiotic consumption starts and will also be conducted throughout certain intervals throughout the study.

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Could you go into more detail of how you would do this analysis? How would you examine the population of the microbiota, and what parameters would you use to decide whether new microbial species were present?

I would add that you could see changes in composition that don't actually mean the appearence or dissappearence of a species (OTU). Do you have a plan to account for this?

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