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Introduction to Probability and Statistics 131B Lecture 1

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Automatisierte Medienanalyse

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racial on 1 of the exercises in the book is terrify me this vision for a water white or that being take wonder why this pose a greater this in so there would be F mn they have OK so that however a review Chapter 6 Carter recommend doing some of exercises distributions that we use in analyzing data From samples of alone suppose that don't and X 1 through are I IDE isn't it abbreviation will use commonly independent identically distributed the normal be numerics Sigma squared Bari equal water and some might go want end of exile as what decision well we know the sounds of normalcy is normal again and you establish that what what tools we have for identifying distributions of random rebels only functions would take a momentary function over some of its but about of independent rebels of the product of a which functions what's a momentary function of XI so what's expected West Samoa Jerry function for X buyer I did 2 3 Sept Sarah what steps erode ex parte as 1 and summer and I put the wanna ran with the team that I needed you over and times as some of its allies where I'd be the products units urine X 1 time unity your next to times EU foreign accent that expected by their products but these are independents be the product of their expected values and they're all the same so I could put 1 areas NATO and number theory and things like this what by the of the sink to the end so what is assigned crime that is yielded knew she overran plus stigma squared over to be over and squared thing inside the parenthesis power and now we multiplied excellent by and when you do that the becomes the new team boss saying most square Over To our baby can I just changes so that rewrite the same thing idea but the 2 under the T spread because only caucus in the cheeseburger to Izzy various things under the the same me here there among this by again it's isn't squared actually and or else I get a cheeseburger too and must Sukova shifty square or to over and so that means that X bars oral with mean new and variants they was burned over and thanks I think a still Chapter 6 part of the sample variances his best In this case several variants by multiply by and minus 1 and abide by Sigma squared this is chi squared with and my 1 reason car OK and important additional factor but X partner squared with novels X far AS bird areas offenders auto auto a so 0 or almost in that situation there where you was now being an well rare forcing whispered and Z or we can use that bar Aziz normal means Iran's wants we have turned expire to a normal and we don't want you never nor a me new abrasive whispered party converted to normal means of track right we would abide by they should take are biased means which found was new divide by experienced wherever there is a means bus being signal over rude and this is normal with means no want his squared our so X minus new overstatement abide by rude and divided by the square root that's our you that and now it to divide by number degrees of freedom this is going to be a teacher statistic with an minus 1 degree of freedom but civil fighters this and my is 1 might on canceled also there is a segment of an hour later in the numerator there's a stigma and the denominator means they canceled and so we get X bar my new over Road and asked it is a team for ago they died Perry agreed so be typical will this in the future a lot of times we should assume were sampling from normal that the samples are independent and metabolites are sampling is using this ratio
Offene Menge
Gewichtete Summe
Gerichteter Graph
Negative Zahl
Vorzeichen <Mathematik>
Gruppe <Mathematik>
Gleitendes Mittel
Analytische Fortsetzung
Gebäude <Mathematik>
Dichte <Physik>
Sortierte Logik
Rechter Winkel
Ordnung <Mathematik>
Folge <Mathematik>
Klasse <Mathematik>
Weg <Topologie>
Fächer <Mathematik>
Endogene Variable
Delisches Problem
Affiner Raum
Stochastische Abhängigkeit
Elementare Zahlentheorie
Geometrische Reihe
Faktor <Algebra>
Eigentliche Abbildung
Abstimmung <Frequenz>
Natürliche Zahl
Euklidischer Ring
Kartesische Koordinaten
Bedingter Erwartungswert
Einheit <Mathematik>
Exakter Test
Momenterzeugende Funktion
Uniforme Struktur
Wurzel <Mathematik>
Figurierte Zahl
Lineares Funktional
Arithmetisches Mittel
Gewicht <Mathematik>
Derivation <Algebra>
Physikalische Theorie
Ausdruck <Logik>
Inverser Limes
Leistung <Physik>
Innerer Punkt


Formale Metadaten

Titel Introduction to Probability and Statistics 131B Lecture 1
Serientitel Introduction to Probability and Statistics 131B
Teil 1
Anzahl der Teile 15
Autor Cranston, Michael C.
Lizenz CC-Namensnennung - Weitergabe unter gleichen Bedingungen 3.0 Unported:
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DOI 10.5446/13213
Herausgeber University of California Irvine (UCI)
Erscheinungsjahr 2013
Sprache Englisch

Inhaltliche Metadaten

Fachgebiet Mathematik

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