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Simple Random Sampling

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The manipulation brings you do this to steps to get from here
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And rob you have a good idea what capital and they make you may not know exactly as they are desperate Sigma squared will use this so we just put this in there and you back and I think this might simplify especially if we rewrite Combine these 2 beers and mine Capitalized on there than they can cancel out so that as a 1st step this would be capital and minus over Capital and my If I come on barrier is Kaplan minds 1 over Capital lights once we get the Kaplan minus 1 minus the live plus 1 wants cancel Kaplan Notice thus canceled and so we get mirror this way Squared over and times Kaplan My slowly and over affluent Maybe 1 Warsaw evaluation squared over blue and white might as well as a recap or close areas coalesced X far square think
Far-right 0
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Hospitals Yeah XI head of a set little excise patients discharged from hospital I it for what we in January 1968 And then Arango sample 50 ask those in state and then his continuing just f f So while a meal somewhere in the book here they give the act acts are things I saw a lot of suffering break down your flight of the I thought the numbers in this I highly recommend to video runny example on the hospitals and over discharge faces generating here but several things with
This exercise uses data from that example a sample size 50 years a collected from 393 hospitals or the average number of phases discharge in January 1968 in those hospitals
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. 9 7 5 minutes right there that's in the role with 1 . 9 and the left side and the column under . 0 6 Aziz of his 1 . 9 They are now let's go back to what if here that's are 95 per cent covers there will be of Zia's Z . 9 7 5
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But the Always alike available for new For me off But At Why severe world for seed Tommy so much bigger than they all for others more variability in 2 years I knew we divided by 30 T 50 would modify new by capital and so whatever variation area was in the estimate for New gets passed by buying and OK so here's a here's an announcement we to racial there's only narrowly 17 minutes left while 22 minutes left till the end the class don't think I can explain racial stew and try to itself as I'm sure some you're disappointed with But all I do is take 131 B and will so or stop year-to-date a give you little break out run over past maybe I think I run over 2 and a half minutes 8 times and use and they will resume Monday with the reviews
Tabelle
Sterbeziffer
Ablöseblase
Einflussgröße
Schätzwert
Objekt <Kategorie>
Zufallsvariable
Trennschärfe <Statistik>
Stichprobenumfang
Basisvektor
Mereologie
Randomisierung
Zahlenbereich
Inhalt <Mathematik>
Term
Einflussgröße
Schätzwert
Parametersystem
Lineares Funktional
Flächeninhalt
Stichprobenumfang
Randomisierung
Einflussgröße
Auswahlaxiom
Gleichverteilung
Schätzwert
Sterbeziffer
Stochastische Abhängigkeit
Stichprobenumfang
Standardabweichung
Algebraisches Modell
Quadratzahl
Momentenproblem
Sterbeziffer
Mereologie
Sigma-Algebra
Term
Teilbarkeit
Varianz
Schätzwert
Quadratzahl
Forcing
Rechter Winkel
Stichprobenumfang
Zahlenbereich
Sigma-Algebra
Term
Division
Auswahlaxiom
Endlicher Graph
Schätzwert
Quadratzahl
Rechter Winkel
Sigma-Algebra
Division
Trennschärfe <Statistik>
Stichprobenumfang
Gleitendes Mittel
Ganze Funktion
Sterbeziffer
Gruppe <Mathematik>
Varianz
Ausdruck <Logik>
Schätzwert
Exakter Test
Ausdruck <Logik>
Flächeninhalt
Abgeschlossene Menge
Sigma-Algebra
Feuchteleitung
Schätzwert
Subtraktion
Quadratzahl
Menge
Mereologie
Stichprobenumfang
Normalvektor
Sigma-Algebra
Gerichteter Graph
Teilbarkeit
Standardabweichung
Punkt
Zahlenbereich
Stichprobenumfang
Zahlenbereich
Aggregatzustand
Oval
Wald <Graphentheorie>
Zahlenbereich
p-Block
Rechnen
Endlicher Graph
Eins
Flächeninhalt
Forcing
Mittelwert
Stichprobenumfang
Freie Gruppe
Phasenumwandlung
Arithmetisches Mittel
Abstimmung <Frequenz>
Ungleichung
Momentenproblem
Kraft
Stichprobenumfang
Zahlenbereich
Lie-Gruppe
Stichprobenfehler
Überlagerung <Mathematik>
Standardabweichung
Punkt
Sechsecknetz
Mathematik
Tabelle
Frequenz
Stichprobenfehler
Physikalische Theorie
Dichte <Physik>
Zahlensystem
Ungleichung
Flächeninhalt
Rechter Winkel
Spieltheorie
Jensen-Maß
Normalvektor
Assoziativgesetz
Punkt
Bereichsschätzung
Flächeninhalt
Tabelle
Reihe
Extrempunkt
Endlicher Graph
Wald <Graphentheorie>
Mittelwert
Arithmetischer Ausdruck
Ähnlichkeitsgeometrie
Schätzwert
TVD-Verfahren
Variable
Flächeninhalt
Klasse <Mathematik>
Ablöseblase

Metadaten

Formale Metadaten

Titel Simple Random Sampling
Serientitel Introduction to Probability and Statistics 131A
Teil 15
Anzahl der Teile 16
Autor Cranston, Michael C.
Lizenz CC-Namensnennung - Weitergabe unter gleichen Bedingungen 3.0 Unported:
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DOI 10.5446/12885
Herausgeber University of California Irvine (UCI)
Erscheinungsjahr 2013
Sprache Englisch

Technische Metadaten

Dauer 1:09:13

Inhaltliche Metadaten

Fachgebiet Mathematik

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