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5 February 2023
22:30 | TU Wien:Objektorientierte Programmiertechniken VU (Puntigam) diffhist +102 0.0.0.0 talk (→Dauer der Zeugnisausstellung) |
15:41 | TU Wien:Vertiefung FPGA-Design VU (El-Araby) diffhist +516 Anteros talk contribs (Ergänzung zur Aktualität der Folien) |
4 February 2023
m 22:38 | TU Wien:Communication Networks 1 VO (Zseby) diffhist +154 Anteros talk contribs (→Dauer der Zeugnisausstellung) |
22:35 | TU Wien:Vertiefung FPGA-Design VU (El-Araby) diffhist +864 Anteros talk contribs (Erfahrung aus WS22) |
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13:27 | (Upload log) [Coccho (2×)] | |||
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13:27 Coccho talk contribs uploaded a new version of Datei:TU Wien-Programmieren in Python VU (Recski) - Lecture Materials.zip | ||||
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13:24 Coccho talk contribs uploaded Datei:TU Wien-Programmieren in Python VU (Recski) - Lecture Materials.zip ({{#attach:TU Wien:Programmieren in Python VU (Recski)}}) |
13:21 | TU Wien:Programmieren in Python VU (Recski) diffhist +2,279 Coccho talk contribs (→Inhalt: Added initial course information.) |
3 February 2023
N 21:56 | TU Wien:Statistik und Wahrscheinlichkeitstheorie UE (Levajkovic)/Übungen 2022W/HW08.5 diffhist +573 Simplex talk contribs (Die Seite wurde neu angelegt: „{{Beispiel| ; Confidence interval In the June 1986 issue of Consumer Reports, some data on the calorie content of beef hot dogs is given. Here are the numbers of calories in 20 different hot dog brands: <code>186, 181, 176, 149, 184, 190, 158, 139, 175, 148, 152, 111, 141, 153, 190, 157, 131, 149, 135, 132.</code> Assume that the numbers are from a normal distribution with mean <math>\mu</math> and variance <math>\sigma^2</math>, both unknown. Use <cod…“) |
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N 21:51 | TU Wien:Statistik und Wahrscheinlichkeitstheorie UE (Levajkovic)/Übungen 2022W/HW08.4 4 changes history +1,357 [Simplex (4×)] | |||
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21:39 (cur | prev) +835 Simplex talk contribs (Die Seite wurde neu angelegt: „{{Beispiel| ; One-sample confidence intervals Let <math>I = (\bar X + q_{\alpha / 2} \cdot SEM, \bar X + q_{(1 - \alpha / 2)} \cdot SEM)</math> be Student’s <math>(1 - \alpha)\cdot 100%</math>-confidence interval for the expectation, while <math>q \alpha</math> is the <math>\alpha</math>-quantile of the <math>t(n)</math>-distribution (for <math>\alpha \in (0, 1)</math>). Comment on the following statements: :i. At level <math>\alpha = 10%</math> the…“) |
N 21:26 | TU Wien:Statistik und Wahrscheinlichkeitstheorie UE (Levajkovic)/Übungen 2022W/HW08.3 diffhist +625 Simplex talk contribs (Die Seite wurde neu angelegt: „{{Beispiel| ; Effect of sample size Consider the situation of the previous exercise except that three times the number of laymen played the game (for simplicity, literally repeat each sample 3 times). Call this new data set <code>dist3x</code>. }} :(a) Perform a ''t''-test. What is your conclusion? :(b) Represent the data from <code>dist.Rdata</code> as well as <code>dist3x</code> each in a histogram, arranged below each other <code>(par(mfrow=c(2,1)))</…“) |
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21:10 | TU Wien:Statistik und Wahrscheinlichkeitstheorie UE (Levajkovic)/Übungen 2022W 2 changes history +34 [Simplex (2×)] | |||
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21:07 | (Deletion log) [Simplex (3×)] | |||
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21:07 Simplex talk contribs deleted page TU Wien:Statistik und Wahrscheinlichkeitstheorie UE (Bura)/Übungen 2019W/7.1 (Gelöscht, um Platz für die Verschiebung von „TU Wien:TU Wien:Statistik und Wahrscheinlichkeitstheorie UE (Levajkovic)/Übungen 2022W/HW08.2“ zu machen) | ||||
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21:07 Simplex talk contribs deleted page TU Wien:Statistik und Wahrscheinlichkeitstheorie UE (Levajkovic)/Übungen 2022W/HW08.2 (Spam. (einziger Bearbeiter: Simplex)) | ||||
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21:02 Simplex talk contribs deleted page TU Wien:TU Wien:Statistik und Wahrscheinlichkeitstheorie UE (Levajkovic)/Übungen 2022W/HW08.2 (Defekte Weiterleitung: Spam. (einziger Bearbeiter: Simplex)) |
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N 20:53 | TU Wien:Statistik und Wahrscheinlichkeitstheorie UE (Levajkovic)/Übungen 2022W/HW08.1 2 changes history +991 [Simplex (2×)] | |||
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20:53 (cur | prev) +388 Simplex talk contribs Tag: Visual edit: Switched | ||||
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20:43 (cur | prev) +603 Simplex talk contribs (Die Seite wurde neu angelegt: „{{Beispiel| ; One-sample t-test (without <code>R</code>) In the context of a one-sample <math>t</math>-test let <math>\bar{x} = 2.05</math>, <math>s^2=4</math>, <math>n=16</math> and <math>H_0:\mu = 1</math>. The values of the distribution function <math>F</math> of the <math>t(n)</math>-distribution are ''(table below)''. What is your conclusion for the following cases: :(a) at a right-sided test at level 5% :(b) at a right-sided test at level 1%? :(c…“) Tag: Visual edit: Switched |
N 20:30 | TU Wien:Statistik und Wahrscheinlichkeitstheorie UE (Levajkovic)/Übungen 2022W/HW07.5 diffhist +759 Simplex talk contribs (Die Seite wurde neu angelegt: „{{Beispiel| ; Law of large numbers Visualize the law of the large numbers assuming exponential distributed random variables. Let <math>X_1, X_2, \dots</math> be i.i.d. random variables, with <math>X_1 \sim \text{exp}(\lambda)</math>. For <math>m = 1, 2, \dots</math> the mean of the first <math>m</math> random variables is given as <math display="block">\bar X_m = \frac{1}{m} \sum_{i=1}^m X_i, \quad m \in \mathbb N.</math> Further, for <math>n \in \ma…“) |
N 20:16 | TU Wien:Statistik und Wahrscheinlichkeitstheorie UE (Levajkovic)/Übungen 2022W/HW07.4 diffhist +1,258 Simplex talk contribs (Die Seite wurde neu angelegt: „{{Beispiel| ;Type I error and Type II error Let <math>X_1 , \dots , X_{16}</math> be i.i.d. random variables with <math>X_1 \sim \mathcal N (0, 4). Assume that for a realization it holds <math>\bar x = 4</math>. In the context of a right-sided <math>z</math>-test, let <math>H_0 : \mu = 2</math> and the rejection area <math>R = [3, +\infty)</math>. Which of the following statements are correct? :(a) We will commit a Type I error :(b) We will commit a Typ…“) |
N 20:05 | TU Wien:Statistik und Wahrscheinlichkeitstheorie UE (Levajkovic)/Übungen 2022W/HW07.3 diffhist +622 Simplex talk contribs (Die Seite wurde neu angelegt: „{{Beispiel| ; Test power in the z-test Let <math>X_1, \dots, X_n</math> be i.i.d random variables with <math>X_1 \sim \mathcal N (\mu, \sigma^2)</math>, and <math>H_0 : \mu = \mu_0</math>. :(a) Compute the test power of the left-sided <math>z</math>-test. Express it through the cdf of the standard normal distribution, depending on <math>\mu_0</math>, <math>\mu</math>, <math>\sigma</math>, <math>n</math> and the significance level <math>\alpha</math>. :(…“) |