Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

PSTAT 120C: Assignment #2 - Nonparametric Testing, Assignments of Asian literature

Information about an assignment for a statistics course (pstat 120c) where students are required to perform nonparametric tests to compare the means of two normal distributions and test the efficiency of new statistical software. The assignment includes calculating critical values, powers of tests, and probabilities under the null hypothesis.

Typology: Assignments

Pre 2010

Uploaded on 09/17/2009

koofers-user-wlg-3
koofers-user-wlg-3 🇺🇸

10 documents

1 / 2

Toggle sidebar

Related documents


Partial preview of the text

Download PSTAT 120C: Assignment #2 - Nonparametric Testing and more Assignments Asian literature in PDF only on Docsity! PSTAT 120C: Assignment # 2 Due April 23, 2009 These problems will be due in lecture next Thursday. 1. Exercise 15.3 from page 748 in WMS. 2. I want to compare the power of a nonparametric test to a typical normal test. Suppose I have 150 independent observations from a normal distribution with mean µ and standard deviation 10. I want to test H0 : µ = 0 vs. HA : µ > 0 Let M = the number of observations that are greater than 0, and x̄ = the average of the 150 observations. (a) Find the critical value z∗ for the critical region C1 = {x̄ > z∗} such that the level of the test is α = 0.05 (b) Find the critical value m∗ for the critical region C2 = {M > m∗} such that the level of the test is still α = 0.05. (c) Calculate the power of C1 when µ = 2. (d) Calculate the power of C2 when µ = 2. 3. Suppose that we have 6 observations, and we want to test whether the median= 0 or if it is greater than 0. Let T− be the Wilcoxon signed-rank statistic for the observations that are less than 0. Calculate the probability of these events under the null hypothesis. (a) P0 {T− = 2} (b) P0 {T− = 5} (c) P0 {T− ≤ 3} 4. In order to test the efficiency of some new statistical software, it was tested against the old software using some real data. Each program was run on 10 data sets and timed to see how long it would take to produce the output. Test whether or not the new software runs significantly faster using a signed-rank test. Use α = 0.05. Data set Old program New Program 1 71.6 79.9 2 35.5 15.2 3 37.7 25.2 4 35.4 21.0 5 37.5 27.3 6 75.8 67.1 7 41.6 36.3 8 80.1 98.5 9 61.3 87.9 10 37.9 32.2 5. For the 300 observations in the data set to test H0 : θ = 0 versus HA : θ 6= 0 where θ is the median of the distribution, we calculated the signed-rank statistics T− = 25, 850. 1
Docsity logo



Copyright © 2024 Ladybird Srl - Via Leonardo da Vinci 16, 10126, Torino, Italy - VAT 10816460017 - All rights reserved