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The paired t-test, non-parametric tests, and ANOVA July 13, 2004 Review: the Experiment (note: exact numbers have been altered) Grade 3 at Oak School were given an IQ ...

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Non-parametric tests, part A: * * * * * * * Two types of statistical test: Parametric tests: Based on assumption that the data have certain characteristics or ...

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HYPOTHESES TEST (III) Nonparametric Goodness-of-fit (GOF) tests Professor Ke-Sheng Cheng Department of Bioenvironmental Systems Engineering National Taiwan University

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From dose-response models to models accounting for epistatic effects. Indirect association: ... A Pure Epistatic. Inheritance Model ...

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One tailed t-test using SPSS: Divide the probability that a two-tailed SPSS test produces. SPSS always produces two-tailed significance level.

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Non-parametric statistics Dr David Field Parametric vs. non-parametric The t test covered in Lecture 5 is an example of a parametric test Parametric tests ...

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Today Concepts underlying inferential statistics Types of inferential statistics Parametric T-tests ANOVA Multiple regression ANCOVA Non-parametric Chi-Square

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Nonparametric Tests: Chi Square 2 Lesson 16 Parametric vs. Nonparametric Tests Parametric hypothesis test about population parameter (m or s2) z, t, F tests interval ...

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does a group change % on a binary ... and '4' mean the same thing as the difference between the ratings of '8' and '6' ... With smaller samples (k 6 & N 14) ...

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Statistical Tests Karen H. Hagglund, M.S. Karen.Hagglund@stjohn.org Let s Take it Step by Step... Identify topic Literature review Variables of interest Research ...

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Parametric Statistics Descriptive statistics Hypothesis testing Definitions: Population: the entire set about which info is needed, Greek letters are used Sample: a ...

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Biostatistics in Research Practice: Non-parametric tests Dr Victoria Allgar What is a non-parametric test ? Methods of analysis that do not assume a particular family ...

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PARAMETRIC STATISTICAL INFERENCE INFERENCE: Methodologies that allow us to draw conclusions about population parameters from sample statistics TYPES OF INFERENCE:

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Review for Test 2 Chapters 5 (start at 5.4), 6.1, 7.1-7.5, 12, 13, 15.1, Python Detailed study guide is available from the course web page. Chapter 5 - Types Array ...

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Title: Null hypothesis Author: SIVAGNANAM Last modified by: Sleep Lab Created Date: 6/19/2003 11:22:50 AM Document presentation format: On-screen Show

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Tests of Gravity

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Example: The effect of Ecstasy vs. Alcohol shall be measured, using the Beck ... Ecstasy users (Mdn=17.5) didn't seem to differ in depression levels from alcohol ...

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The steps of the hypothesis test are the same as for the t-test, but the null ... To make the test two sided, we must take into account the values this extreme ...

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Kolmogorov-Smirnov test (1-sample or 2-sample tests, normality tests) ... Similar to analysis of variance therefore, also called ANOVA by ranks ...

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Understand what are parametric methods. Understand how to learn ... P (x) = pox (1 po ) (1 x) L (po|X) = log t poxt (1 po ) (1 xt) MLE: po = t xt / N ...

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You will remember that two of the major requirements to use parametric ... formulas are set up so that you can punch in your own data and it should ...

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Point estimate for ETA1-ETA2 is -4.500. 96.3 Percent CI for ETA1-ETA2 is (-10.998,1.999) ... Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.0662 ...

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Which type of test to use. Parameters. are central to inference in GLM and ANOVA ... but represent assumptions about the underlying processes ...

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Title: No Slide Title Author: kaat Last modified by: LT Wang Created Date: 4/13/1997 2:24:48 PM Document presentation format: On-screen Show Company

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... (Chi-square tests) McNemar s Test Assumptions Normal Populations Student s t-Test Two types Independent Paired Independent Student s t-Test ...

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A Z-Test uses the normal distribution to obtain a test statistic based on some data that can be compared with a sampling distribution of chance, ...

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THE CHI-SQUARE TEST BACKGROUND AND NEED OF THE TEST Data collected in the field of medicine is often qualitative.--- For example, the presence or absence of a symptom ...

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1. one-way C2 (goodness of fit test) Chi-Square (C2) 2. two-way C2 (test of independence) ... one-way C2 (goodness of fit test) Chi-Square (C2) ...

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Independent Measures T-Test Quantitative Methods in HPELS HPELS 6210 Agenda Introduction The t Statistic for Independent-Measures Hypothesis Tests with Independent ...

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Often we have prior ideas (hypotheses), of how the system behaves. ... can be substantiated, or whether they must be modified or rejected outright. ...

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THE CHI-SQUARE TEST BACKGROUND AND NEED OF THE TEST Data collected in the field of medicine is often qualitative.--- For example, the presence or absence of a symptom ...

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To support the TSR use case. August 2006. ATML Test Description. 8. restonsoftware.com ... Test Strategy Report (TSR) FMECA. Configuration Data, Drawings, etc. ...

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There are transformations improving the normality and homoscedascity [we will go ... that there is no difference between heights of male and female students. ...

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Touchpad-Controlled Parametric Equalizer ECE 445 Group #24 Anthony Mangognia Alexander Spektor Farsheed Hamidi-Toosi TA: Chad Carlson Introduction Goal: To create a ...

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Title: Analysis of Variance Subject: EDR 991 doctoral students Author: John R. Slate Keywords: simple ANOVAs Last modified by: ED. LEADERSHIP Created Date

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Nonparametric tests are usually ... A non-parametric test to compare the medians of a group to some constant. What ... them anyway, pretending they were slightly ...

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Introduction to Parametric Design Sophomore Engineering Clinic I Example from Architecture. Design of Columns Example from Architecture. Design of Columns Example ...

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(c) 2001, Ron S. Kenett, Ph.D. 3. Null Hypotheses ... Is s known? What shape is the distribution of the population parameter? What is the sample size? ...

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assumed isotropy. loss angle f = 1E-08. Young modulus E = 400E09. Poisson ratio p = 0.23 ... assumed loss isotropy f = f -loss frequency dependent (*) f = 4.0E ...

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... method is discussed at the top of page 120 - note that usually the log ... at the bottom of p. 120 and top of p.121, the method of actually finding maximum ...

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6113 EDGE Base Station Test Set GSM I & C testing What is the 6113? GSM, GPRS and EDGE BTS tester Verifies base station installation and commissioning Provides ...

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Flight Test and Statistics PRESENTED BY Richard Duprey Director, FAA Certification Programs National Test Pilot School Mojave, California Flight Test and Statistics ...

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Automated Double Frequency Test System (DFTS) DFTS General potentialities: automated detection, identification and measurement of parameters for the main channel and ...

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Deciding which statistical test to use: * Tests covered on this course: (a) Nonparametric tests: Frequency data - Chi-Square test of association between 2 IVs ...

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... requirements, and support equipment to locate, align, and ... The original schema generates the a validation error in XML Spy (it's OK for the .NET parser) ...

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By Fernando Seoane, April 25th, 2006. Demo for Non-Parametric ... The similarities among the data is the basis of this type of ... (data.X,param.c) Function: ...

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Organized by the German Standards Body DIN. Supported by. the Federal Ministry of the Interior ... Test results have been used to improve the test standards ...

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Yves Le Traon Plan du cours 1 Introduction: importance du test et positionnement dans un contexte de GL Hi rarchisation des tests Etapes de test Le test statique Le ...

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... we will want to trap and respond to any mouse action, anywhere within the frame. ... Parent class for numeric wrapper classes: Integer, Long, Double, etc. ...

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DefectDesign Learning from Electrical Test

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Statistical Tests to Analyze the Categorical Data THE CHI-SQUARE TEST BACKGROUND AND NEED OF THE TEST Data collected in the field of medicine is often qualitative.

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Assessing Information from Multilevel and Continuous Tests Likelihood Ratios for results other than + or - Michael A. Kohn, MD, MPP

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Create a confidence interval at this alpha-level. ... Z-score z*=1.95996. CI: 8.4 /-(1.95996*.9208): (6.595, 10.205) Sample 2, with outlier ...

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