DICŢIONAR DE TERMENI BIOSTATISTICI ROMÂN - ENGLEZ FRANCEZ
|
|
- Hugo Greene
- 6 years ago
- Views:
Transcription
1 Dicţionar de termeni biostatistici român - englez - francez, DICŢIONAR DE TERMENI BIOSTATISTICI ROMÂN - ENGLEZ FRANCEZ (din DRAGOMIRESCU L Biostatistică pentru începători. Editura Constelaţii. Bucureşti, 220p, ISBN pp ) Interpretarea notaţiilor: Semnul ";" desparte sinonime care, de regulă, nu conţin cuvinte comune. Parantezele includ cuvinte sau grupe de cuvinte care pot fi ignorate. De exemplu: "frecvenţă (absolută)" poate fi cititită fie "frecvenţă absolută", fie numai "frecvenţă". Semnul "/" pus înainte şi după un cuvânt sau un grup de cuvinte indică variante alternative. De exemplu: "interval de / clasă / grupare /" se va citi "interval de clasă", respectiv "interval de grupare". 1. Generalităţi biomatematică; biologie matematică biomathematics biomathématique; biologie mathématique biometrie biometrics biométrie biostatistică; statistică biologică biostatistics statistique biologique (caracteristică) variabilă variable variable eşantioane de observaţii perechi / related / matched-pairs / samples échantillons / séries / appariées eşantioane / independente / independent prelevate / independent samples échantillons independants eşantion sample échantillon inferenţă statistică statistical inference inférence statistique interval de / clasă / grupare / class interval amplitude; intervalle de classe statistică descriptivă descriptive statistics statistique descriptive statistică / inductivă / inferenţială / inferential statistics statistique inductive tabelă de numere / aleatoare / întâmplătoare / table of random numbers table de nombres / aléatoires / au hasard / 2. Frecvenţe şi distribuţii de frecvenţe frecvenţă (absolută) (absolute) frequency fréquence (absolue); effectif frecvenţă observată / empirică / observed frequency effectif / observée / empirique /
2 2 Dicţionar de termeni biostatistici român - englez - francez, 1998 frecvenţă relativă / relative / proportional / frequency fréquence relative frecvenţă teoretică expected frequency effectif théorique / distribuţie / repartiţie / (de frecvenţe) (frequency) distribution distribution / de fréquences / statistique / distribuţie / asimetrică / oblică / / asymmetric / asymmetrical / non-symmetric / nonsymmetrical / skew / distribution distribution dissymétrique distribuţie asimetrică / de / la / dreapta distribuţie asimetrică / de / la / stânga negatively-skew distribution positively-skew distribution distribution dissymétrique de droite distribution dissymétrique de gauche distribuţie bimodală bimodal distribution distribution bimodale distribuţie empirică observed distribution distribution / observée / empirique / distribuţie / F / a lui Fisher / / Fisher-Snedecor's / Snedecor's / F- / variance-ratio / distribution distribution F de Fisher-Snedecor distribuţie simetrică symmetrical distribution distribution symétrique distribuţie Student / t-distribution / Student's / distribution distribution t de Student distribuţie teoretică theoretical distribution distribution théorique distribuţie unimodală unimodal distribution distribution unimodale distribuţie χ 2 / chi-squared / χ 2 / Pearson's / distribution distribution χ 2 de Pearson 3. Sinteză grafică diagramă / prin / în / batoane bar diagram diagramme en bâtons histogramă histogram histogramme poligon de frecvenţe frequency polygon polygone de fréquences reprezentare sub formă de "boxplot" box plot; box-and-whisker plot répressentation graphique sous forme de "boxplot"
3 Dicţionar de termeni biostatistici român - englez - francez, Sinteză numerică 4.1. Indicatori de localizare Indicatori de tendinţă centrală mediană median médiane medie (aritmetică) (arithmetic) mean; average moyenne (arithmétique) modă; mod; modul; (valoare) dominantă; valoare modală mode mode; valeur dominante Alţi indicatori de localizare centilă; percentilă percentile centile; pourcentile α-cuantilă inferioară lower critical value valeur critique inférieure α-cuantilă superioară upper critical value valeur critique supérieure cuantilă de ordin m quantile; fractile / quantile / fractile / d'ordre m cuartilă quartile quartile cuartilă inferioară / third* / lower / quartile premier quartile cuartilă superioară / first* / upper / quartile troisième quartile decilă decile décile * În [23 ] cuartilele se consideră în mod invers, de la valorile mari către cele mici Indicatori de împrăştiere abatere / standard / pătratică medie / medie pătratică / tip /; deviaţie standard; SD; σ standard deviation écart / -type / quadratique moyen/; déviation standard amplitudine amplitude; range amplitude; étendue coeficient / (procentual) de variaţie / (procentual) de variabilitate / coefficient of variation; percentage standard deviation coefficient de / variation / variabilité / dispersie; varianţă; σ 2 ; fluctuaţie variance variance intercuartilă; interval intercuartil; abatere cuartilă interquartile range ( écart ) interquartile
4 4 Dicţionar de termeni biostatistici român - englez - francez, Variabile calitative entropie entropy entropie regularitate; echitabilitate evenness; equitability régularité; équitabilité 6. Corelaţie, regresie, asociere asociere association association coeficient de corelaţie a rangurilor al lui Spearman coeficient de contingenţă al lui Ciuprov coeficient de corelaţie lineară ( / Bravais-Pearson / al lui Pearson / ) coeficient de determinaţie Spearman's / rank correlation coefficient / ρ / contingency coefficient ( product- moment / linear / Bravais' / Pearson's / ) correlation coefficient coefficient of determination; determination coefficient coefficient de corrélation de rangs de Spearman coefficient de contingence coefficient de corrélation ( / linéaire ( de Bravais-Pearson ) / totale / ) coefficient de determination covarianţă covariance covariance covariaţie covariation covariation dependenţă dependence dépendance independenţă independence indépendance stereogramă stereogram stéréogramme tabel / de contingenţă / statistică cu dublă intrare / 7. Scale, reţele / contingency / bivariate frequency / table tableau de contingence scală logaritmică logarithmic scale échelle logarithmique scală semilogaritmică semilogarithmic scale échelle semi-logarithmique 8. Teste binare prevalenţă prevalence prévalence sensibilitate sensitivity sensibilité specificitate specificity spécificité
5 Dicţionar de termeni biostatistici român - englez - francez, Teoria estimaţiei a estima estimate estimer deplasare bias biais eroare standard ( a unui estimator ) standard error erreur- / standard / type / estimator estimator estimateur estimator eficient efficient estimator estimator efficace estimator / just / nedeplasat / unbiased estimator estimateur / sans biais / non biaisé / impartial / estimaţie estimation estimation interval de încredere confidence interval intervalle de confiance nivel de încredere confidence level niveau de confiance precizie precision précision 10. Verificarea ipotezelor statistice eroare de speţa I α-error; first kind error erreur de première espèce eroare de speţa a II-a β-error; second kind error erreur de deuxième espèce foarte semnificativ highly significant * hautement significatif * ipoteză alternativă / alternative / non-null / hypothesis hypothèse alternative ipoteză nulă null hypothesis hypothèse nulle înalt semnificativ very highly significant * très hautement significatif * nivel de semnificaţie significance level niveau de signification putere (a unui test) power (of a test) puissance (d'un test) regiune de acceptare ( a ipotezei nule ) acceptance region région d'acceptation regiune de respingere ( a ipotezei nule ) / rejection / critical / region région / de rejet / critique / * A se observa corespondenţa de limbaj între engleză şi franceză şi diferenţele faţă de terminologia română.
6 6 Dicţionar de termeni biostatistici român - englez - francez, 1998 semnificativ significant significatif test bilateral / two-tail / double tailed / two sided / test test bilatéral test de / ajustare / concordanţă / test of goodness of fit test d'ajustement test de conformitate test of conformity test de conformité test de / egalitate / omogenitate / comparaţie / test of / equality / homogenity / test / d'égalité / d'homogénéité / test de independenţă test of independence test d'independance test / de semnificaţie / statistic / test / of significance / statistic / of hypothesis / test neparametric / non-parametric test / distribution-free test / of significance test / de signification / d'hypothèses / méthod non-paramétrique test parametric parametric test of significance méthod paramétrique test / t / Student / ( Student's ) t-test test t de Student test χ 2 chi-squared test, χ 2 test test du χ 2 Notă: Termenii în limba română sunt, de regulă, cei utilizaţi în această lucrare şi/sau în [17], iar cei din engleză şi franceză sunt preluaţi, în marea lor majoritate, din [10] şi [23']. REFERINŢE [10] Dagnelie P Statistique Théorique et Appliquée. Les Presses Agronomiques de Gembloux. [17] Iosifescu M., Moineagu C., Trebici V.& Ursianu Emiliana Mică enciclopedie de statistică. Ed. Ştiinţifică şi Enciclopedică, Bucureşti. [23'] Porkess R Dictionary of statistics. Collins, London and Glasgow.
INDEX DES TRADUCTIONS ANGLAISES
STATISTIQUE THÉORIQUE ET APPLIQUÉE Tome 1 Statistique descriptive et bases de l inférence statistique Pierre Dagnelie INDEX DES TRADUCTIONS ANGLAISES Bruxelles, De Boeck, 2013, 517 p. ISBN 978-2-8041-7560-3
More informationTastitsticsss? What s that? Principles of Biostatistics and Informatics. Variables, outcomes. Tastitsticsss? What s that?
Tastitsticsss? What s that? Statistics describes random mass phanomenons. Principles of Biostatistics and Informatics nd Lecture: Descriptive Statistics 3 th September Dániel VERES Data Collecting (Sampling)
More informationGlossary. The ISI glossary of statistical terms provides definitions in a number of different languages:
Glossary The ISI glossary of statistical terms provides definitions in a number of different languages: http://isi.cbs.nl/glossary/index.htm Adjusted r 2 Adjusted R squared measures the proportion of the
More informationContents. Acknowledgments. xix
Table of Preface Acknowledgments page xv xix 1 Introduction 1 The Role of the Computer in Data Analysis 1 Statistics: Descriptive and Inferential 2 Variables and Constants 3 The Measurement of Variables
More informationDover- Sherborn High School Mathematics Curriculum Probability and Statistics
Mathematics Curriculum A. DESCRIPTION This is a full year courses designed to introduce students to the basic elements of statistics and probability. Emphasis is placed on understanding terminology and
More informationIntroduction and Descriptive Statistics p. 1 Introduction to Statistics p. 3 Statistics, Science, and Observations p. 5 Populations and Samples p.
Preface p. xi Introduction and Descriptive Statistics p. 1 Introduction to Statistics p. 3 Statistics, Science, and Observations p. 5 Populations and Samples p. 6 The Scientific Method and the Design of
More informationDETAILED CONTENTS PART I INTRODUCTION AND DESCRIPTIVE STATISTICS. 1. Introduction to Statistics
DETAILED CONTENTS About the Author Preface to the Instructor To the Student How to Use SPSS With This Book PART I INTRODUCTION AND DESCRIPTIVE STATISTICS 1. Introduction to Statistics 1.1 Descriptive and
More informationA GENERALIZATION OF A CLASSICAL MONTE CARLO ALGORITHM TO ESTIMATE π
U.P.B. Sci. Bull., Series A, Vol. 68, No., 6 A GENERALIZATION OF A CLASSICAL MONTE CARLO ALGORITHM TO ESTIMATE π S.C. ŞTEFĂNESCU Algoritmul Monte Carlo clasic A1 estimeazează valoarea numărului π bazându-se
More informationSoluţii juniori., unde 1, 2
Soluţii juniori Problema 1 Se consideră suma S x1x x3x4... x015 x016 Este posibil să avem S 016? Răspuns: Da., unde 1,,..., 016 3, 3 Termenii sumei sunt de forma 3 3 1, x x x. 3 5 6 sau Cristian Lazăr
More informationBasic Statistical Analysis
indexerrt.qxd 8/21/2002 9:47 AM Page 1 Corrected index pages for Sprinthall Basic Statistical Analysis Seventh Edition indexerrt.qxd 8/21/2002 9:47 AM Page 656 Index Abscissa, 24 AB-STAT, vii ADD-OR rule,
More informationGlossary for the Triola Statistics Series
Glossary for the Triola Statistics Series Absolute deviation The measure of variation equal to the sum of the deviations of each value from the mean, divided by the number of values Acceptance sampling
More informationSubject CS1 Actuarial Statistics 1 Core Principles
Institute of Actuaries of India Subject CS1 Actuarial Statistics 1 Core Principles For 2019 Examinations Aim The aim of the Actuarial Statistics 1 subject is to provide a grounding in mathematical and
More informationØ Set of mutually exclusive categories. Ø Classify or categorize subject. Ø No meaningful order to categorization.
Statistical Tools in Evaluation HPS 41 Fall 213 Dr. Joe G. Schmalfeldt Types of Scores Continuous Scores scores with a potentially infinite number of values. Discrete Scores scores limited to a specific
More information3 Joint Distributions 71
2.2.3 The Normal Distribution 54 2.2.4 The Beta Density 58 2.3 Functions of a Random Variable 58 2.4 Concluding Remarks 64 2.5 Problems 64 3 Joint Distributions 71 3.1 Introduction 71 3.2 Discrete Random
More informationLecture 3B: Chapter 4, Section 2 Quantitative Variables (Displays, Begin Summaries)
Lecture 3B: Chapter 4, Section 2 Quantitative Variables (Displays, Begin Summaries) Summarize with Shape, Center, Spread Displays: Stemplots, Histograms Five Number Summary, Outliers, Boxplots Mean vs.
More informationNemours Biomedical Research Biostatistics Core Statistics Course Session 4. Li Xie March 4, 2015
Nemours Biomedical Research Biostatistics Core Statistics Course Session 4 Li Xie March 4, 2015 Outline Recap: Pairwise analysis with example of twosample unpaired t-test Today: More on t-tests; Introduction
More informationBusiness Statistics. Lecture 10: Course Review
Business Statistics Lecture 10: Course Review 1 Descriptive Statistics for Continuous Data Numerical Summaries Location: mean, median Spread or variability: variance, standard deviation, range, percentiles,
More informationFundamentals to Biostatistics. Prof. Chandan Chakraborty Associate Professor School of Medical Science & Technology IIT Kharagpur
Fundamentals to Biostatistics Prof. Chandan Chakraborty Associate Professor School of Medical Science & Technology IIT Kharagpur Statistics collection, analysis, interpretation of data development of new
More informationNon-parametric tests, part A:
Two types of statistical test: Non-parametric tests, part A: Parametric tests: Based on assumption that the data have certain characteristics or "parameters": Results are only valid if (a) the data are
More informationInstitute of Actuaries of India
Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics For 2018 Examinations Subject CT3 Probability and Mathematical Statistics Core Technical Syllabus 1 June 2017 Aim The
More informationTestarea ipotezelor statistice
Testarea ipotezelor statistice Formularea de ipoteze statistice este una din cele mai importante aspecte ale cercetarii stiintifice. O ipoteza noua trebuie verificata! Pentru verificarea unor ipoteze statistice
More informationChapter 3. Data Description
Chapter 3. Data Description Graphical Methods Pie chart It is used to display the percentage of the total number of measurements falling into each of the categories of the variable by partition a circle.
More informationGENERATOARE DE SEMNAL DIGITALE
Technical University of Iasi, Romania Faculty of Electronics and Telecommunications Signals, Circuits and Systems laboratory Prof. Victor Grigoras Cuprins Clasificarea generatoarelor Filtre reursive la
More information2/2/2015 GEOGRAPHY 204: STATISTICAL PROBLEM SOLVING IN GEOGRAPHY MEASURES OF CENTRAL TENDENCY CHAPTER 3: DESCRIPTIVE STATISTICS AND GRAPHICS
Spring 2015: Lembo GEOGRAPHY 204: STATISTICAL PROBLEM SOLVING IN GEOGRAPHY CHAPTER 3: DESCRIPTIVE STATISTICS AND GRAPHICS Descriptive statistics concise and easily understood summary of data set characteristics
More informationStatistical. Psychology
SEVENTH у *i km m it* & П SB Й EDITION Statistical M e t h o d s for Psychology D a v i d C. Howell University of Vermont ; \ WADSWORTH f% CENGAGE Learning* Australia Biaall apan Korea Меяко Singapore
More informationPsychology 282 Lecture #4 Outline Inferences in SLR
Psychology 282 Lecture #4 Outline Inferences in SLR Assumptions To this point we have not had to make any distributional assumptions. Principle of least squares requires no assumptions. Can use correlations
More informationSpearman Rho Correlation
Spearman Rho Correlation Learning Objectives After studying this Chapter, you should be able to: know when to use Spearman rho, Calculate Spearman rho coefficient, Interpret the correlation coefficient,
More informationØ Set of mutually exclusive categories. Ø Classify or categorize subject. Ø No meaningful order to categorization.
Statistical Tools in Evaluation HPS 41 Dr. Joe G. Schmalfeldt Types of Scores Continuous Scores scores with a potentially infinite number of values. Discrete Scores scores limited to a specific number
More informationLast Lecture. Distinguish Populations from Samples. Knowing different Sampling Techniques. Distinguish Parameters from Statistics
Last Lecture Distinguish Populations from Samples Importance of identifying a population and well chosen sample Knowing different Sampling Techniques Distinguish Parameters from Statistics Knowing different
More informationCHAPTER 17 CHI-SQUARE AND OTHER NONPARAMETRIC TESTS FROM: PAGANO, R. R. (2007)
FROM: PAGANO, R. R. (007) I. INTRODUCTION: DISTINCTION BETWEEN PARAMETRIC AND NON-PARAMETRIC TESTS Statistical inference tests are often classified as to whether they are parametric or nonparametric Parameter
More informationDescriptive Statistics-I. Dr Mahmoud Alhussami
Descriptive Statistics-I Dr Mahmoud Alhussami Biostatistics What is the biostatistics? A branch of applied math. that deals with collecting, organizing and interpreting data using well-defined procedures.
More informationLecture 6: Chapter 4, Section 2 Quantitative Variables (Displays, Begin Summaries)
Lecture 6: Chapter 4, Section 2 Quantitative Variables (Displays, Begin Summaries) Summarize with Shape, Center, Spread Displays: Stemplots, Histograms Five Number Summary, Outliers, Boxplots Cengage Learning
More informationStatistics Handbook. All statistical tables were computed by the author.
Statistics Handbook Contents Page Wilcoxon rank-sum test (Mann-Whitney equivalent) Wilcoxon matched-pairs test 3 Normal Distribution 4 Z-test Related samples t-test 5 Unrelated samples t-test 6 Variance
More informationUnit 2. Describing Data: Numerical
Unit 2 Describing Data: Numerical Describing Data Numerically Describing Data Numerically Central Tendency Arithmetic Mean Median Mode Variation Range Interquartile Range Variance Standard Deviation Coefficient
More information7.2 One-Sample Correlation ( = a) Introduction. Correlation analysis measures the strength and direction of association between
7.2 One-Sample Correlation ( = a) Introduction Correlation analysis measures the strength and direction of association between variables. In this chapter we will test whether the population correlation
More information375 PU M Sc Statistics
375 PU M Sc Statistics 1 of 100 193 PU_2016_375_E For the following 2x2 contingency table for two attributes the value of chi-square is:- 20/36 10/38 100/21 10/18 2 of 100 120 PU_2016_375_E If the values
More informationSTATISTICS ANCILLARY SYLLABUS. (W.E.F. the session ) Semester Paper Code Marks Credits Topic
STATISTICS ANCILLARY SYLLABUS (W.E.F. the session 2014-15) Semester Paper Code Marks Credits Topic 1 ST21012T 70 4 Descriptive Statistics 1 & Probability Theory 1 ST21012P 30 1 Practical- Using Minitab
More informationON THE QUATERNARY QUADRATIC DIOPHANTINE EQUATIONS (II) NICOLAE BRATU 1 ADINA CRETAN 2
ON THE QUATERNARY QUADRATIC DIOPHANTINE EQUATIONS (II) NICOLAE BRATU 1 ADINA CRETAN ABSTRACT This paper has been updated and completed thanks to suggestions and critics coming from Dr. Mike Hirschhorn,
More informationTransition Passage to Descriptive Statistics 28
viii Preface xiv chapter 1 Introduction 1 Disciplines That Use Quantitative Data 5 What Do You Mean, Statistics? 6 Statistics: A Dynamic Discipline 8 Some Terminology 9 Problems and Answers 12 Scales of
More informationTWO BOUNDARY ELEMENT APPROACHES FOR THE COMPRESSIBLE FLUID FLOW AROUND A NON-LIFTING BODY
U.P.B. Sci. Bull., Series A, Vol. 7, Iss., 9 ISSN 3-77 TWO BOUNDARY ELEMENT APPROACHES FOR THE COMPRESSIBLE FLUID FLOW AROUND A NON-LIFTING BODY Luminiţa GRECU, Gabriela DEMIAN, Mihai DEMIAN 3 În lucrare
More informationStatistical Methods. by Robert W. Lindeman WPI, Dept. of Computer Science
Statistical Methods by Robert W. Lindeman WPI, Dept. of Computer Science gogo@wpi.edu Descriptive Methods Frequency distributions How many people were similar in the sense that according to the dependent
More informationBNG 495 Capstone Design. Descriptive Statistics
BNG 495 Capstone Design Descriptive Statistics Overview The overall goal of this short course in statistics is to provide an introduction to descriptive and inferential statistical methods, with a focus
More informationLecture Slides. Elementary Statistics Tenth Edition. by Mario F. Triola. and the Triola Statistics Series. Slide 1
Lecture Slides Elementary Statistics Tenth Edition and the Triola Statistics Series by Mario F. Triola Slide 1 Chapter 3 Statistics for Describing, Exploring, and Comparing Data 3-1 Overview 3-2 Measures
More informationChapter 13 Correlation
Chapter Correlation Page. Pearson correlation coefficient -. Inferential tests on correlation coefficients -9. Correlational assumptions -. on-parametric measures of correlation -5 5. correlational example
More information1. Exploratory Data Analysis
1. Exploratory Data Analysis 1.1 Methods of Displaying Data A visual display aids understanding and can highlight features which may be worth exploring more formally. Displays should have impact and be
More informationChapter 2 Class Notes Sample & Population Descriptions Classifying variables
Chapter 2 Class Notes Sample & Population Descriptions Classifying variables Random Variables (RVs) are discrete quantitative continuous nominal qualitative ordinal Notation and Definitions: a Sample is
More informationPrentice Hall Stats: Modeling the World 2004 (Bock) Correlated to: National Advanced Placement (AP) Statistics Course Outline (Grades 9-12)
National Advanced Placement (AP) Statistics Course Outline (Grades 9-12) Following is an outline of the major topics covered by the AP Statistics Examination. The ordering here is intended to define the
More informationFRANKLIN UNIVERSITY PROFICIENCY EXAM (FUPE) STUDY GUIDE
FRANKLIN UNIVERSITY PROFICIENCY EXAM (FUPE) STUDY GUIDE Course Title: Probability and Statistics (MATH 80) Recommended Textbook(s): Number & Type of Questions: Probability and Statistics for Engineers
More informationHYPOTHESIS TESTING II TESTS ON MEANS. Sorana D. Bolboacă
HYPOTHESIS TESTING II TESTS ON MEANS Sorana D. Bolboacă OBJECTIVES Significance value vs p value Parametric vs non parametric tests Tests on means: 1 Dec 14 2 SIGNIFICANCE LEVEL VS. p VALUE Materials and
More informationBackground to Statistics
FACT SHEET Background to Statistics Introduction Statistics include a broad range of methods for manipulating, presenting and interpreting data. Professional scientists of all kinds need to be proficient
More informationBasics of Statistics
University of Veterinary and Pharmaceutical Sciences Brno Basics of Statistics for Students of Veterinary Medicine Doc. RNDr. Iveta Bedáňová, Ph.D. Brno, 019 Contents Preface.... 5 1 Basic Concepts of
More informationParametric versus Nonparametric Statistics-when to use them and which is more powerful? Dr Mahmoud Alhussami
Parametric versus Nonparametric Statistics-when to use them and which is more powerful? Dr Mahmoud Alhussami Parametric Assumptions The observations must be independent. Dependent variable should be continuous
More informationP8130: Biostatistical Methods I
P8130: Biostatistical Methods I Lecture 2: Descriptive Statistics Cody Chiuzan, PhD Department of Biostatistics Mailman School of Public Health (MSPH) Lecture 1: Recap Intro to Biostatistics Types of Data
More informationLegi de distribuţie (principalele distribuţii de probabilitate) Tudor Drugan
Legi de distribuţie (principalele distribuţii de probabilitate) Tudor Drugan Introducere In general distribuţiile variabilelor aleatoare definite pe o populaţie, care face obiectul unui studiu, nu se cunosc.
More informationResearch Methodology Statistics Comprehensive Exam Study Guide
Research Methodology Statistics Comprehensive Exam Study Guide References Glass, G. V., & Hopkins, K. D. (1996). Statistical methods in education and psychology (3rd ed.). Boston: Allyn and Bacon. Gravetter,
More informationAP Statistics Cumulative AP Exam Study Guide
AP Statistics Cumulative AP Eam Study Guide Chapters & 3 - Graphs Statistics the science of collecting, analyzing, and drawing conclusions from data. Descriptive methods of organizing and summarizing statistics
More informationBivariate Relationships Between Variables
Bivariate Relationships Between Variables BUS 735: Business Decision Making and Research 1 Goals Specific goals: Detect relationships between variables. Be able to prescribe appropriate statistical methods
More informationStatistics. Statistics
The main aims of statistics 1 1 Choosing a model 2 Estimating its parameter(s) 1 point estimates 2 interval estimates 3 Testing hypotheses Distributions used in statistics: χ 2 n-distribution 2 Let X 1,
More informationSection 3. Measures of Variation
Section 3 Measures of Variation Range Range = (maximum value) (minimum value) It is very sensitive to extreme values; therefore not as useful as other measures of variation. Sample Standard Deviation The
More informationEverything is not normal
Everything is not normal According to the dictionary, one thing is considered normal when it s in its natural state or conforms to standards set in advance. And this is its normal meaning. But, like many
More informationClass 11 Maths Chapter 15. Statistics
1 P a g e Class 11 Maths Chapter 15. Statistics Statistics is the Science of collection, organization, presentation, analysis and interpretation of the numerical data. Useful Terms 1. Limit of the Class
More informationExploring, summarizing and presenting data. Berghold, IMI, MUG
Exploring, summarizing and presenting data Example Patient Nr Gender Age Weight Height PAVK-Grade W alking Distance Physical Functioning Scale Total Cholesterol Triglycerides 01 m 65 90 185 II b 200 70
More informationReview of Statistics 101
Review of Statistics 101 We review some important themes from the course 1. Introduction Statistics- Set of methods for collecting/analyzing data (the art and science of learning from data). Provides methods
More informationStatistics in medicine
Statistics in medicine Lecture 1- part 1: Describing variation, and graphical presentation Outline Sources of variation Types of variables Fatma Shebl, MD, MS, MPH, PhD Assistant Professor Chronic Disease
More informationHypothesis Testing One Sample Tests
STATISTICS Lecture no. 13 Department of Econometrics FEM UO Brno office 69a, tel. 973 442029 email:jiri.neubauer@unob.cz 12. 1. 2010 Tests on Mean of a Normal distribution Tests on Variance of a Normal
More informationSisteme cu logica fuzzy
Sisteme cu logica fuzzy 1/15 Sisteme cu logica fuzzy Mamdani Fie un sistem cu logică fuzzy Mamdani două intrări x şi y ieşire z x y SLF Structura z 2/15 Sisteme cu logica fuzzy Mamdani Baza de reguli R
More informationCorrelation: Relationships between Variables
Correlation Correlation: Relationships between Variables So far, nearly all of our discussion of inferential statistics has focused on testing for differences between group means However, researchers are
More informationExam details. Final Review Session. Things to Review
Exam details Final Review Session Short answer, similar to book problems Formulae and tables will be given You CAN use a calculator Date and Time: Dec. 7, 006, 1-1:30 pm Location: Osborne Centre, Unit
More informationTextbook Examples of. SPSS Procedure
Textbook s of IBM SPSS Procedures Each SPSS procedure listed below has its own section in the textbook. These sections include a purpose statement that describes the statistical test, identification of
More informationApplication of Variance Homogeneity Tests Under Violation of Normality Assumption
Application of Variance Homogeneity Tests Under Violation of Normality Assumption Alisa A. Gorbunova, Boris Yu. Lemeshko Novosibirsk State Technical University Novosibirsk, Russia e-mail: gorbunova.alisa@gmail.com
More informationECONOMETRIC ANALYSIS OF THE COMPANY ON STOCK EXCHANGE
ECONOMETRIC ANALYSIS OF THE COMPANY ON STOCK EXCHANGE Macovei Anamaria Geanina Ştefan cel Mare of University Suceava,Faculty of Economics and Public Administration street Universității, no. 3, city Suceava,
More informationSPSS Guide For MMI 409
SPSS Guide For MMI 409 by John Wong March 2012 Preface Hopefully, this document can provide some guidance to MMI 409 students on how to use SPSS to solve many of the problems covered in the D Agostino
More informationSTAT 200 Chapter 1 Looking at Data - Distributions
STAT 200 Chapter 1 Looking at Data - Distributions What is Statistics? Statistics is a science that involves the design of studies, data collection, summarizing and analyzing the data, interpreting the
More informationZ score indicates how far a raw score deviates from the sample mean in SD units. score Mean % Lower Bound
1 EDUR 8131 Chat 3 Notes 2 Normal Distribution and Standard Scores Questions Standard Scores: Z score Z = (X M) / SD Z = deviation score divided by standard deviation Z score indicates how far a raw score
More informationBasics of Experimental Design. Review of Statistics. Basic Study. Experimental Design. When an Experiment is Not Possible. Studying Relations
Basics of Experimental Design Review of Statistics And Experimental Design Scientists study relation between variables In the context of experiments these variables are called independent and dependent
More informationCS 147: Computer Systems Performance Analysis
CS 147: Computer Systems Performance Analysis Summarizing Variability and Determining Distributions CS 147: Computer Systems Performance Analysis Summarizing Variability and Determining Distributions 1
More informationFinal Exam STAT On a Pareto chart, the frequency should be represented on the A) X-axis B) regression C) Y-axis D) none of the above
King Abdul Aziz University Faculty of Sciences Statistics Department Final Exam STAT 0 First Term 49-430 A 40 Name No ID: Section: You have 40 questions in 9 pages. You have 90 minutes to solve the exam.
More informationHANDBOOK OF APPLICABLE MATHEMATICS
HANDBOOK OF APPLICABLE MATHEMATICS Chief Editor: Walter Ledermann Volume VI: Statistics PART A Edited by Emlyn Lloyd University of Lancaster A Wiley-Interscience Publication JOHN WILEY & SONS Chichester
More informationECLT 5810 Data Preprocessing. Prof. Wai Lam
ECLT 5810 Data Preprocessing Prof. Wai Lam Why Data Preprocessing? Data in the real world is imperfect incomplete: lacking attribute values, lacking certain attributes of interest, or containing only aggregate
More informationHypothesis testing. 1 Principle of hypothesis testing 2
Hypothesis testing Contents 1 Principle of hypothesis testing One sample tests 3.1 Tests on Mean of a Normal distribution..................... 3. Tests on Variance of a Normal distribution....................
More informationDATA ANALYSIS. Faculty of Civil Engineering
DATA ANALYSIS Faculty of Civil Engineering DATA DATA - Introduction Data is a collection of facts, such as numbers, words, measurements, observations or even just descriptions of things. Qualitative data
More informationWhat is Statistics? Statistics is the science of understanding data and of making decisions in the face of variability and uncertainty.
What is Statistics? Statistics is the science of understanding data and of making decisions in the face of variability and uncertainty. Statistics is a field of study concerned with the data collection,
More informationIntroduction to Statistical Analysis
Introduction to Statistical Analysis Changyu Shen Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology Beth Israel Deaconess Medical Center Harvard Medical School Objectives Descriptive
More informationChapter Eight: Assessment of Relationships 1/42
Chapter Eight: Assessment of Relationships 1/42 8.1 Introduction 2/42 Background This chapter deals, primarily, with two topics. The Pearson product-moment correlation coefficient. The chi-square test
More informationChapter 4.notebook. August 30, 2017
Sep 1 7:53 AM Sep 1 8:21 AM Sep 1 8:21 AM 1 Sep 1 8:23 AM Sep 1 8:23 AM Sep 1 8:23 AM SOCS When describing a distribution, make sure to always tell about three things: shape, outliers, center, and spread
More informationFinding Relationships Among Variables
Finding Relationships Among Variables BUS 230: Business and Economic Research and Communication 1 Goals Specific goals: Re-familiarize ourselves with basic statistics ideas: sampling distributions, hypothesis
More informationLecture 2 and Lecture 3
Lecture 2 and Lecture 3 1 Lecture 2 and Lecture 3 We can describe distributions using 3 characteristics: shape, center and spread. These characteristics have been discussed since the foundation of statistics.
More informationNonparametric Statistics. Leah Wright, Tyler Ross, Taylor Brown
Nonparametric Statistics Leah Wright, Tyler Ross, Taylor Brown Before we get to nonparametric statistics, what are parametric statistics? These statistics estimate and test population means, while holding
More informationPentru clasa a X-a Ştiinţele naturii-sem II
Pentru clasa a X-a Ştiinţele naturii-sem II Reprezentarea algoritmilor. Pseudocod. Principiile programării structurate. Structuri de bază: structura liniară structura alternativă structura repetitivă Algoritmi
More informationMATH4427 Notebook 4 Fall Semester 2017/2018
MATH4427 Notebook 4 Fall Semester 2017/2018 prepared by Professor Jenny Baglivo c Copyright 2009-2018 by Jenny A. Baglivo. All Rights Reserved. 4 MATH4427 Notebook 4 3 4.1 K th Order Statistics and Their
More informationReview for Final. Chapter 1 Type of studies: anecdotal, observational, experimental Random sampling
Review for Final For a detailed review of Chapters 1 7, please see the review sheets for exam 1 and. The following only briefly covers these sections. The final exam could contain problems that are included
More informationChapter 15: Nonparametric Statistics Section 15.1: An Overview of Nonparametric Statistics
Section 15.1: An Overview of Nonparametric Statistics Understand Difference between Parametric and Nonparametric Statistical Procedures Parametric statistical procedures inferential procedures that rely
More information11: Comparing Group Variances. Review of Variance
11: Comparing Group Variances Review of Variance Parametric measures of variability are often based on sum of squares (SS) around e mean: (1) For e data set {3, 4, 5, 8}, = 5 and SS = (3 5) + (4 5) + (5
More informationReadings Howitt & Cramer (2014) Overview
Readings Howitt & Cramer (4) Ch 7: Relationships between two or more variables: Diagrams and tables Ch 8: Correlation coefficients: Pearson correlation and Spearman s rho Ch : Statistical significance
More information3rd Quartile. 1st Quartile) Minimum
EXST7034 - Regression Techniques Page 1 Regression diagnostics dependent variable Y3 There are a number of graphic representations which will help with problem detection and which can be used to obtain
More informationFIŞA DISCIPLINEI seminar/laborator 2 curs 5 din care: Total ore din planul de învăţământ
FIŞA DISCIPLINEI 1. Date despre program 1.1 Instituţia de învăţământ superior Universitatea Alexandru Ioan Cuza din Iaşi 1.2 Facultatea Facultatea de Informatică 1.3 Departamentul Informatică 1.4 Domeniul
More informationSTATISTICS REVIEW. D. Parameter: a constant for the case or population under consideration.
STATISTICS REVIEW I. Why do we need statistics? A. As human beings, we consciously and unconsciously evaluate whether variables affect phenomena of interest, but sometimes our common sense reasoning is
More informationIntroduction to Statistical Inference
Introduction to Statistical Inference Dr. Fatima Sanchez-Cabo f.sanchezcabo@tugraz.at http://www.genome.tugraz.at Institute for Genomics and Bioinformatics, Graz University of Technology, Austria Introduction
More informationReadings Howitt & Cramer (2014)
Readings Howitt & Cramer (014) Ch 7: Relationships between two or more variables: Diagrams and tables Ch 8: Correlation coefficients: Pearson correlation and Spearman s rho Ch 11: Statistical significance
More informationThe aim of this section is to introduce the numerical, graphical and listing facilities of the graphic display calculator (GDC).
Syllabus content Topic 1 Introduction to the graphic display calculator The aim of this section is to introduce the numerical, graphical and listing facilities of the graphic display calculator (GDC).
More information