Intro to R Continued Qualitative vs Quantitative

(*) Quantitative variables: The characteristic is numerical E g , income level, age, blood pressure Quantitative variables can be discrete or continuous Discrete variables can take values that di er by xed amounts, usually usually used to count things E g , number of children Continuous variables can take values that di er by arbitrarily

STAT 201 Chapter 2 Exploring Data

•Quantitative(Continuous): Days, Age •Quantitative(Discrete): Piercings Days Piercings Gym Type Age Gender 2 0 No Neither 46 Female 3 1 Yes run 21 Female 1 0 Yes run 64 Male 6 2 Yes Both 18 Female 0 0 No Neither 19 Female 9

Intro to R Continued Qualitative vs Quantitative

–variable name –quantitative or qualitative –discrete, continuous, neither –nominal, ordinal, neither • A specific variable can be selected and passed to the class function Pass the variable age of dogData to class What does the result tell us?

Chapter 2 De ning and Classifying Data Variables

12), then this is a quantitative variable Otherwise, it is a categorical variable For example, if the measure is age of the subjects in years, then for all of the pairs 15 vs 20, 27 vs 33, 62 vs 67, etc , the di erence of 5 indicates that the subject in the pair with the large value has lived 5 more years than the subject

Data, variable, attribute - Coordination Toolkit

continuous variable can be transformed into categories and become a discrete variable Continuous variables can be further categorized as either interval or ratio variables Example of continuous variables: Time, weight, height, income, age, distance, quantity of milk produced, cultivated area, etc

II “Determining the value of a variable” means measuring it

ulation is a quantitative variable of cities Number of teeth is a quantitative variable of people Age, height and weight are quantitative variables of people Temperature is a quantitative variable (of place and time) A quantitative variable, such as population or number of teeth, that is always a whole number is called discrete

Notesdecours étape1 section1

Une variable quantitative est qualifiée de « discrète » ou de « continue » selon les valeurs qu’elle peut prendre L’ensemble de nombres auquel ces valeurs appartiennent est appelé « l’ensemble de référence » Une variable discrète est une variable dont on pourrait _____ toutes les valeurs

Statistiques Descriptives Et Probabilités

Lorsque la variable quantitative discrète ou continue comprend un grand nombre de valeurs, il est préférable de regrouper les valeurs en certains intervalles appelés classes pour rendre les données statistiques plus lisibles Considérons une variable X dont les valeurs sont dans un intervalle

FACULTE DE MEDECINE DE CONSTANTINE DEPARTEMENT DE MEDECINE

Répartition de la fréquence d’une variable donnée selon l’âge effectif/age 5 10 10 15 15 20 2- Polygone de fréquence C’est une ligne polygonale, construite à partir de l’histogramme Adapté à la représentation d’une variable quantitative continue mais aussi discontinue

[PDF] Intro to R Continued Qualitative vs Quantitative

Variables and data types

STAT 201 Chapter 2 Exploring Data