Docsity
Docsity

Prepara tus exámenes
Prepara tus exámenes

Prepara tus exámenes y mejora tus resultados gracias a la gran cantidad de recursos disponibles en Docsity


Consigue puntos base para descargar
Consigue puntos base para descargar

Gana puntos ayudando a otros estudiantes o consíguelos activando un Plan Premium


Orientación Universidad
Orientación Universidad


Data analysis summary - apuntes TEMA 1 - 4, Apuntes de Negocios Internacionales

Asignatura: data analysis, Profesor: Walter García Montes, Carrera: International Business Economics, Universidad: UPF

Tipo: Apuntes

2016/2017

Subido el 26/11/2017

sarita1004
sarita1004 🇪🇸

4

(1)

2 documentos

1 / 1

Toggle sidebar

Esta página no es visible en la vista previa

¡No te pierdas las partes importantes!

bg1
DATA ANALYSIS
Organize information.
To know about what data is telling us.
Data analysis process.
Previous step: Formulate a problem.
1. Variable identication.
2. Computer data entry.
3. Descriptive analysis.
4. Problem generalization.
5. Choosing the appropriate results.
6. Report writing.
“The central problem in management and in leadership ... is failure to
understand the information in variation.”
Dr. W. Edwards Deming
If we organize it well, we will get enough information.
Variables identication.
Individuals: People, animals or things that are described in a statics
dataset. It has one application.
Observation or cases: the individuals that we observe in our study.
Each application observed (ex, 30 cases).
Variable: Any characteristic observed and its value varies for each
observation or case. Symbol representing an unknown or not assigned
value of a characteristic of an individual: quantitative [continuous or
discrete] o qualitative/categorical.
4 variables
Qualitatives
Quantitatives

Vista previa parcial del texto

¡Descarga Data analysis summary - apuntes TEMA 1 - 4 y más Apuntes en PDF de Negocios Internacionales solo en Docsity!

DATA ANALYSIS

  • Organize information.
  • To know about what data is telling us.

⇒ Data analysis process.

Previous step : Formulate a problem.

  1. Variable identification.
  2. Computer data entry.
  3. Descriptive analysis.
  4. Problem generalization.
  5. Choosing the appropriate results.
  6. Report writing.

“The central problem in management and in leadership ... is failure to understand the information in variation .” Dr. W. Edwards Deming If we organize it well, we will get enough information.

⇒ Variables identification.

Individuals : People, animals or things that are described in a statics dataset. It has one application.

Observation or cases : the individuals that we observe in our study. Each application observed (ex, 30 cases).

Variable : Any characteristic observed and its value varies for each observation or case. Symbol representing an unknown or not assigned value of a characteristic of an individual: quantitative [continuous or discrete] o qualitative/categorical. 4 variables Qualitatives Quantitatives