Punteggio di vocabolario vs. classe sociale autoidentificata

Inferenza per dati numerici in R

Mine Cetinkaya-Rundel

Associate Professor of the Practice, Duke University

Punteggio di vocabolario e classe sociale autoidentificata

wordsum: test di vocabolario con 10 domande (punteggio da 0 a 10)
class: classe sociale autoidentificata (lower, working, middle, upper)

   wordsum  class 
1        6 MIDDLE  
2        9 WORKING 
3        6 WORKING 
4        5 WORKING 
5        6 WORKING 
6        6 WORKING 
...    ...     ...     
795      9 MIDDLE

SPACE (school, noon, captain, room, board, don't know)
BROADEN (efface, make level, elapse, embroider, widen, don't know)
EMANATE (populate, free, prominent, rival, come, don't know)
EDIBLE (auspicious, eligible, fit to eat, sagacious, able to speak, don't know)
ANIMOSITY (hatred, animation, disobedience, diversity, friendship, don't know)
PACT (puissance, remonstrance, agreement, skillet, pressure, don't know)
CLOISTERED (miniature, bunched, arched, malady, secluded, don't know)
CAPRICE (value, a star, grimace, whim, inducement, don't know)
ACCUSTOM (disappoint, customary, encounter, get used to, business, don't know)
ALLUSION (reference, dream, eulogy, illusion, aria, don't know)

Distribuzione del punteggio di vocabolario

ggplot(data = gss, aes(x = wordsum)) +
  geom_histogram(binwidth = 1)

Istogramma di wordsum

Classe sociale autoidentificata: `class`

Se dovessi scegliere uno di quattro nomi per la tua classe sociale, in quale ti collocheresti: lower, working, middle o upper class?

ggplot(data = gss, aes(x = wordsum)) +
  geom_histogram(binwidth = 1)

Grafico a barre di class

Esercitiamoci!

Inferenza per dati numerici in R