Vocabulary score vs. self identified social class

Inferentie voor numerieke data in R

Mine Cetinkaya-Rundel

Associate Professor of the Practice, Duke University

Vocabulary score and self identified social class

  • wordsum: 10 question vocabulary test (scores range from 0 to 10)
  • class: self identified social class (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  
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  1. SPACE (school, noon, captain, room, board, don't know)
  2. BROADEN (efface, make level, elapse, embroider, widen, don't know)
  3. EMANATE (populate, free, prominent, rival, come, don't know)
  4. EDIBLE (auspicious, eligible, fit to eat, sagacious, able to speak, don't know)
  5. ANIMOSITY (hatred, animation, disobedience, diversity, friendship, don't know)
  6. PACT (puissance, remonstrance, agreement, skillet, pressure, don't know)
  7. CLOISTERED (miniature, bunched, arched, malady, secluded, don't know)
  8. CAPRICE (value, a star, grimace, whim, inducement, don't know)
  9. ACCUSTOM (disappoint, customary, encounter, get used to, business, don't know)
  10. ALLUSION (reference, dream, eulogy, illusion, aria, don't know)
Inferentie voor numerieke data in R

Distribution of vocabulary score

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

Histogram of wordsum

Inferentie voor numerieke data in R

Self identified social class: `class`

If you were asked to use one of four names for your social class, which would you say you belong in: the lower class, the working class, the middle class, or the upper class?

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

Bar plot of class

Inferentie voor numerieke data in R

Let's practice!

Inferentie voor numerieke data in R

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