Kya: Blog of BFFL's. Please take the hood part seriously & enjoy yo' pimpin' ride. The posts are of common interests we have, common jokes we think are funny, things we can both relate to, trippy blasts from the pasts which bring us back to some good times in "tha hood". Hope you can love it as we love each other :D One love!

Dani: Sleep overs, night walks, 2am d&ms & hitting up Hoyts with a bucket of chicken in my handbag doesn't happen enough. This blog lets us laugh at & share things we can't in public lol. Peace <3

Logistical Regression

numerical is at X

categorical is at Y

Location is the mean, mode or median.
When commenting on a bar graph mention shape, location and spread. when side-by-side box-plots, just location and spread obvi. Box-plots we talk about differences in median and IQR.

Spread

  1. IQR = insensitive to outliers, difference between Q1 and Q3, 50% of data
  2. SD = sensitive to outliers

p.s. Q1 has 75% of the data above it and 25% of the below it

Q2 has 50% above and below

Q3 has 25% above and 75% below

Shape

  • skewed to right; mean > median
  • skewed to left; median > mean
  • skewed tests: median, IQR used
  • non-skewed (at centre): mean, SD used

Charts Used

Ordinal: bar

Nominal: parieto

Continuous: histogram/box plot

Discrete: bar 

             histogram (if using a large number of data)

Types of Data

Categorical: 

Ordinal - e.g. small, medium, large

Numerical: 

Continuous - exist within a range. ‘measured’ e.g. years, temp, weight, time

Discrete - specific value. ‘counted’

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