note: this is mars from 11th september. from 13th june and onwards it is only now i've started catching up on the blogs of these dates. from that information you can probably tell i already started becoming burnt out due to my ambitious nature of trying to be super productive during this summer. however, i did get some boxes of my summer to-do list done so there's that :3

daily language quests

starting slow, i only did my hiragana drills again instead of the tedious language trilogy of studies again

datacamp: sampling in python

i was able to get through half of this course today before getting tired of it (statistics in a-level maths wasn't exactly my favourite). from 15.01 to 17.27, here are my notes for today:

chapter 1: introduction to sampling

• sampling and point estimates
  • census - contacting every household and asking how many people live there
  • population - complete dataset
  • sample - subset of data being worked with
  • population parameter - calculation made on the population dataset
• convenience sampling
  • convenience sampling - collecting data by the easiest method
• pseudo-random number generation
  • cheap and fast
  • next random number is calculated from previous random number
  • first ‘random’ number is generated from a seed

chapter 2: sampling methods

• simple random and systematic sampling
  • systematic sampling is only safe if there isn’t a pattern in the scatter plot
• cluster sampling
  • use simple random sampling to pick some subgroups and only use them