꾸준하기 정말 어렵다...
그리고 갈수록 내용이 어렵네...
통계를 너무 까먹었나보다...
공부하자...

Lesson learned

• Chapter1

  • Sampling basics
  • Selection bias
  • Pseudo-random numbers

• Chapter2

  • Simple random sampling
  • Systematic sampling
  • Stratified sampling
  • Cluster sampling

• Chapter3

  • Sample size and population parameters
  • Creating sampling distribution
  • Approximate vs. actual sampling dist'ns
  • Central limit theorem

• Chapter4

  • Bootstrapping from a single sample
  • Standard error
  • Confidence intervals

• The most important thigs

  • The std. deviation of a bootstrap statistic is a good approximation of the standard error
  • Can assume bootstrap distributions are normally distributed for confidence intervals