Week 1
Population distribution = includes the whole population
Sample distribution = a sample from the population
Sampling distributions = many samples together
Sample Population Description
statistic parameter
x̅ μ or μx mean
M or Med - median
s or Sx σ or σx standard deviation for variance, apply
a squared symbol (s² or σ²).
r ρ “rho”rho” coefficient of linear correlation
Week 2
Random variables: continuous (infinite number of values) & discrete (finite number of
values)
Law of large numbers: the larger the sample, the more probable x̅ approximates μ.
- Variance = weighted sum of squared deviations from mean
Population distribution = includes the whole population
Sample distribution = a sample from the population
Sampling distributions = many samples together
Sample Population Description
statistic parameter
x̅ μ or μx mean
M or Med - median
s or Sx σ or σx standard deviation for variance, apply
a squared symbol (s² or σ²).
r ρ “rho”rho” coefficient of linear correlation
Week 2
Random variables: continuous (infinite number of values) & discrete (finite number of
values)
Law of large numbers: the larger the sample, the more probable x̅ approximates μ.
- Variance = weighted sum of squared deviations from mean
