6. Estimation and Uncertainty Flashcards
R command to find z(α/2)
qnorm(1 - α/2, 0, 1)
This is the critical value when dealing with a standard normal distribution.
Confidence interval for μ where σ^2 is known
x(bar) +- z(α/2) σ/sqrt(n)
Confidence Interval for a Proportion
p(hat) +- z(α/2) sqrt( p(hat)(1 - p(hat)) / n)
Bias
B(θ^, θ) = E(θ^) - θ
Consistency (2 ways)
θ^n is consistent if for any ε>0,
lim(n -> infty) P( | θ^n - θ |
Confidence Interval with t distribution
Use this when population variance is unknown and the sample is small:
x(bar) +- s/sqrt(n) t(n-1, α/2)
where s is sample s.d.
R command to find critical value using chi-squared distribution
qchisq(α, v)
R command to find critical value using t distribution
qt(1 - α/2, v)
Confidence Interval using chi-squared distribution
Chi-squared dist is used for estimating variance.
sqrt(a)S