Youtubedia
Probability theory and statistics
Chapter 6
Sample and statistic
Sample as a sequence of random variables
Statistic
Important distributions
The chi-square distribution
The t-distribution
The F-distribution
Critical values
Properties of the sample mean and the sample variance
Properties of the sample mean
Properties of the sample variance
Theory of estimators
Estimator
Unbiased estimator
Efficiency
Large-sample properties of estimators
Convergence in probability
Consistency
Plim-rules
Convergence in distribution
Vector-valued estimator
Vector-valued estimator
Toggle Sidebar
Chapter 6
Previous page
Next page
The t-distribution
Like
Summary
If
Z
∼
N
(
0
,
1
)
,
Y
∼
χ
2
k
and
Z
and
Y
are independent random variables, then we say that
T
=
Z
√
Y
/
k
follows a t-distribution with
k
degrees of freedom and we write
T
∼
t
k