TheoremBase

Moments and Stability of the Standard Normal Distribution

Statement

Let R\mathbb{R} be the set of real numbers and N\mathbb{N} the set of natural numbers.

Claim 1. Let ZZ be a standard normal random variable on a probability space. Then ZZ, Z2Z^{2}, and ∣Z∣3|Z|^{3} are integrable, and the expectation and variance satisfy

E[Z]=0,E[Z2]=Var⁡(Z)=1.\mathbb{E}[Z]=0,\qquad \mathbb{E}[Z^{2}]=\operatorname{Var}(Z)=1.

Claim 2. If Z1Z_1 and Z2Z_2 are independent standard normal random variables on a common probability space and a,ba,b are positive real numbers with a2+b2=1a^{2}+b^{2}=1, then aZ1+bZ2aZ_1+bZ_2 is a standard normal random variable.

Claim 3. If n∈Nn\in\mathbb{N} with n≥1n\ge 1 and Z1,…,ZnZ_1,\dots,Z_n are independent standard normal random variables on a common probability space, then (Z1+⋯+Zn)/n(Z_1+\cdots+Z_n)/\sqrt{n} is a standard normal random variable, where n\sqrt{n} denotes the positive square root of nn.

Proofs

Log in to submit a proof.

Loading...

Citations

Loading…

Dependencies

Loading…

Related

0 relations

Curated associations between results. These are editable and subjective — they do not replace the dependency graph, which is derived from the references in the text.

No relations recorded yet.

Comments

Log in to comment.

Loading…