| << Chapter < Page | Chapter >> Page > |
Card 14 / 14:
z-score
the linear transformation of the form z = x – μ σ ; if this transformation is applied to any normal distribution X ~ N ( μ , σ ) the result is the standard normal distribution Z ~ N (0,1). If this transformation is applied to any specific value x of the RV with mean μ and standard deviation σ , the result is called the z -score of x . The z -score allows us to compare data that are normally distributed but scaled differently.
| Previous Card | ← Previous Card Button |
| Next Card | → Next Card Button |
| Flip Card | ↑ / ↓ / Return / Space |
Notification Switch
Would you like to follow the 'Introductory statistics' conversation and receive update notifications?
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|