Mindmap
Stats

Inhalt der Mindmap
Stats
Sets & Probability
- De Morgan's Laws
- Disjoint
- Can't Occur Simultaneously
- Conditional
- A "Given" B etc
- Bayes Theorem
- Independence
Variables
- Discrete Random
- Finite Number of Values
- Distributions
- Bernoulli[Binomial]...Success/Failure
- Geometric
- Poisson
- Prob. Mass Function
- Continuous Random
- Distributions
- Prob. Density Function
- Uniform
- Exponential
- Distributions
- Discrete Random
Normal Distribution
- N([mew],[sigma]^2)
- If X~N([mew],[sigma]^2)...Range of X=(Real)
- P(0.36<Z<1.04)
- P(Z>P80)=.02...
- P(X>78)
- Must Use Equation to Find Z-score: Z=(X-[mew])/[sigma]
- "Normal" = N(0,1)
- N([mew],[sigma]^2)
Models
Confidence
- 2 Controlling Parameters of Normal Distribution: ->Confidence Intervals ->Sample Size
- Z(alpha) = Critical Value =>Sets the level of Confidence
- Proportional CI
- Sample Of Pop instead of Whole Pop
- Hypothesis Testing
- Null Hypothesis = Ho
Bilder und Dateien der Mindmap
Informationen
- Beschreibung
- College Stats Mindmap am Stats, erstellt von danny.cashin am 21/04/2014.
- Erstellt von
- danny.cashin
- Aufrufe
- 13
- Bewertung