This** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up*
This** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up*
This** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up*
This** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up*
This** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up*
This** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up*
This** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up*
This** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up*
This** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up*
This** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up*
**Unformatted text preview: **water Amount measured to nearest hundredths of an ounce. Amount measured to nearest ten thousands of an ounce. Limiting curve as the accuracy increases Continuous Probability Distributions P(x < a) = P(x ≤ a) P(x = a)=0 Normal probability distribution Standard Normal Distribution Normal Tables Normal Tables Using the Normal Tables • Find P(z < 0.46) Row labeled 0.4 Column labeled 0.06 P(z < 0.46) = 0.6772 Using the Normal Tables • Find P(z < -2.74) Row labeled -2.7 Column labeled 0.04 P(z < -2.74) = 0.0031 p.457 Normal Tables Normal Tables p.458 p. 458...

View
Full Document

- Spring '14
- Vidovic
- Economics, Normal Distribution, Probability theory, binomial random variable