{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Chp8-lecture_notes_normal_distribution

Chp8-lecture_notes_normal_distribution - Module 8 The...

This preview shows pages 1–6. Sign up to view the full content.

Module 8 The Normal Distribution Assessing Likelihood with Continuous Distributions Objectives: One should be able to determine the probability distribution for normal random variables work with standardized values assess normality approximate binomial probabilities using the normal distribution Some Starting Ideas Continuous Random Variable – a random variable whose possible values form an infinite set of possibilities. probability distributions are represented by curves probability is associated with the area bounded by the curve

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
-4 -3 -2 -1 0 1 2 3 4 Normal Distribution: Bell shaped Total area bounded by curve equals 1 Completely determined by the mean and standard deviation (or variance) N(0,1) denotes mean = 0, std dev = 1 + - -4 -3 -2 -1 0 1 2 3 4 68%, ±1 σ 95%, ±2 σ 99.7%, ±3 σ 0.15% 0.15% Empirical Rule of the Normal Distribution + - Three Normal Distributions Three Normal Distributions A B C
Cumulative Standard Normal Table A: A: - < Z < 0 B: 0 B: 0 < Z < + Prob Prob : 0 to .5 .5 to 1.0 .5

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Normal Probabilities using Minitab Normal Probabilities using Minitab
P(-1.23 < Z < 2.05) -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 4.0 0 Z 2.05 What proportion of Z values are between –1.23 and +2.05?

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

Page1 / 13

Chp8-lecture_notes_normal_distribution - Module 8 The...

This preview shows document pages 1 - 6. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online