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1
1
Chap 4:
Normal
Distribution
Chapter 4
2
Summary of Chap 3
3.1
S
imple random sample,
3.2
Probability Calculation
–
Frequency interpretation
–
Probability tree
– for categorical variable
z
How to calculate Pr(Y=yi) = ?
–
probability rule
–
3.3. Interpretation of Density Curve
– for continuous variable
z
How to calculate Pr( a<Y<b) = ?
3.4
Random Variable – E(Y), Var(Y)=
σ
2
y
, SD(Y)=
σ
y
3.5
Binomial distribution
–
distribution formula, examples, probability calculation.
–
Mean (expectation), Variance, and standard deviation.
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3
Content Flow Chart
Probability
Binary Outcomes (Y: 0, 1)
Example
Æ
Chap.3
Binomial Distribution
Continuous Outcomes (Y)
Example
Æ
Chap.4
Normal Distribution
Random Variable
4
Outline of Chap 4
4.1 – introduction and formula
4.2 – shapes
4.3 – Standard Normal
The standardized Scale
4.4. – Areas under the curve, and how to
use Table 3 at Page 675676, and
examples for two applications,
including inverse reading.
4.5 – checking normality.
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This note was uploaded on 12/09/2010 for the course BIOL 442 taught by Professor Brewster,r during the Spring '08 term at UMBC.
 Spring '08
 Brewster,R
 Developmental Biology

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