Front | Back |
Chi-square:
test? person? |
Test: Goodness of Fit
person: K. Pearson |
Foundations of statistics
Analysis of variance |
RA Fisher
|
Karl Pearson
|
Chi-square test
Correlation coefficient Applied Statistics |
Harold Hotelling
|
Multivariate statistics
Hotellings T-square distribution |
Jerzy Neyman
|
Scientific sampling
Confidence intervals The Neyman-Pearson lemma |
Abraham Wald
|
Sequential analysis
Decision theory Econometrics |
C.R. Rao
|
Foundations of statistics;
Multivariate statistics The Rao-Blackwell theorem The Cramer-Rao inequality |
John W. Tukey
|
Exploratory statistics
Fast Fourier transforms |
3 R's of Stats
|
Randomization
Replecation Refinement |
Margin of Error
|
1 / square root of n
n = sample size |
Addition Rule
|
P(A U B) = P(A) + P(B) - P(A /\ B)
|
Mutually exclusive
|
They have nothing in common;
P(A U B) = { } (empty set) |
Independent
|
If P(B | A) = P(B) , then A & B are _______________
OR If, P(A /\ B) = P(A) P(B) , then A & B are _____________. |
Multiplication Rule
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P (A /\ B) = P(A) P(B | A)
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Conditional probability
(given problems, ex. P(B | A) |
P(A /\ P(B)) / P(A)
|