CHAPTER12
Dat a Analysis
and Probabilit y
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12-1 Organizing Data Using Matrices^1 Data Collection and Analysis
12-2 Fr e q u e n c y an d H i st o g r am s Esse n t i a l Q u e st i o n H o w can co l l ect i n g
12- 3 Measures of Central Tendency and and an alyzi n g d at a help you m ake
Dispersion decisions or predictions?
12- 4 Bo x- an d - W h i sker Pl o t s 2 Data Representation
12- 5 Sa m p l e s an d Su r v e y s Es s e n t i a l Q u e s t i o n H o w can y o u m ak e
12-6 Per m u t at i o n s an d Co m b i n at i o n s and i n t er p r et d i f f er en t rep resent at io n s
12- 7 Th eo r et i cal and Exp er i m en t al of data?
Pr o b ab i l i t y 3 Pr o b a b i l i t y
12-8 Pr o b ab i l i t y o f Co m p o u nd Even t s Esse n t i a l Q u e st i o n H o w is p r o b ab i l i t y
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combi nat i o n, p. 765
event , p. 769
matrix, p. 726
measure of central
tendency, p. 738
outcome, p. 769
outlier, p. 738probability, p. 769
quartile, p. 746combi nacion
su ceso
matrizmedida de tendencia central
resultado
valor extremo
permutation, p. 763 _ permutacion
jprobabilidad
cuar t i l es
sam p l e sp ace, p. 769 espacio de muestraDOMAINS- Interpreting Cat egorical and Quantitative Dat
- Making Inferences and Justifying Conclusions
- Conditional Probability and the Rules of
Pr o b ab i l i t y
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