Unit 1b

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1
what is the multiplication counting prcinicple
multiply outcomes of events to get a total
2
formula for muiplication counting principal
evant a = x, event b = y, event c = z;

x*y*z*...
3
permutation
number of ways we can arrrange something (order matters)
4
formula for permutaion (calc)
nPr
5
formula for permutation (no calc)
n!/(n-r)!
6
0!
1
7
keywords for permutations
+positions, places, first, second, third, prez, vice, prez, gold silver, broze
8
combinations
number of ways we can group something (order no matter)
9
form for comb (calc)
nCr
10
form for comb (no calc)
n!/(r!)(n-r)!
11
keywords for combinations
groups,committe,
12
p(a n b) =
p(A) * p(b)
13
p(a u b)
p(a) + p (b)
14
,utually exclusive of p(a u b)
p(a) + p(b) - p(a n b)
15
p(x=x) =
1
16
another word for expected value is mean or average also
the average value / mean
17
E(x) =
Sum of x (P(X=x) (number of times x is happening multiplied by the probablility of X happening)
18
E(aX)
aE(x)
19
E(X+b)
E(x)+b
20
E(ax+b)
AE(x)+b
21
Var(x)
E(x^2)-[E(x)]^2

and

Sum of (x^2) * P(X=x) - [E(x)]^2
22
what is variance
measure of spread of data
23
standard dev =
sqrt Variance
24
Var(aX) =
a^2*Var(x)
25
Var(x+b)
Var(x)
26
Var(ax+b)
a^2*Var(x)
27
When E(x) = ___ , it is fair
0
28
Binomial Distibution Form
nCx (p)^x (1-p)^n-x
29
in binom distrib e(x)
np
30
in binom distri var(x)
np(1-p)
31
bpdf is
exact prob
32
bicdf
less than or equal to
33
finding z scores
inv norm
34
finding probabilites
normal cdf
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