October 2013
Intermediate to advanced
320 pages
8h 31m
English
Content preview from Communication for Continuous Improvement Projects
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246 Appendix
z
n
Test statisticmax 0,
nn
nn
1
2
1
2
4
12
12
=
−−
()
()
+
+
where z follows the standard normal distribution.
Distribution Functions-Parameter Estimation
Bernoulli
px
ˆ
=
Binomial
p
x
n
ˆ
=
where n is the number of trials
Discrete Uniform
ax
ˆ
min
i
=
bx
ˆ
max
i
=
Geometric
p
x
ˆ
1
1
=
+
Negative Binomial
p
k
x
ˆ
=
where k = the number of successes
Poisson
x
ˆ
β=
247Appendix
Beta
x
xx
s
ˆ
1
1
2
()
α=
−
−
x
xx
s
ˆ
1
1
1
2
()
()
β= −
−
−
Chi-Square
xd.f.
ν=
Erlang
α= α
β=
α
x
ˆ
round(
ˆ
from gamma)
ˆ
ˆ
Exponential
x
ˆ
1
β=
Note
System displays
1/
ˆ
β
.
F
ww
sw
ww
numd.f.:
ˆ
2
ˆ
4
ˆ
ˆ
2
ˆ
42
ˆ
32
2
2
2
()
()()
ν=
−
−−−
w
x
x
den. d. ...
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