The inequality P(3 ≤ x ≤ 5) contains the x-values 3, 4, and 5. We can use Table 2 to find the cumulative probability P(x ≤ 5), which contains the x-values 0, 1, 2, 3, 4, and 5. To get to P(3 ≤ x ≤ 5), we need to subtract the x-values 0, 1, and 2, or P(x s [ from the list. Rewrite P(3 ≤ x ≤ 5) in terms of two separate cumulative probabilities. P(3 ≤ x ≤ 5) = P(x ≤ 5) - P(x s
The inequality P(3 ≤ x ≤ 5) contains the x-values 3, 4, and 5. We can use Table 2 to find the cumulative probability P(x ≤ 5), which contains the x-values 0, 1, 2, 3, 4, and 5. To get to P(3 ≤ x ≤ 5), we need to subtract the x-values 0, 1, and 2, or P(x s [ from the list. Rewrite P(3 ≤ x ≤ 5) in terms of two separate cumulative probabilities. P(3 ≤ x ≤ 5) = P(x ≤ 5) - P(x s
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Table 2 Cumulative Poisson Probabilities
Tabulated values are P(x = k) = = p(0) + p(1) + • • • + p(k).
(Computations are rounded to the third decimal place.)
k
0
1
2
3
4
5
6
7
k
0
1
2
3
4
5
CASO INMH7
6
7
8
9
10
11
12
13
14
15
16
17
.1
.905
.995
1.000
2.0
.135
.406
.677
.857
.947
.983
.995
.999
1.000
.2
.819
.982
.999
1.000
2.5
.082
.287
.544
.758
.891
.958
.986
.996
.999
1.000
.3
.741
.963
.996
1.000
3.0
.050
.199
.423
.647
.815
.916
.966
.988
.996
.999
1.000
.4
.670
.938
.992
.999
1.000
3.5
.033
.136
.321
.537
.725
.858
.935
.973
.990
.997
.999
1.000
.5
.607
.910
.986
.998
1.000
4.0
.018
.092
.238
.433
.629
.785
.889
.949
.979
.992
.997
.999
1.000
μl
.6
.549
.878
.977
.997
1.000
μ
4.5
.011
.061
.174
.342
.532
.703
.831
.913
.960
.983
.993
.998
.999
1.000
.7
.497
.844
.966
.994
.999
1.000
5.0
.007
.040
.125
.265
.440
.616
.762
.867
.932
.968
.986
.995
.998
.999
1.000
.8
.449
.809
.953
.991
.999
1.000
5.5
.004
.027
.088
.202
.358
.529
.686
.809
.894
.946
.975
.989
.996
.998
.999
1.000
.9
.407
.772
.937
.987
.998
1.000
6.0
.003
.017
.062
.151
.285
.446
.606
.744
.847
.916
.957
.980
.991
.996
.999
.999
1.000
1.0
.368
.736
.920
.981
.996
.999
1.000
6.5
.002
.011
.043
.112
.224
.369
.563
.673
.792
.877
.933
.966
.984
.993
.997
.999
1.000
1.5
.223
.558
.809
.934
.981
.996
.999
1.000
7.0
.001
.007
.030
.082
.173
.301
.450
.599
.729
.830
.901
.947
.973
.987
.994
.998
.999
1.000
Transcribed Image Text:Step 5
rp(xs)
The inequality P(3 ≤ x ≤ 5) contains the x-values 3, 4, and 5. We can use Table 2 to find the cumulative probability P(x ≤ 5), which contains the x-values 0, 1, 2, 3, 4, and 5. To get to P(3 ≤ x ≤ 5), we need to subtract the x-values 0, 1, and 2, or P x ≤
from the list.
Rewrite P(3 ≤ x ≤ 5) in terms of two separate cumulative probabilities.
P(3 ≤ x ≤ 5) = P(x ≤ 5) – Px ≤
-
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