1 No. 2 3 4 Binomial Prob. X n P Answer 5 6 4 7 8 9 10 12345678 8 3 4 2 2552 10 0.7 0.233 0.3 0.132 7 0.6 0.290 20 0.02 0.053 150 1000 0.15 0.035 8 7 10 0.7 0.383 11 9 3 5 0.3 0.132 12 10 4 7 0.6 0.290 13 Poisson Probability 14 X lambda Answer 18 4 19 20 21 22 23 9 15 16 17 3 1234567829 3 2 0.180 2 1.5 0.251 12 10 0.095 5 3 0.101 7 4 0.060 3 2 0.180 2 1.5 0.251 24 10 12 10 0.095
1 No. 2 3 4 Binomial Prob. X n P Answer 5 6 4 7 8 9 10 12345678 8 3 4 2 2552 10 0.7 0.233 0.3 0.132 7 0.6 0.290 20 0.02 0.053 150 1000 0.15 0.035 8 7 10 0.7 0.383 11 9 3 5 0.3 0.132 12 10 4 7 0.6 0.290 13 Poisson Probability 14 X lambda Answer 18 4 19 20 21 22 23 9 15 16 17 3 1234567829 3 2 0.180 2 1.5 0.251 12 10 0.095 5 3 0.101 7 4 0.060 3 2 0.180 2 1.5 0.251 24 10 12 10 0.095
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 22E
Related questions
Question
What is Poisson probability? What are 3 characteristics of Poisson probability?
What are 2 business applications of Poisson probability?
Calculate the Poisson probability for the following data.
- x = 3, lambda = 2
- x = 2, lambda = 1.5
- x = 12, lambda = 10
For the problem statements starting from question 6 onward, exercise caution when entering data into Microsoft Excel. It's essential to carefully evaluate which value represents x and which represents λ.
- A call center receives an average of 3 calls per minute. What is the probability that exactly 5 calls are received in a given minute?
- On average, 4 patients arrive at an emergency room every hour. What is the probability that exactly 7 patients will arrive in the next hour?
- A production line produces an average of 2 defective items per hour. What is the probability that exactly 3 defective items will be produced in the next hour?
- An intersection experiences an average of 1.5 accidents per month. What is the probability that there will be exactly 2 accidents in a month?
- An employee receives an average of 10 emails per hour. What is the probability that they will receive exactly 12 emails in the next hour?

Transcribed Image Text:1 No.
2
3
4
Binomial Prob.
X
n
P
Answer
5
6 4
7
8
9
10
12345678
8
3
4
2
2552
10
0.7
0.233
0.3
0.132
7
0.6
0.290
20
0.02
0.053
150
1000
0.15
0.035
8
7
10
0.7
0.383
11
9
3
5
0.3
0.132
12
10
4
7
0.6
0.290
13
Poisson Probability
14
X
lambda
Answer
18 4
19
20
21
22
23 9
15
16
17 3
1234567829
3
2
0.180
2
1.5
0.251
12
10
0.095
5
3
0.101
7
4
0.060
3
2
0.180
2
1.5
0.251
24 10
12
10
0.095
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