What's More A. Construct a probability distribution for the data. 1. The probabilities that a surgeon operates on 3,4,5,6, or 7 patients in any one day are 0.15,0.20 ,0.25,0.20, and 0.20 respectively. 2. The probabilities that a customer buy 2,3,4,5, or 6 items in a convenience store are 0.32,0.12,0.23,0.18, and 0.15 respectively. 3. The probabilities that a student will borrow 1,2,3, or 4 books are 0.45,0.30,0.15, and 0.10, respectively. 4. The probabilities that a bias die will fall as 1,2,3,4,5 or 6 are 111 2' 6' 12' 12' 12 and respectively. 12"
What's More A. Construct a probability distribution for the data. 1. The probabilities that a surgeon operates on 3,4,5,6, or 7 patients in any one day are 0.15,0.20 ,0.25,0.20, and 0.20 respectively. 2. The probabilities that a customer buy 2,3,4,5, or 6 items in a convenience store are 0.32,0.12,0.23,0.18, and 0.15 respectively. 3. The probabilities that a student will borrow 1,2,3, or 4 books are 0.45,0.30,0.15, and 0.10, respectively. 4. The probabilities that a bias die will fall as 1,2,3,4,5 or 6 are 111 2' 6' 12' 12' 12 and respectively. 12"
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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What's more (letter A)
Answer only pls

Transcribed Image Text:What's More
A. Construct a probability distribution for the data.
1. The probabilities that a surgeon operates on 3,4,5,6, or 7 patients in any
one day are 0.15,0.20 ,0.25,0.20, and 0.20 respectively.
2. The probabilities that a customer buy 2,3,4,5, or 6 items in a convenience
store are 0.32,0.12,0.23,0.18, and 0.15 respectively.
3. The probabilities that a student will borrow 1,2,3, or 4 books are
0.45,0.30,0.15, and 0.10, respectively.
4. The probabilities that a bias die will fall as 1,2,3,4,5 or 6 are
11111
2612 12 12 and respectively.
5. The probabilities that a dispositor will invest Php 100,000, Php250,000., or
Php180,000 areand;, respectively.
What I Can Do
A. Find the expected value of each probability mass function below.
1.
1
2
3
P(x)
0.15
0.32
0.37
0.16
2.
1.
3
P(x)
0.17
0.33
0.36
0.14
3.
1
3.
P(x)
0.20
0.30
0.32
0.18
B. Find the variance and standard deviation of each of the following probability
distribution.
1.
2
3
P(x)
0.10
0.45
0.25
0.20
2.
3.
P(x)
0.15
0.38
0.33
0.14
18
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