In: Statistics and Probability
Consider the following table:
Defects in batch | Probability |
0 | 0.30 |
1 | 0.28 |
2 | 0.21 |
3 | 0.09 |
4 | 0.08 |
5 | 0.04 |
Find the standard deviation of this variable.
0.67 |
1.49 |
1.99 |
1.41 |
Question 5
(CO 4) Twenty-two percent of US teens have heard of a fax machine. You randomly select 12 US teens. Find the probability that the number of these selected teens that have heard of a fax machine is exactly six (first answer listed below). Find the probability that the number is more than 8 (second answer listed below).
0.993, 0.024 |
0.993, 0.000 |
0.024, 0.001 |
0.024, 0.000 |
Solution :
From given probability distribution table,
= X * P(X)
= 0 * 0.30 + 1 * 0.28 + 2 * 0.21 + 3 * 0.09 + 4 * 0.08 + 5 * 0.04
= 0 + 0.28 + 0.42 + 0.27 + 0.32 + 0.20
= 1.49
variance = X2 * P(X) - 2
= [02 * 0.30 + 12 * 0.28 + 22 * 0.21 + 32 * 0.09 + 42 * 0.08 + 52 * 0.04] - 1.492
= 0 + 0.28 + 0.84 + 0.81 + 1.28 + 1 - 2.2201
= 1.99
variance = 1.99
standard deviation = 1.99 = 1.41
The standard deviation of this variable is 1.41
5)
Solution
Given that ,
p = 22% = 0.22
1 - p = 1 - 0.22 = 0.78
n = 12
Using binomial probability formula ,
P(X = x) = ((n! / x! (n - x)!) * px * (1 - p)n - x
1)
P(X = 6) = ((12! / 6! (12 - 6)!) * 0.226 * (0.78)12 - 6
= ((12! / 6! (6)!) * 0.226 * (0.78)6
= 0.024
Probability = 0.024
2)
P(X > 8) = P(X = 9) + P(X = 10) + P(X = 11) + P(X = 12)
= ((12! / 9! (3)!) * 0.229 * (0.78)3 + ((12! / 10! (2)!) * 0.2210 * (0.78)2 +
((12! / 11! (1)!) * 0.2211 * (0.78)1 + ((12! / 12! (0)!) * 0.2212 * (0.78)0
= 0.000
Probability = 0.000
Answer : 0.024, 0.000