The probability of obtaining a defective 10-year old widget is
68.9%. For our purposes, the random variable will be the number of
items that must be tested before finding the first defective
10-year old widget. Thus, this procedure yields a geometric
distribution.
Use some form of technology like Excel or StatDisk to find the
probability distribution.
(Report answers accurate to 4 decimal places.)
k | P(X = k) |
---|---|
1 | |
2 | |
3 | |
4 | |
5 | |
6 or greater |
Solution:
For the given geometric distribution, we are given
p = 0.689
q = 1 – p = 1 – 0.689 = 0.311
P(X=k) = p*q^(k – 1)
P(X=1) = 0.689*0.311^(6 - 1) = 0.00200457
P(X=2) = 0.689*0.311^(6 - 2) = 0.006445562
P(X=3) = 0.689*0.311^(6 - 3) = 0.020725279
P(X=4) = 0.689*0.311^(6 - 4) = 0.066640769
P(X=5) = 0.689*0.311^(6 - 5) = 0.214279
P(X≤6) = 1 – P(X≤5) = 1 – (0.00200457 + 0.006445562 + 0.020725279 + 0.066640769 + 0.214279)
P(X≤6) = 1 - 0.31009518
P(X≤6) = 0.68990482
The table is given as below:
k |
P(X=k) |
1 |
0.0020 |
2 |
0.0064 |
3 |
0.0207 |
4 |
0.0667 |
5 |
0.2143 |
6 or more |
0.6899 |
Total |
1.0000 |
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