In: Statistics and Probability
Eyeglassomatic manufactures eyeglasses for different retailers. The number of days it takes to fix defects in an eyeglass and the probability that it will take that number of days are in the table. Table #5.1.8: Number of Days to Fix DefectsNumber of daysProbabilities
1 24.9%
2 10.8%
3 9.1%
4 12.3%
5 13.3%
6 11.4%
7 7.0%
8 4.6%
9 1.9%
10 1.3%
11 1.0%
12 0.8%
13 0.6%
14 0.4%
15 0.2%
16 0.2%
17 0.1%
18 0.1%
State the random variable.
b.)Draw a histogram of the number of days to fix defects
c.)Find the mean number of days to fix defects.
d.)Find the variance for the number of days to fix defects
. e.)Find the standard deviation for the number of days to fix defects.
f.)Find probability that a lens will take at least 16 days to make a fix the defect.
g.)Is it unusual for a lens to take 16 days to fix a defect?
h.)If it does take 16 days for eyeglasses to be repaired, what would you think?
b)
c)
x | P(x) | xP(x) | x2P(x) |
1 | 0.249 | 0.249 | 0.249 |
2 | 0.108 | 0.216 | 0.432 |
3 | 0.091 | 0.273 | 0.819 |
4 | 0.123 | 0.492 | 1.968 |
5 | 0.133 | 0.665 | 3.325 |
6 | 0.114 | 0.684 | 4.104 |
7 | 0.07 | 0.490 | 3.430 |
8 | 0.046 | 0.368 | 2.944 |
9 | 0.019 | 0.171 | 1.539 |
10 | 0.013 | 0.130 | 1.300 |
11 | 0.01 | 0.110 | 1.210 |
12 | 0.008 | 0.096 | 1.152 |
13 | 0.006 | 0.078 | 1.014 |
14 | 0.004 | 0.056 | 0.784 |
15 | 0.002 | 0.030 | 0.450 |
16 | 0.002 | 0.032 | 0.512 |
17 | 0.001 | 0.017 | 0.289 |
18 | 0.001 | 0.018 | 0.324 |
total | 4.175 | 25.845 | |
E(x) =μ= | ΣxP(x) = | 4.1750 | |
E(x2) = | Σx2P(x) = | 25.8450 | |
Var(x)=σ2 = | E(x2)-(E(x))2= | 8.4144 | |
std deviation= | σ= √σ2 = | 2.901 |
mean number of days to fix defects =4.175
d)
variance =8.4144
e)
std deviation =2.901
f)
probability that a lens will take at least 16 days to make a fix the defec =P(X=16)+P(X=17)+P(X=18)
=0.002+0.001+0.001 =0.004
g)
Yes as this has probability of having less then 0.05
h)
we have reason to thick either the problem is complex or the problem is not being attended properly