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Question
eyeglassomatic manufactures eyeglasses for different retailers. they test to see how many defective lenses they made in a time period. the following table gives the type of defect and the number of lenses with that defect. assume categories are mutually exclusive.
| defect type | frequency |
|---|---|
| right shaped - small | 4595 |
| flaked | 1217 |
| wrong axis | 1754 |
| chamfer wrong | 1350 |
| crazing, cracks | 1574 |
| wrong shape | 1266 |
| wrong pd | 1761 |
| spots and bubbles | 1748 |
| wrong height | 1301 |
| right shape - big | 1541 |
| lost in lab | 989 |
| spots/bubbles - intern | 984 |
a) find the probability that a randomly selected defect from the table will be in the categor \wrong shape\ or the category \scratch\.
give your answer as a fraction.
give your answer rounded to three decimal places.
b) find the probability that a randomly selected defect is not in the category \wrong shape\.
given your answer as a fraction.
give your answer rounded to three decimal places.
question help: video 1 video 2 message instructor
Step1: Calculate total number of defects
Sum up all frequencies.
$5863 + 4595+1217 + 1754+1350+1574+1266+1761+1748+1301+1541+989+984$
$= 25943$
Step2: Calculate number of "Wrong shape" and "Scratch" defects
Add frequencies of "Wrong shape" and "Scratch".
$1266+5863 = 7129$
Step3: Calculate probability for part a
Probability is number of favorable outcomes over total outcomes.
Fraction: $\frac{7129}{25943}$
Rounded to three - decimal places: $\frac{7129}{25943}\approx0.275$
Step4: Calculate probability for part b
Probability of not "Wrong shape" is 1 minus probability of "Wrong shape".
Number of "Wrong shape" defects is 1266.
Probability of "Wrong shape" is $\frac{1266}{25943}$.
Probability of not "Wrong shape":
Fraction: $1-\frac{1266}{25943}=\frac{25943 - 1266}{25943}=\frac{24677}{25943}$
Rounded to three - decimal places: $\frac{24677}{25943}\approx0.951$
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a) $\frac{7129}{25943}$, $0.275$
b) $\frac{24677}{25943}$, $0.951$