A Lights-A-Lot quality inspector examines a sample of 25 strings of lights and finds that 6 are defective.
a. What is the experimental probability that a string of lights is defective?
b. What is the best prediction of the number of defective strings of lights in a delivery of 1,000 strings of lights?
3/500; 6 lights
6/25; 24 lights
1/40; 25 lights
6/25; 240 lights ***
Ah! Thank you! :) Can you help me on one more?
Find the experimental probability of tossing heads.
There are five heads and ten tails
a. 5/8
b. 1/3
c. 2/3
d. 2
The answer would be c. There are ten tails, and There are a total of 15 heads and tails. So the probability fraction would be 10/15, which simplifies to 2/3
Sorry it would actually be b, because you are looking for heads so it would be 5/15 which equals 1/3
I don’t get how you did it for this question Lights-A-Lot quality inspector examines a sample of 30 strings of lights and finds that 8 are defective.
a. What is the experimental probability that a string of lights is defective?
b. What is the best prediction of the number of defective strings of lights in a delivery of 400 strings of lights?