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?
HINT: Experimental probability is similar to other probability. The favorable outcome in this case would be the defective light bulbs.

b. What is the best prediction of the number of defective strings of lights in a delivery of 1,000 strings of lights?

HINT: Create and solve a proportion, comparing the experimental probability and the delivery of 1,000 strings of lights. The string of lights part of the proportion will be x / 1000

• 6/25 ; 24 lights
• 1/40 ; 25 lights
• 6/25 ; 240 lights

Question

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?
HINT:  Experimental probability is similar to other probability.  The favorable outcome in this case would be the defective light bulbs.

b. What is the best prediction of the number of defective strings of lights in a delivery of 1,000 strings of lights?

HINT:  Create and solve a proportion, comparing the experimental probability and the delivery of 1,000 strings of lights.  The string of lights part of the proportion will be x / 1000

•	 6/25 ; 24 lights
•	 1/40 ; 25 lights
•	 6/25 ; 240 lights