# 5.4.1. Experimental Probability

An electric lamps manufacturing company keeps track of a sample of 1000 lamps of its production to determine the lifespan of their product. The following table shows the data acquired:

 H (Maximum Working Hours) Number of Lamps Less than 150 150 H 400 400 H 1000 More than 1000 150 320 270 260

What is the probability of a bulb failing before 150 working hours?

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### Example

An electric lamps manufacturing company keeps track of a sample of 1000 lamps of its production to determine the lifespan of their product. The following table shows the data acquired:

 H (Maximum Working Hours) Number of Lamps Less than 150 150 H 400 400 H 1000 More than 1000 150 320 270 260

What is the probability of a bulb failing before 150 working hours?

### Solution

To find the probability of a bulb failing before 150 hours, divide the number of lamps with fewer than 150 working hours () by the total number of lamps in the sample.

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