To find the likelihood that a bulb purchased from Company X will burn for more than 1,500 hours, we can use the data from the test.
Out of the 2,500 bulbs tested, 2,200 bulbs lasted more than 1,500 hours.
The probability (likelihood) that a bulb will last more than 1,500 hours can be calculated using the formula:
\[ \text{Probability} = \frac{\text{Number of bulbs lasting more than 1,500 hours}}{\text{Total number of bulbs tested}} \]
Substituting the values:
\[ \text{Probability} = \frac{2,200}{2,500} \]
Now we do the division:
\[ \text{Probability} = 0.88 \]
Therefore, the likelihood that a bulb purchased from Company X will burn for more than 1,500 hours is 0.88.