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The probability that bulbs selected rand...

The probability that bulbs selected randomly from the lot has life less than 900 h, is

A

`11/40`

B

`5/16`

C

`7/16`

D

`9/16`

Text Solution

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The correct Answer is:
To solve the problem of finding the probability that bulbs selected randomly from the lot have a life of less than 900 hours, we can follow these steps: ### Step 1: Understand the problem We need to find the probability of selecting bulbs with a lifetime of less than 900 hours from a total of 80 bulbs. ### Step 2: Gather the data From the frequency table provided in the problem, we need to identify how many bulbs have a lifetime of less than 900 hours. ### Step 3: Count the favorable outcomes According to the video transcript, the number of bulbs with a lifetime less than 900 hours is: - 23 bulbs with a lifetime of 800 hours - 12 bulbs with a lifetime of 700 hours - 10 bulbs with a lifetime of 600 hours Adding these together gives: \[ 23 + 12 + 10 = 45 \] So, there are 45 favorable outcomes (bulbs with a lifetime less than 900 hours). ### Step 4: Identify the total number of outcomes The total number of bulbs in the lot is given as 80. ### Step 5: Calculate the probability The probability \( P \) of selecting a bulb with a lifetime of less than 900 hours is calculated using the formula: \[ P(\text{life} < 900) = \frac{\text{Number of favorable outcomes}}{\text{Total number of outcomes}} \] Substituting the values we have: \[ P(\text{life} < 900) = \frac{45}{80} \] ### Step 6: Simplify the fraction To simplify \( \frac{45}{80} \): - Divide both the numerator and the denominator by their greatest common divisor (GCD), which is 5: \[ \frac{45 \div 5}{80 \div 5} = \frac{9}{16} \] ### Final Answer Thus, the probability that a randomly selected bulb has a life of less than 900 hours is: \[ \frac{9}{16} \] ---

To solve the problem of finding the probability that bulbs selected randomly from the lot have a life of less than 900 hours, we can follow these steps: ### Step 1: Understand the problem We need to find the probability of selecting bulbs with a lifetime of less than 900 hours from a total of 80 bulbs. ### Step 2: Gather the data From the frequency table provided in the problem, we need to identify how many bulbs have a lifetime of less than 900 hours. ...
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