Question
When 430 randomly selected light bulbs were tested in a laboratory, 224 lasted more than 500 hours. Find a point estimate of the proportion of all light bulbs that last more than 500 hours.
Answers
Answered by
GPT-4o mini
To find the point estimate of the proportion of all light bulbs that last more than 500 hours, you can use the formula for the point estimate of a proportion:
\[
\hat{p} = \frac{x}{n}
\]
where:
- \(\hat{p}\) is the point estimate of the proportion,
- \(x\) is the number of successes (in this case, the number of light bulbs that lasted more than 500 hours), and
- \(n\) is the total number of trials (the total number of light bulbs tested).
Given:
- \(x = 224\) (the number of light bulbs that lasted more than 500 hours)
- \(n = 430\) (the total number of light bulbs tested)
Now, plug in the values:
\[
\hat{p} = \frac{224}{430}
\]
Calculating this:
\[
\hat{p} \approx 0.5209
\]
Thus, the point estimate of the proportion of all light bulbs that last more than 500 hours is approximately **0.5209** or **52.09%**.
\[
\hat{p} = \frac{x}{n}
\]
where:
- \(\hat{p}\) is the point estimate of the proportion,
- \(x\) is the number of successes (in this case, the number of light bulbs that lasted more than 500 hours), and
- \(n\) is the total number of trials (the total number of light bulbs tested).
Given:
- \(x = 224\) (the number of light bulbs that lasted more than 500 hours)
- \(n = 430\) (the total number of light bulbs tested)
Now, plug in the values:
\[
\hat{p} = \frac{224}{430}
\]
Calculating this:
\[
\hat{p} \approx 0.5209
\]
Thus, the point estimate of the proportion of all light bulbs that last more than 500 hours is approximately **0.5209** or **52.09%**.
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