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A standardized test given to 10,000 students had scores normally distributed. Al scored 648 . The mean was 518 and the standard deviation was 130 . About how many students scored below him? 5000 8400 3400 6480 none of these

Ask by Parry Hampton. in the United States
Dec 07,2024

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Answer

Al's z-score is 1, which corresponds to about 84.13% of students scoring below him. Out of 10,000 students, approximately 8400 scored below him.

Solution

To determine how many students scored below Al, we first need to calculate his z-score using the formula: \[ z = \frac{(X - \mu)}{\sigma} \] where: - \(X\) is Al's score (648), - \(\mu\) is the mean score (518), - \(\sigma\) is the standard deviation (130). Plugging in the values: \[ z = \frac{(648 - 518)}{130} = \frac{130}{130} = 1 \] Next, we can use the z-score to find the percentage of students who scored below Al. A z-score of 1 corresponds to a percentile of approximately 84.13% in a standard normal distribution. To find the number of students who scored below Al, we can calculate: \[ \text{Number of students below Al} = \text{Total students} \times \text{Percentile} \] Given that there are 10,000 students: \[ \text{Number of students below Al} = 10,000 \times 0.8413 \approx 8413 \] Since we are looking for an approximate number, we can round this to 8400. Thus, the answer is **8400**.

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To find out how many students scored below Al, we need to determine his percentile. First, calculate the z-score using the formula: \( z = \frac{(X - \mu)}{\sigma} \), where \( X \) is Al's score (648), \( \mu \) is the mean (518), and \( \sigma \) is the standard deviation (130). Calculating the z-score yields: \( z = \frac{648 - 518}{130} \approx 1.00 \). Using the standard normal distribution table, a z-score of 1.00 corresponds to about 84.13%. Thus, approximately 8,410 students scored below Al. The closest answer choice is 8400. To put it in context, scoring in the 84th percentile means Al performed better than roughly 84% of the test-takers, justifying why he’s in the top group. It’s always interesting to see how scores can reflect student performance and competitiveness on standardized tests!

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