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SAT Scores The SAT is an exam used by colleges and universities to evaluate undergraduate applicants. The test scores are normally distributed. In a recent year, the mean test score was 1509 and the standard deviation was 312 . The test scores of four students selected at random are 1924, 1241,2202, and 1392. (Source: The College Board)

Ask by Boyd Mitchell. in the United States
Jan 22,2025

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The SAT scores are normally distributed with a mean of 1509 and a standard deviation of 312. The four students scored 1924, 1241, 2202, and 1392. - The first student scored approximately 1.33 standard deviations above the mean. - The second student scored approximately 0.86 standard deviations below the mean. - The third student scored approximately 2.22 standard deviations above the mean. - The fourth student scored approximately 0.38 standard deviations below the mean. These z-scores indicate the relative performance of each student compared to the overall SAT test-taker population.

Solution

Certainly! Let's analyze the SAT scores you've provided using the principles of normal distribution. Here's a step-by-step breakdown: ### **Given Information:** - **Mean (μ):** 1509 - **Standard Deviation (σ):** 312 - **Sample Scores:** 1924, 1241, 2202, 1392 ### **1. Understanding the Normal Distribution:** The SAT scores are normally distributed, which implies that most students score around the mean, and the probabilities of scoring significantly higher or lower than the mean decrease symmetrically. ### **2. Calculating Z-Scores:** A **z-score** indicates how many standard deviations an element is from the mean. The formula for calculating a z-score is: \[ z = \frac{{X - \mu}}{{\sigma}} \] Where: - \( X \) = individual's score - \( \mu \) = mean score - \( \sigma \) = standard deviation Let's calculate the z-scores for each of the four students: | **Student** | **Score (X)** | **Z-Score Calculation** | **Z-Score (z)** | |-------------|---------------|--------------------------|------------------| | 1 | 1924 | (1924 - 1509) / 312 | 415 / 312 ≈ **1.33** | | 2 | 1241 | (1241 - 1509) / 312 | -268 / 312 ≈ **-0.86** | | 3 | 2202 | (2202 - 1509) / 312 | 693 / 312 ≈ **2.22** | | 4 | 1392 | (1392 - 1509) / 312 | -117 / 312 ≈ **-0.38** | ### **3. Interpreting the Z-Scores:** - **Z-Score = 1.33 (1924):** - **Interpretation:** This score is 1.33 standard deviations **above** the mean. - **Percentile:** Approximately the 91st percentile. This means the student scored better than about 91% of test-takers. - **Z-Score = -0.86 (1241):** - **Interpretation:** This score is 0.86 standard deviations **below** the mean. - **Percentile:** Approximately the 19th percentile. This means the student scored better than about 19% of test-takers. - **Z-Score = 2.22 (2202):** - **Interpretation:** This score is 2.22 standard deviations **above** the mean. - **Percentile:** Approximately the 98.7th percentile. This indicates an exceptionally high score, better than about 98.7% of test-takers. - **Z-Score = -0.38 (1392):** - **Interpretation:** This score is 0.38 standard deviations **below** the mean. - **Percentile:** Approximately the 35th percentile. This means the student scored better than about 35% of test-takers. ### **4. Visual Representation:** To better understand where these scores lie on the normal distribution curve, here's a simple representation: ``` Left Tail Mean (1509) Right Tail <--|---------|---------|---------|---------|---------|--> -2σ -1σ 0 +1σ +2σ ≈ 900 1200 1500 1800 2100 Student Scores: 1241 (-0.86σ), 1392 (-0.38σ), 1924 (+1.33σ), 2202 (+2.22σ) ``` ### **5. Implications for College Admissions:** - **Higher Scores (Above Mean):** - Students with scores like 1924 and 2202 are likely to be competitive candidates, especially in selective colleges. - A score of 2202 places a student in a very high percentile, which can be advantageous for scholarships and honors programs. - **Scores Around or Below Mean:** - A score of 1241 is below average, which might require supplementary materials or a strong overall application to enhance competitiveness. - A score of 1392 is slightly below the mean but still within a reasonable range for many institutions. ### **6. Additional Considerations:** - **Composite Evaluation:** While SAT scores are important, colleges also consider other factors like GPA, extracurricular activities, essays, and recommendation letters. - **Score Trends:** Improvement over time can also be a positive indicator for admissions committees. - **Test-Optional Policies:** Some universities have adopted test-optional policies, placing less emphasis on SAT scores. ### **Conclusion:** Understanding where individual SAT scores fall within the normal distribution helps in assessing one's academic standing compared to peers. It's essential to aim for continual improvement and present a well-rounded application to maximize college admission opportunities. If you have specific questions or need further analysis on these scores, feel free to ask!

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Did you know that the SAT has undergone several changes since it was first introduced in 1926? Originally, it was designed to assess students’ general reasoning abilities and was a single test that was meant to help level the playing field for college admissions. Over the years, it transformed, initially including verbal and math sections, and eventually evolving into the current format that seeks to assess readiness for college-level work, incorporating more advanced topics and real-world problem solving. When preparing for the SAT, it’s crucial to understand the concept of score percentiles. For example, if a student scores in the 90th percentile, it means they performed better than 90% of test-takers. This not only helps in setting targets but also assists colleges in evaluating applicants based on relative performance. A common mistake students make is focusing solely on achieving a specific score instead of understanding how their score compares within the larger pool of students.

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