Responder
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.
Solución
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!
Revisado y aprobado por el equipo de tutoría de UpStudy
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