(a) What is the minimum UGPA that would still place a student in the top 5% of UGPAS? (b) Between what two values does the middle 50% of the UGPAS lie?

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**Title: Understanding Undergraduate GPAs Through Normal Distribution**

**Description:**

The undergraduate grade point averages (UGPA) of students taking an admissions test in a recent year can be approximated by a normal distribution, as shown in the figure.

**Questions:**

(a) What is the minimum UGPA that would still place a student in the top 5% of UGPAs?

(b) Between what two values does the middle 50% of the UGPAs lie?

**Graph Explanation:**

The graph is a normal distribution curve representing the UGPAs. Key details are:

- **Mean (μ):** 3.32
- **Standard Deviation (σ):** 0.21
- **X-axis:** Represents the grade point average.
- The graph shows a symmetrical bell curve centered at a mean UGPA of 3.32.

**Additional Information:**

(a) The minimum UGPA that would still place a student in the top 5% of UGPAs is [box for answer].

**Note to Students:**

Use this information to understand how GPA distributions can influence admissions outcomes and to calculate critical cutoff points using statistical methods.
Transcribed Image Text:**Title: Understanding Undergraduate GPAs Through Normal Distribution** **Description:** The undergraduate grade point averages (UGPA) of students taking an admissions test in a recent year can be approximated by a normal distribution, as shown in the figure. **Questions:** (a) What is the minimum UGPA that would still place a student in the top 5% of UGPAs? (b) Between what two values does the middle 50% of the UGPAs lie? **Graph Explanation:** The graph is a normal distribution curve representing the UGPAs. Key details are: - **Mean (μ):** 3.32 - **Standard Deviation (σ):** 0.21 - **X-axis:** Represents the grade point average. - The graph shows a symmetrical bell curve centered at a mean UGPA of 3.32. **Additional Information:** (a) The minimum UGPA that would still place a student in the top 5% of UGPAs is [box for answer]. **Note to Students:** Use this information to understand how GPA distributions can influence admissions outcomes and to calculate critical cutoff points using statistical methods.
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