Free. Exclusive. Just for you.
Four unique services that make learning easier, faster, and smarter - only on our website.

PERCENTILES FOR GROUPED DATA AND PERCENTILE RANK.pptx - Free Printable

PERCENTILES FOR GROUPED DATA AND PERCENTILE RANK.pptx

Educational worksheet: PERCENTILES FOR GROUPED DATA AND PERCENTILE RANK.pptx. Download and print for classroom or home learning activities.

JPG 320×240 13.4 KB Free · Personal Use
Quality Assured by Worksheets Library Team
Reviewed for educational accuracy and age-appropriateness
ID: #1353236
Show Answer Key & Explanations Step-by-step solution for: PERCENTILES FOR GROUPED DATA AND PERCENTILE RANK.pptx
To solve this problem, we need to find the percentile ranks of two students who scored 42 and 35 on a mathematics test, based on grouped data. The goal is to determine whether these scores are above the 75th percentile, which is the passing score for the scholarship.

---

📌 Given:


- Grouped frequency distribution of test scores.
- Total number of students: N = 50
- We want to find the percentile rank of:
- Student A: Score = 42
- Student B: Score = 35
- Determine if their scores are at or above the 75th percentile (i.e., qualify for scholarship).

---

🔍 Step 1: Understand Percentile Rank Formula



For grouped data, the percentile rank (PR) of a score is calculated using:

$$
\text{Percentile Rank} = \left( \frac{L + \frac{(X - L)}{w} \times f}{N} \right) \times 100
$$

But more commonly used formula is:

$$
PR = \left( \frac{\text{Cumulative Frequency below } X + \frac{(X - L)}{w} \times f}{N} \right) \times 100
$$

Where:
- $ X $ = the score
- $ L $ = lower limit of the class interval containing $ X $
- $ w $ = width of the class interval
- $ f $ = frequency of that class
- Cumulative frequency below $ X $ = sum of frequencies of all classes below the one containing $ X $

Alternatively, use the interpolation method:

$$
PR = \left( \frac{CF_{\text{below}} + \frac{(X - L)}{w} \times f}{N} \right) \times 100
$$

We'll compute cumulative frequencies first.

---

📊 Step 2: Build Cumulative Frequency Table



| Class Interval | Frequency (f) | Cumulative Frequency (CF) |
|----------------|---------------|----------------------------|
| 46–50 | 4 | 4 |
| 41–45 | 8 | 4 + 8 = 12 |
| 36–40 | 11 | 12 + 11 = 23 |
| 31–35 | 9 | 23 + 9 = 32 |
| 26–30 | 12 | 32 + 12 = 44 |
| 21–25 | 6 | 44 + 6 = 50 |

Total: N = 50

---

Student A: Score = 42



- Score 42 falls in the class interval 41–45
- This interval has:
- Lower limit $ L = 41 $
- Width $ w = 5 $ (since 45 - 41 = 4, but intervals are inclusive — usually assume 41–45 means 41 ≤ x < 46, so width = 5)
- Frequency $ f = 8 $
- Cumulative frequency below this class: $ CF_{\text{below}} = 4 $ (from 46–50 class? Wait — no!)

Wait! Let's double-check the order of the table.

The table is listed from highest to lowest score. But cumulative frequency should be built from lowest to highest.

So let’s reorder the table from lowest to highest for clarity:

| Class Interval | Frequency (f) | Cumulative Frequency (CF) |
|----------------|---------------|----------------------------|
| 21–25 | 6 | 6 |
| 26–30 | 12 | 6 + 12 = 18 |
| 31–35 | 9 | 18 + 9 = 27 |
| 36–40 | 11 | 27 + 11 = 38 |
| 41–45 | 8 | 38 + 8 = 46 |
| 46–50 | 4 | 46 + 4 = 50 |

Now correct.

So now:
- For score 42, it lies in 41–45
- $ L = 41 $
- $ w = 5 $
- $ f = 8 $
- $ CF_{\text{below}} = 38 $ (sum of all below 41–45)

Now apply formula:

$$
PR = \left( \frac{CF_{\text{below}} + \frac{(X - L)}{w} \times f}{N} \right) \times 100
$$

$$
PR_A = \left( \frac{38 + \frac{(42 - 41)}{5} \times 8}{50} \right) \times 100
= \left( \frac{38 + \frac{1}{5} \times 8}{50} \right) \times 100
= \left( \frac{38 + 1.6}{50} \right) \times 100
= \left( \frac{39.6}{50} \right) \times 100
= 0.792 \times 100 = 79.2%
$$

So Student A's percentile rank = 79.2

This is above 75%, so qualifies.

---

Student B: Score = 35



- Score 35 falls in 31–35
- $ L = 31 $
- $ w = 5 $
- $ f = 9 $
- $ CF_{\text{below}} = 18 $ (from 21–25 and 26–30)

Now:

$$
PR_B = \left( \frac{18 + \frac{(35 - 31)}{5} \times 9}{50} \right) \times 100
= \left( \frac{18 + \frac{4}{5} \times 9}{50} \right) \times 100
= \left( \frac{18 + 0.8 \times 9}{50} \right) \times 100
= \left( \frac{18 + 7.2}{50} \right) \times 100
= \left( \frac{25.2}{50} \right) \times 100
= 0.504 \times 100 = 50.4%
$$

So Student B's percentile rank = 50.4%

This is below 75%, so does not qualify.

---

Final Answer:



- Student A (score = 42): Percentile Rank = 79.2% → Qualifies
- Student B (score = 35): Percentile Rank = 50.4% → Does NOT qualify

---

🟩 Conclusion:



Only Student A qualifies for the scholarship, since their score is above the 75th percentile.

> Answer:
> - Student A: 79.2th percentile Qualifies
> - Student B: 50.4th percentile Does not qualify
Parent Tip: Review the logic above to help your child master the concept of percentile worksheet.
Print Download

How to use

Click Print to open a print-ready version directly in your browser, or use Download to save the file to your device. The ⭐ Answer button generates an AI answer key instantly - useful for teachers who need a quick reference. Need a different version? Our AI Worksheet Generator lets you create a custom worksheet on any topic in seconds.

(view all percentile worksheet)

Percentiles Quartiles Scaffolded Xabdw2 | PDF | Descriptive ...
Statistics: Quartiles and Percentiles Worksheet for 8th - 11th ...
Grouped Data - Percentile worksheet | Live Worksheets
Percentile Worksheet PDF | PDF | Percentile | Median
50+ quartiles worksheets for 10th Year on Quizizz | Free &amp; Printable
2.1 AP z socre 1 .pdf - AP Statistics 2.1 Homework Worksheet ...
ACTIVITY 1 WORKSHEET Illustrate the Measures | StudyX
Quartile and Percentile Lesson Plans &amp; Worksheets
How to Rank by Percentile in Excel - dummies
Solved Worksheet 27 Percentiles and the Normal Curve Riddle ...