Math Problem Statement

Solve for Q3 of the grouped data below.

Solution

The image you've uploaded contains a grouped frequency distribution table. The goal is to solve for Q3Q_3, the third quartile, of the grouped data.

Here’s the table extracted from the image:

Class IntervalFrequency (f)Cumulative Frequency (cf)
81 - 90240
71 - 80638
61 - 701532
51 - 601017
41 - 5077

To find Q3Q_3, we use the formula for the third quartile in grouped dataThe image you've uploaded contains a grouped frequency distribution table. The goal is to solve for Q3Q_3, the third quartile, of the grouped data.

Here’s the table extracted from the image:

Class IntervalFrequency (f)Cumulative Frequency (cf)
81 - 90240
71 - 80638
61 - 701532
51 - 601017
41 - 5077

To find Q3Q_3, we use the formula for the third quartile in grouped

Q3=L+(3N4Ff)×hQ_3 = L + \left(\frac{\frac{3N}{4} - F}{f}\right) \times h

Where:

  • LL = lower boundary of the quartile class
  • NN = total frequency (which is 40 in this case)
  • FF = cumulative frequency of the class before the quartile class
  • ff = frequency of the quartile class
  • hh = class width

Steps to Calculate Q3Q_3:

  1. Find 3N4\frac{3N}{4}: 3×404=30\frac{3 \times 40}{4} = 30 So, the third quartile corresponds to the cumulative frequency 30.

  2. Identify the Quartile Class: The class interval where the cumulative frequency just exceeds 30 is 61 - 70.

  3. Determine the Quartile Class Parameters:

    • L=60.5L = 60.5 (the lower boundary of 61 - 70)
    • F=17F = 17 (cumulative frequency before the quartile class)
    • f=15f = 15 (frequency of the quartile class)
    • h=10h = 10 (class width)
  4. Apply the Quartile Formula: Q3=60.5+(301715)×10Q_3 = 60.5 + \left(\frac{30 - 17}{15}\right) \times 10 Simplifying this: Q3=60.5+(1315)×10Q_3 = 60.5 + \left(\frac{13}{15}\right) \times 10 Q3=60.5+(0.8667)×10Q_3 = 60.5 + \left(0.8667\right) \times 10 Q3=60.5+8.67=69.17Q_3 = 60.5 + 8.67 = 69.17

Final Answer:

Q3Q_3 for the grouped data is approximately 69.17.

Would you like more details on any specific part of the process?

Here are 5 related questions for further exploration:

  1. How would the calculation change if the class intervals were of different widths?
  2. What is the significance of the quartile in data analysis?
  3. How can we use the cumulative frequency graph to find the quartiles?
  4. How do you determine which class interval the median lies in using grouped data?
  5. What happens if the dataset has more or fewer intervals? How does it affect quartile calculation?

Tip: When solving for quartiles or percentiles, always check the cumulative frequency to identify the correct class interval before applying the formula.

Ask a new question for Free

By Image

Drop file here or Click Here to upload

Math Problem Analysis

Mathematical Concepts

Statistics
Quartiles
Grouped Data

Formulas

Q3 = L + ((3N/4 - F) / f) × h

Theorems

Quartile Calculation in Grouped Frequency Distribution

Suitable Grade Level

Grades 9-12