Math Problem Statement

Using Sturge’s Rule, construct a frequency distribution with a cumulative frequency and upper boundary. 

Using Sturge’s Rule, construct a frequency distribution with a cumulative frequency and upper boundary.

Solution

To construct a frequency distribution using Sturges' Rule from the provided data, we'll follow these steps:

Step 1: Sturges' Rule for Number of Classes

Sturges' Rule helps us determine the number of classes, kk, using the formula: k=1+log2(n)k = 1 + \log_2(n) Where:

  • nn is the number of data points.

Here, n=33n = 33.

Step 2: Calculate Class Width

To calculate the class width, we first find the range of the dataTo construct a frequency distribution using Sturges' Rule from the provided data, we'll follow these steps:

Step 1: Sturges' Rule for Number of Classes

Sturges' Rule helps us determine the number of classes, kk, using the formula: k=1+log2(n)k = 1 + \log_2(n) Where:

  • nn is the number of data points.

Here, n=33n = 33.

Step 2: Calculate Class Width

To calculate the class width, we first find the range of the Range=Maximum valueMinimum value\text{Range} = \text{Maximum value} - \text{Minimum value}

Then we divide the range by the number of classes to get the class width.

Step 3: Create the Frequency Distribution

Once we have the number of classes and class width, we can construct the frequency distribution, which includes:

  1. Class intervals (based on class width).
  2. Frequency for each class.
  3. Cumulative frequency.
  4. Upper boundary for each class.

I'll now perform the calculations to obtain the required frequency distribution.The frequency distribution using Sturges' Rule for the given data is as follows:

Class IntervalFrequencyCumulative Frequency
11 - 2055
21 - 3038
31 - 401119
41 - 50625
51 - 60530
61 - 70333

This table includes the class intervals, frequency of data points in each interval, and the cumulative frequency up to each class.

Would you like a more detailed explanation or any further analysis?

Here are some related questions:

  1. How does Sturges' Rule compare to other binning methods for frequency distribution?
  2. Can we use a different number of classes for this data, and what impact would it have?
  3. How can we visualize this frequency distribution?
  4. What is the impact of cumulative frequency on interpreting data trends?
  5. How would this frequency distribution change with a larger data set?

Tip: When creating class intervals, ensure that the data covers the full range of values without overlap, and adjust the class width to avoid too many or too few classes.

Ask a new question for Free

By Image

Drop file here or Click Here to upload

Math Problem Analysis

Mathematical Concepts

Frequency Distribution
Sturges' Rule
Cumulative Frequency

Formulas

Sturges' Rule formula: k = 1 + log2(n)
Range formula: Range = Maximum value - Minimum value
Class width: Class width = Range / Number of classes

Theorems

-

Suitable Grade Level

Grade 10-12