Questions: Wachesaw Manufacturing Incorporated produced the following number of units in the last 16 days.
27, 27, 27, 28, 27, 25, 25, 28,
26, 28, 26, 28, 31, 30, 26, 26
The information is to be organized into a frequency distribution.
Click here for the Excel Data File
Required:
a. How many classes would you recommend?
Number of classes
b. What class interval would you suggest?
Note: Round your answer to 1 decimal place.
Class interval
Transcript text: Wachesaw Manufacturing Incorporated produced the following number of units in the last 16 days.
\begin{tabular}{llllllll}
27 & 27 & 27 & 28 & 27 & 25 & 25 & 28 \\
26 & 28 & 26 & 28 & 31 & 30 & 26 & 26
\end{tabular}
The information is to be organized into a frequency distribution.
Click here for the Excel Data File
Required:
a. How many classes would you recommend?
Number of classes $\square$
b. What class interval would you suggest?
Note: Round your answer to 1 decimal place.
Class interval
Solution
Solution Steps
To solve the given problem, we need to determine the number of classes and the class interval for a frequency distribution of the data provided.
Solution Approach
Determine the number of classes: Use Sturges' formula, which is \( k = 1 + 3.322 \log_{10}(n) \), where \( n \) is the number of data points.
Calculate the class interval:
Find the range of the data by subtracting the minimum value from the maximum value.
Divide the range by the number of classes to get the class interval.
Step 1: Determine the Number of Classes
To determine the number of classes, we use Sturges' formula:
\[ k = 1 + 3.322 \log_{10}(n) \]
Given \( n = 16 \):
\[ k = 1 + 3.322 \log_{10}(16) \]
\[ k \approx 1 + 3.322 \times 1.2041 \]
\[ k \approx 1 + 4.0000 \]
\[ k \approx 5.0000 \]
Rounding up to the nearest whole number:
\[ k = 6 \]
Step 2: Calculate the Range of the Data
The range of the data is calculated as:
\[ \text{Range} = \max(\text{data}) - \min(\text{data}) \]
Given the data:
\[ \text{Range} = 31 - 25 \]
\[ \text{Range} = 6 \]
Step 3: Calculate the Class Interval
The class interval is calculated by dividing the range by the number of classes:
\[ \text{Class Interval} = \frac{\text{Range}}{k} \]
\[ \text{Class Interval} = \frac{6}{6} \]
\[ \text{Class Interval} = 1.0000 \]