Based on the histogram above, what is the class width? Class width = How many individuals are represented in the histogram? Sample size =
The correct answer and explanation is:
To calculate the class width and sample size, I would need the details of the histogram, such as the range of each class (or bar), and the number of individuals in the dataset.
However, I can explain how you would calculate these values:
- Class Width: The class width refers to the difference between the upper and lower limits of each class in the histogram. This is the width of each interval or bin on the x-axis. To find the class width, you need to:
- Identify the lower and upper boundaries of a class interval. For example, if one class covers the range from 10 to 20, the class width is 20 – 10 = 10.
- If the class intervals are consistent, you can apply the same width to all classes in the histogram.
- Sample Size: The sample size represents the total number of individuals or data points represented in the histogram. This can be calculated by summing the frequencies (the heights of the bars) for all classes. If the histogram provides frequency counts for each class, the sample size is the sum of all these frequencies. For instance, if the histogram has five classes with frequencies of 5, 10, 15, 20, and 25, the sample size would be: Sample Size=5+10+15+20+25=75\text{Sample Size} = 5 + 10 + 15 + 20 + 25 = 75
In summary:
- Class width is the interval size between consecutive classes on the x-axis.
- Sample size is the total number of data points in the dataset, found by summing the frequencies of all classes.
If you can share more specific details about the histogram, I can provide a more tailored explanation!