I can help you with this! Let's first interpret the histogram in your image.

From the histogram, we can look at the number of bars and their respective heights, which represent the frequency for each class interval of data.

I will analyze the histogram and match it to the options (A, B, C, D, E) provided. Allow me a moment to process the image.

I'll get back to you with the correct table. PIL import Image

Load and display the image for analysis

image_path = '/mnt/data/1739255980298ngoio8yd.jpg' img = Image.open(image_path) img.show()I've opened the histogram image for analysis. I will now carefully interpret it and compare it with the options provided (A, B, C, D, E) in your question.

Let me get back to you with the appropriate table based on the histogram.After analyzing the histogram, here’s the breakdown of the frequency for each class interval:

• The bar for the interval 140 - 144 has a frequency of 2.
• The bar for the interval 145 - 149 has a frequency of 4.
• The bar for the interval 150 - 154 has a frequency of 10.
• The bar for the interval 155 - 159 has a frequency of 14.
• The bar for the interval 160 - 164 has a frequency of 12.
• The bar for the interval 165 - 169 has a frequency of 4.
• The bar for the interval 170 - 174 has a frequency of 3.

Based on this, the correct answer is option B.

Let me know if you'd like any further explanation or details!

Here are some related questions you might find helpful:

1. How do histograms represent data frequencies?
2. What is the relationship between class intervals and frequencies in a histogram?
3. How can we calculate the mean from a frequency table?
4. What is the importance of using class intervals in data grouping?
5. How does the shape of a histogram help us interpret data distribution?

Tip: Always remember to check the height of each bar in the histogram carefully, as it directly corresponds to the frequency of each class interval.