https://file.aiquickdraw.com/mathbot/file/1731854114034kzxynqxn.jpg

from PIL import Image
import pytesseract

# Load the image and apply OCR
image_path = '/mnt/data/1731854114034kzxynqxn.jpg'
text = pytesseract.image_to_string(Image.open(image_path))

text'The stock prices for eight major grocery store chains in early 2012 were:\n$18.22 $20.32 $9.36 $11.57 $15.27 $48.04 $48.84 $28.25\n\nFind the range, mean, and standard deviation. Round the mean and the standard deviation to two decimal places, if necessary.\n''The stock prices for eight major grocery store chains in early 2012 were:\n$18.22 $20.32 $9.36 $11.57 $15.27 $48.04 $48.84 $28.25\n\nFind the range, mean, and standard deviation. Round the mean and the standard deviation to two decimal places, if necessary.\n'successThe extracted text from the image is:

"The stock prices for eight major grocery store chains in early 2012 were:  
$18.22, $20.32, $9.36, $11.57, $15.27, $48.04, $48.84, $28.25  

Find the range, mean, and standard deviation. Round the mean and the standard deviation to two decimal places, if necessary."

### Let's calculate the range, mean, and standard deviation for the stock prices.import numpy as np

# List of stock prices
stock_prices = [18.22, 20.32, 9.36, 11.57, 15.27, 48.04, 48.84, 28.25]

# Calculations
range_of_prices = max(stock_prices) - min(stock_prices)
mean_price = np.mean(stock_prices)
std_deviation = np.std(stock_prices, ddof=0)  # Population standard deviation

# Round results to two decimal places
range_of_prices = round(range_of_prices, 2)
mean_price = round(mean_price, 2)
std_deviation = round(std_deviation, 2)

range_of_prices, mean_price, std_deviation(39.48, 24.98, 14.57)(39.48, 24.98, 14.57)successThe calculated values are:

1. **Range**: $39.48  
2. **Mean**: $24.98  
3. **Standard Deviation**: $14.57  

Would you like a detailed explanation of these calculations? 

Here are some related questions to explore further:
1. How does the range of stock prices indicate variability?
2. What does the standard deviation say about the dispersion of stock prices?
3. What are the implications of a high mean for stock price analysis?
4. How can outliers affect the mean and standard deviation?
5. Could these metrics guide decisions in stock investments?

**Tip:** The standard deviation is sensitive to outliers; check the data for unusually high or low values when analyzing variability.

The stock prices for eight major grocery store chains in early 2012 were: $18.22, $20.32, $9.36, $11.57, $15.27, $48.04, $48.84, $28.25. Find the range, mean, and standard deviation. Round the mean and the standard deviation to two decimal places, if necessary.

Learn how to find the range, mean, and standard deviation for the stock prices of grocery store chains in early 2012: $18.22, $20.32, $9.36, $11.57, $15.27, $48.04, $48.84, and $28.25. Suitable for students in Grades 9-12.

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