Great! With a 95% confidence level and a \( Z \) value of 2, we can calculate the confidence intervals for the means using the provided standard deviations.

The formula for the confidence interval is:

\[
\text{CI} = \text{Mean} \pm (2 \times \text{Standard Deviation})
\]

However, I'll need to see the actual mean values and standard deviation values from the image to provide the answer. Let me extract those values first.from PIL import Image
import pytesseract

# Load the image from the provided path
image_path = "/mnt/data/17246151030154cejie35.jpg"
image = Image.open(image_path)

# Use pytesseract to extract text from the image
extracted_text = pytesseract.image_to_string(image)

extracted_textIt seems that the text extraction was not successful. If you could provide the specific mean and standard deviation values from the image, I can help you determine if the confidence intervals overlap. Alternatively, you could describe or type out the key data from the image.

Learn how to calculate confidence intervals with a 95% confidence level and a Z value of 2. This problem involves applying statistical concepts to determine the range around a mean using standard deviations. Suitable for advanced level learners.

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