It looks like you've uploaded an image. Let me extract the content and analyze it to assist you with any questions or calculations. PIL import Image

Open the image file to check its content

img_path = '/mnt/data/1733698326648qtr6vu1y.jpg' image = Image.open(img_path) image.show()I have opened the image. I'll now analyze its content. Please give me a moment to extract the relevant details. pytesseract

Use Tesseract to extract text from the image

extracted_text = pytesseract.image_to_string(image)

extracted_textThe image contains a question regarding test scores for the analytical writing section, which follow a normal distribution. Here is the problem breakdown:

(a) What is the maximum score that can be in the bottom 5% of scores?

(b) Between what two values does the middle 90% of scores lie?

You are asked to:

• Find the maximum score for the bottom 5%.
• Determine the range that covers the middle 90% of scores.

It appears that there is a reference to a normal distribution, but some key values like the mean and standard deviation seem to be missing in the text. To solve these problems, the following steps would be typically required:

• For part (a), you would look for the z-score corresponding to the 5th percentile in a normal distribution table or calculate it using the inverse cumulative distribution function (z-table).
• For part (b), the z-scores for the middle 90% (i.e., from the 5th percentile to the 95th percentile) can be used to find the corresponding values in the normal distribution.

Do you have the mean and standard deviation values of the distribution, or would you like me to assume some typical values to solve this?