It seems you've uploaded an image. Let me analyze it for you. PIL import Image

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image_path = '/mnt/data/1733617854822fs0db3h8.jpg' img = Image.open(image_path) img.show()I have displayed the image. Let me extract the contents and analyze it. pytesseract

Use OCR to extract text from the image

text = pytesseract.image_to_string(img)

Display the extracted text

textThe image contains a question about hypothesis testing. Here's a breakdown of the problem:

• You're performing a hypothesis test for the null hypothesis $H_0: \mu = 10$ against an alternative hypothesis.
• The sample consists of 25 people.
• The population follows a normal distribution $X \sim N(10, 8.9143)$.
• The power of the test at an alternative value of 15 is 58.71%.

The question asks you to find the new power (or distinguishing power) when the alternative hypothesis shifts by 0.4828 more than the original alternative value (i.e., $15 + 0.4828$).

Would you like me to proceed with the solution, showing the steps to calculate the new power?