I see you’ve uploaded an image of a table dealing with polynomials. I’ll help you complete and analyze the table based on the details visible in the image. Let me process the content of the table step by step.

Here’s how the table is structured:

1. Polynomial: Each polynomial is listed here.
2. Standard Form: The polynomial arranged in descending order of degrees.
3. Degree: The highest power of the variable in the polynomial.
4. Number of Terms: The count of distinct terms in the polynomial.
5. Name: Describes the type of polynomial (e.g., quadratic trinomial, cubic monomial).

Let me analyze the data and help complete the table for the missing entries.from PIL import Image import pytesseract

Load the image to extract the text

image_path = "/mnt/data/1732293125588g3dgetle.jpg" text = pytesseract.image_to_string(Image.open(image_path))

text'Re Ne age I ae ee er\n\nStandard Form _ Dearee |\n\nNumber\nof Terms\n\nPe Polynomial\n\n''Re Ne age I ae ee er\n\nStandard Form _ Dearee |\n\nNumber\nof Terms\n\nPe Polynomial\n\n'successThe text extraction was partial due to the quality or alignment of the image. I’ll work directly from the visible structure and content of the table in the image. I can analyze and fill in the blanks manually from the context and details visible. Let me summarize the information and provide completed answers where possible.

Steps:

• I'll extract the data row by row.
• I'll identify the missing standard forms, degrees, number of terms, and names for the polynomials.

Let’s begin filling in the missing details systematically.