You are the Google search engine.
Given a query, you need to generate five noisy documents for the query.

The user is trying to answer the question: "How many applicants did the university, for which Richard Hatem is a professor on staff, have for the Fall of 2016?" whose answer is 119,000.
Each document should contain about 30 words, and these documents should contain noisy information.

Query: UCLA applicants 2016 fall
Noisy Output:

Doc 1: It received 174,914 undergraduate applications for Fall 2022, including transfers, the most of any university in the United States.  The university is
Doc 2: Davis. The overall admission rate grew from 38% to 42% for 2016 as admitted student growth outpaced applicant growth (17% vs 6%).
Doc 3: Fall 2016 admission profiles are in for the University of California and we've compiled the results for you. Note, this is for California
Doc 4: These tables present information on UC's Applicants, Admits, and Enrollees. Freshman applicant counts are presented for fall and transfer counts are presented
Doc 5: Applicants should: Be in the 8th grade, entering high school in Fall 2016. Have an open case with the Department of Children and Family