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Hi, I think with enough studying I can get my score above a 160. How worried should I be about my weak LORs and general lack of quantitative preparedness? Thanks for the response!

Undergrad Institution: US News Top 100 Major(s): Sociology Minor(s): N/A GPA: Roughly 3.8X major GPA, 4.0 thus far in all math courses Type of Student: Domestic Asian Female GRE General Test: Q: N/A (Between 155-160 in practice tests without studying) V: N/A (90-95th percentile) W: N/A GRE Subject Test in Mathematics: N/A TOEFL Score: N/A Grad Institution: Penn State Graduate Certificate in Applied Statistics (in progress) Concentration: GPA: 4.0 thus far Programs Applying: Statistics/Biostats MS/MA Research Experience: Internship at my schools center for statistical analysis (working under a Sociology PhD) Awards/Honors/Recognitions: Dean's Honors but nothing special Pertinent Activities or Jobs: Letters of Recommendation: Most likely won't be anything spectacular. I took most of my math courses at a local CC post-grad. Also, Penn State is online so almost no interaction with professors. If anyone has any advice on this that would be super helpful! My jobs have all been in environmental/non-profit work so largely irrelevant to a statistics degree. I'm about 7 years out from my undergrad and was a fairly quiet student. The one professor who offered to write a strong rec died in 2017. Math/Statistics Grades: Undergrad: Statistics - B+ Javascript - C+ (I shouldn't have taken this course, I was not a CS person at 19 and really came to appreciate math/computer science in my last semester of college which is why I went back to school at nights to fulfill pre-recs and self-taught coding languages) Community College (post-grad): Calc I: A Calc II: A Calc III: A Linear Algebra: A Differential Equations: A Penn State (post-grad graduate certificate): Applied Statistics: A Regression Methods: In progress (A so far with a midterm and final left) Probability Theory: Fall 2021 Python: Fall 2021 R: Fall 2021 Any Miscellaneous Points that Might Help: I've now taken a couple graduate level courses at Penn State if that helps. Applying to Where: (subject to change) Reach: UC Davis MS Biostatistics (top choice) UCSB MA Statistics UCLA MA Statistics Brown ScM Statistics UCSC MS Statistics Still probably a reach: Cal State Fullerton MS Statistics (Online) Penn State MA Statistics (Online) San Jose State MS Statistics (top choice) Cal State East Bay MS Statistics and MS Biostatistics San Diego State MS Statistics and/or Ms Biostatistics (top choice) Cal State Long Beach MS Statistics (top choice) I need someone to tell it to me straight. Judging from other application profiles, I am in way over my head (you guys are so smart and qualified and it makes me wish I majored in math as an undergrad!). I decided to pursue statistics back in 2018 (after spending two years wanting to, but being overwhelmed by the process) and have since been taking classes mostly at night while working full-time. I would like to avoid spending any more time and money on this application cycle (GRE, application fees, etc) if I'm being too optimistic here. My hope for this degree is to obtain the quantitative skills necessary to work in social/public policy/research. I would love to be able to use both my BS (sociology) and statistics in my career. Should I wait a year and finish my grad certificate and maybe get some relevant work experience/LORs in the meantime? Alternatively, I can get a google data analysis certificate (R, SQL, Tableau) and try for a job as a data analyst if a masters degree is out of reach. Thank you so much! Sincerely, Underconfident and Anxious.