Award-Winning AP Statistics Tutors
serving Huntsville, AL

I graduated with a BA in Politics and a BA in Anthropology from NYU in 2022. I also hold a MS in Biomedical Anthropology and a Graduate Certificate in Forensic Health and Nursing from SUNY Binghamton (graduated May 2024). I have worked in education, with a previous position with America Reads/America Counts teaching elementary students in the NYC public school system. My previous virtual tutoring experience was with Curious Cardinals, where I had tutored high school students with the following: forensic science, biology (anatomy, genetics), SAT Evidence-Based Reading and Writing, ACT English and ACT Reading. I have experience working in forensic science policy at the Innocence Project, which is an organization focused on exonerating individuals who were wrongfully convicted of crime. In this role, I have written testimonials, case reports, and research articles on forensic identification methods and their legal, ethical, political, and privacy implications in casework. I have also worked in the forensic science sector as a Criminalist II at the NYC Office of Chief Medical Examiner (OCME). In this position, I assisted medical examiners (forensic pathologists) in the positive identification of deceased individuals throughout New York City. I also assisted in missing persons inquiries that were brought to the agency. Recently, I completed a research project in Vitoria de Santo Antao and Recife (both in the state of Pernambuco, in northeast Brazil) as a Fulbright Grantee. My research focused on osteology, forensic anthropology, and forensic genetics. My project involved metric analyses of bones combined with analyzing genetic information from DNA taken from bones. Currently, I am a doctoral student of Biological Sciences - Genetics at the University of Sao Paulo (USP). As a doctoral student, my dissertation project is expanding on the research I did with the Fulbright grant and is based on the central question/problem: What is the evolutionary relationship between skeletal morphology (primarily size), external pigmentation (i.e., skin, hair), and the presence of vitamin D deficiencies (which are indicated by the presence of skeletal lesions and decreased bone mineral density)? My favorite subjects in school were biology and anatomy, U.S. history, statistics, pre-algebra and algebra I, language and literature. I also partook in concert band and orchestra both in high school and in college. I am excited to share my skills and knowledge in these subjects with you, as well!

I am an aerospace engineering student. I am very passionate about teaching math, physics, and chemistry. I realized tutoring was my calling while working as a tutor at my school. Seeing students gain a greater understanding of the subject was the highlight of my day while working there.

Neuroscience research at Brown means Oladele has spent semesters analyzing behavioral data, interpreting variability in experimental results, and deciding whether observed effects in the brain are real or just random noise — skills that map directly onto AP Stats concepts like hypothesis testing and inference. He zeroes in on the thinking-through-the-problem side of the course, teaching students to reason about why a particular test applies to a given scenario instead of just memorizing which calculator function to press. His 1430 SAT and role as head math coach for a college prep program speak to how naturally he breaks down quantitative reasoning for others.

Neuroscience research at Vanderbilt means Blake regularly encounters experimental design, data interpretation, and statistical inference in contexts like brain imaging studies and behavioral experiments — the same reasoning AP Stats tests on every free-response question. He's especially strong on the conceptual side, walking through why a particular test applies and how to communicate conclusions about p-values and confidence intervals with the precision the rubric demands. Rated 5.0 by students.

Twenty-five years teaching science in Massachusetts public schools means Jacques has walked hundreds of students through the messy reality of collecting lab data, spotting outliers, and deciding whether results actually mean something — which is the interpretive core of AP Statistics. His Princeton chemical engineering training leaned heavily on statistical modeling and differential equations, giving him a quantitative backbone that makes concepts like normal distributions and expected value click in context rather than in isolation. Rated 4.8 by students.

Chemical and biomolecular engineering at Princeton means Satya's coursework is steeped in statistical modeling — analyzing reaction yields, quantifying experimental uncertainty, and determining whether process variations are significant or just random noise. That engineering lens is especially useful for the AP Stats units on inference and experimental design, where understanding why you'd choose a particular test matters more than memorizing which calculator button to press. His 36 ACT speaks to the precision and structured reasoning the free-response section rewards.

Studying Data Science at NYU's Courant Institute means Diego lives in the world of probability distributions, hypothesis testing, and regression analysis every day. He breaks down AP Statistics concepts like confidence intervals and chi-square tests by connecting them to real datasets, making the logic behind inference click before students ever touch a formula sheet.

Teaching statistics at the university level at Washington State University Vancouver, Moayad knows exactly where AP Statistics students stumble — inference logic, interpreting p-values, and distinguishing between experimental designs. He breaks down hypothesis testing and confidence intervals using the same framework he uses with his college students, scaled to the AP curriculum.

Game Theory for advanced middle schoolers at Johns Hopkins CTY required Carter to make probability, expected value, and strategic reasoning click for students years ahead of the typical curve — experience that translates directly to the combinatorics and probability units in AP Stats. His economics training at Brown also means he's comfortable with regression and inference in applied contexts, so he can ground abstract concepts like sampling variability in real decision-making scenarios rather than just calculator routines. Rated 5.0 by students.

A philosophy major with a certificate in Statistics and Machine Learning from Princeton, Julie approaches AP Stats from both sides — the computational mechanics and the careful logical reasoning about what the numbers actually prove. That philosophy training is surprisingly relevant: questions about whether correlation implies causation, what constitutes a valid inference, and how to structure an argument from evidence are the same skills the free-response section grades hardest on. Rated 4.9 by students.

Graduate-level applied statistics at Penn State is a different animal from AP Stats, but William uses that deeper training to show students why formulas like the one for standard error of a sampling distribution are built the way they are — which makes the interpretation questions on the exam far less mysterious. His biomedical engineering background also means he's comfortable grounding lessons in real study designs, from clinical trials to observational health data, so students practice writing the kind of context-specific conclusions the free-response rubric actually rewards. Rated 4.8 by students.

Inference tests trip up most AP Statistics students not because the math is hard, but because choosing between a t-test, a chi-square, and a z-interval requires careful attention to context. Sharan's quantitative training in Human Biology at Cornell means she regularly interprets data distributions and p-values — and she breaks down the logic behind each test so students can identify the right approach on exam day.

Philosophy, Politics, and Economics at Penn is a surprisingly stats-adjacent combination — Kevin's coursework requires interpreting polling data, evaluating economic models, and dissecting whether a study's methodology actually supports its conclusions. That training in rigorous argument transfers well to the AP Stats free-response section, where earning full credit depends on explaining *why* a particular inference procedure applies, not just executing calculator steps. His 34 ACT speaks to the kind of precise, test-ready thinking that keeps answers tight under exam pressure.

Cognitive science trains you to think about how people reason under uncertainty — which is surprisingly close to what AP Stats actually tests, from interpreting conditional probabilities to explaining why a particular sampling method can skew results. Kimberly uses that background to teach the mental models behind concepts like normal distributions and inference, so the logic clicks before students ever touch a calculator. Rated 5.0 by students.