Probability distributions, hypothesis testing, and confidence intervals each require a different kind of thinking than most math courses demand — more interpretation, less pure computation. Adrian tackles statistics by walking through what each number actually tells you about a dataset before touching any formulas. His engineering training, where statistical analysis informs real design decisions, keeps lessons grounded in practical meaning.

Probability distributions, hypothesis testing, and confidence intervals all hinge on understanding what the numbers actually represent — not just which formula to use. Jared's quantitative reasoning background and analytical mindset let him unpack the logic behind each statistical method so students can interpret results, not just compute them.

Cameron spent years running statistical analyses on genetic datasets during his PhD research, so concepts like probability distributions, hypothesis testing, and regression aren't theoretical for him — they're daily tools. He teaches statistics by connecting each method to the kind of question it actually answers, which makes the reasoning behind formulas far easier to retain.

Studying psychology at the graduate level at NYU means Chris runs statistical analyses constantly — t-tests, ANOVA, confidence intervals, and regression modeling aren't abstract textbook topics for him. He explains statistics through real research scenarios, which makes distributions and p-values far more concrete than a formula sheet ever could. That practical grounding is a big reason students rate him 5.0.

Special education training reshapes how Maurice teaches a subject like statistics — instead of rushing to formulas, he builds each idea (say, what a p-value actually claims, or why a sample size changes your confidence interval) through carefully sequenced steps tailored to how a particular student processes information. That deliberate pacing turns topics like hypothesis testing and probability from overwhelming to manageable, especially for students who've struggled with math in traditional classroom settings.

Interpreting p-values, choosing the right hypothesis test, and understanding what a confidence interval actually means — these are the concepts where Statistics shifts from number-crunching to critical thinking. Teresa's psychology background at Notre Dame required heavy coursework in statistical methods, so she teaches these ideas with the fluency of someone who's applied them to real research data. She holds a 4.9 rating across her students.

Probability distributions, hypothesis testing, and regression analysis each require a different kind of thinking than most math courses demand. Daniel approaches statistics through real-world data interpretation, leaning on the analytical rigor of his engineering background to make concepts like p-values and confidence intervals concrete rather than formulaic.

Running experiments in a UC Berkeley biochemistry lab taught Yuxuan that statistics isn't just a math class — it's how you decide whether your data actually means something. She brings that perspective to topics like probability distributions, regression analysis, and hypothesis testing, grounding each concept in real scenarios so the formulas carry meaning.

I am a graduate of the Creighton University School of Medicine where I received my M.D. I received my Bachelor's of Science in Biomedical Sciences with a minor in Philosophy at Marquette University in 2018. During my time at Marquette, I tutored General Biology and General Chemistry, and I was a teaching assistant for Organic Chemistry lab. Not only did I enjoy teaching students my age, but I also pursued teaching opportunities for younger students in high school and middle school. I was a gross anatomy instructor for high school students taking tours through the cadaver labs and I was one of the founders of the Marquette Brain Brigade, where a group of undergraduate students came up with demos/lessons in neuroscience to teach middle school students. Moreover, I sought out private tutoring opportunities at a company called Huntington Learning Center both during undergrad and during medical school where I tutored a wide variety of subjects, including ACT/SAT, for virtually all age groups. I am very comfortable teaching various subjects and ages, and I am a laid back and flexible person. The subjects I am most comfortable teaching would be the sciences anywhere from the basic level to graduate school level. I am so grateful for the educators that allowed me to pursue my dream of becoming a doctor, and I would love to pass it on and help younger students achieve their goals.

I am an interdisciplinary educator with an Ed.M. from the Harvard Graduate School of Education and a B.A. from Dartmouth College. My background is primarily in integrated arts learning and museum education and I specialize in visual arts, history and art history, and object-based learning. In all subjects, I take a creative, inquiry-based and learner-centered approach, designing opportunities for each unique individual to meet their learning goals.

I'm not tutoring or buried in my textbooks, you will either find me rock climbing at the Triangle Rock Club, playing Ultimate Frisbee, working on my car, or enjoying the great outdoors (beaches, mountains, forests--you name it, I love it). On rainy weekends I enjoy tinkering with computers and old electronics, playing Pokemon, or picking at my guitar.

I am a recent graduate from a masters program in biostatistics at Columbia University. I received my Bachelor of Arts in biological sciences, with a focus in neurobiology at Northwestern University. In August, I will be starting a doctoral program in biostatistics at NYU. I was a teaching assistant at Columbia University in my department and also have tutored graduate students and undergraduates privately as well. My primary areas of tutoring are math and statistics coursework in addition to math sections on standardized tests such as the GRE and GMAT. I am very passionate about helping students feel more confident and excited about math. In my spare time, I enjoy running, playing piano, and spending time with friends and family.