The Best Statistical Inference Tutoring Online

...San Antonio. Finally I used statistics again in several courses while getting my PhD at UMass Lowell including Statistical Inference and Data Mining, AI, Machine Learning and Computer Vision. I would love to help you build the confidence to solve...See Julie's full profile

...Linear Models, Theory of Linear Models, Longitudinal Modeling, Logistic Regression, Applied Mixed Models, Advanced Statistical Inference, Multivariate Analysis, SAS Programming, Advanced R programming, Computational Statistics, Monte Carlo Methods, ...See Kidane's full profile

I have taught statistics at the 1st year college level, and more advanced courses such as biostatistics, calculus-based probability, statistical inference, and others at the college level.See James's full profile

...analytics class. I am proficient in using R and RStudio to do exploratory data analysis, visualization, and applied statistical inference....See Alexander's full profile

I have experience in Fundamental statistics, Statistical Inference, Regression and ANOVA, Cluster Analysis via SPSS. See Yiming's full profile

...equations, abstract algebra, real/complex analysis, and advanced statistics courses (e.g. mathematical statistics, statistical inference, biostatistics, machine learning, advanced probability), with ages ranging from young children to nontraditional...See Ryan's full profile

I received a 5 on the AP Stats Exam in 2021, and have received an A in college statistics classes including Introduction to Data Science, Probability and Statistics, Statistical Inference, Regression Analysis, Stochastic Processes, and...See Lou's full profile

I am well versed in regression analysis and statistical inference such as hypothesis testing and parameter estimation. I have studied both parametric and non-parametric statistical techniques and utilize both frequentist and Bayesian...See Brennan's full profile

I am well acquainted with biostatistical inquiry and statistical inference. Additionally, I am proficient in R and experienced with SAS and STATA. In the first semester of my PhD program, I earned an A- in my course titled Principles of...See Marisa's full profile

...website data, and sharing insights. Much of this time was spent expanding knowledge related to impact evaluation, statistical inference/design, website metric evaluation, extracting value from data, and contributing to feature evaluation efforts....See James's full profile

I have programmed using The SAS System to conduct data processing, statistical inference, statistical modeling, and data visualization. I have written SAS code using macro programming. My programs included tools for sample size...See Jeff's full profile

...students are thoroughly prepared to excel. At the university level, I have designed and taught courses including Statistical Inference, Advanced Regression Analysis, Mathematical Statistics, and Data Science using R. I also mentor students through...See Bahaeddine's full profile

I hold a Ph.D. in Computer Science and have over 15 years of teaching experience, with a strong focus on data analysis. My expertise includes exploratory data analysis, statistical inference, data cleaning, and interpretation using tools...See Nitasha's full profile

I am prepared to help you with data management (both flat files and relational database), plotting (base graphics, ggplot2, and other packages), statistical inference (linear regression, logistic regression, frequentist null-hypothesis...See Eric's full profile

... algebra (~Harv AM21b), computation environment (R/python/C++, ~Harv CS50/109/165). I also teach extensively in statistics: inference (~Harv stat111), Bayesian methods and linear models. My students are mostly at the graduate and upper division undergraduate...See Peter's full profile

...data stack, and I've tutored several students both in how to use statistical software, but more importantly in the statistical inference. Statistics is *not* about how to run a regression, anyone can do that; it's about how to properly interpret data...See Thurston's full profile

...Engineer, I’ve developed and applied core data analysis skills such as data cleaning, exploratory data analysis (EDA), statistical inference, and hypothesis testing. I'm proficient in tools like Python (Pandas, NumPy, Matplotlib, Seaborn), Excel, SQL, and...See Renee's full profile

...learning theories, and inclusive classroom practices. As Head Teaching Assistant for both Bayesian Statistics and Statistical Inference—courses populated by 18- to 22-year-old undergraduates—I designed and led weekly recitation sessions of 25–30 students...See Christopher's full profile

Earned an A in Linear Algebra, Statistical Methods, Statistical Inference, Probability Modeling, and Regression Analysis courses.See Hudson's full profile

Exploring Data: Describing patterns and departures from patterns Sampling and Experimentation: Planning and conducting a study Anticipating Patterns: Exploring random phenomena using probability and simulation Statistical Inference:...See Jim's full profile

This includes methods that are employable in the presence of unmeasured confounders. I am well-versed in structural causal models and potential outcomes frameworks. Statistical inference for dependent data is also a research interest of mine.See Shane's full profile

I have a strong foundation in statistics, including experience with data analysis, hypothesis testing, probability theory, and statistical inference. I am skilled in using statistical methods to interpret data, calculate probabilities, and...See Tai's full profile

I specialize in breaking down challenging topics like exploratory data analysis, planning a study, probability, and statistical inferences in ways that make sense. Whether you're aiming to boost your grade, prep for an exam, or finally...See Craig's full profile

Other Economic Models include Qualitative and Limited Dependent Variable Models (Linear Probability Model, Probit Model, Models for Count Data), and Statistical Inferences.See Sarah's full profile

... covariance and correlation, various probability distributions of discrete and continuous variables: cdf, etc), statistical inference (confidence intervals, Chi-square, t distribution, p-value, hypothesis testing, etc), and regression. Also, as...See Mary's full profile