The Best ANOVA Tutoring Online

...probability, probability distributions, sampling distributions, point and confidence interval estimates, hypothesis testing, ANOVA, linear regression, chi-squared testing Microsoft Excel: including topics: basic operations, charts/graphing, pivot ...See Kevin's full profile

Specifically, I address conceptual material, teach computational procedures, and employ the use of SPSS statistical programming for topics such as data description, variance and variability, hypothesis testing (e.g., t-tests, ANOVAs),...See Chelsea's full profile

I have used Stata for 10 years to manage data (cleaning, merging, appending data sets) and for data analysis including t-tests, ANOVA, linear and logistic regression models, and structural equation models. See Stephanie's full profile

...econometric models. I am proficient in R and skilled at breaking down concepts like variable selection, hypothesis testing, and ANOVA. My strong analytical background and clear communication style make me well-suited to guide students through both theory...See Michael's full profile

... correlation, hypothesis testing, t-tests, analysis of variance and covariance, linear regression, logistic regression, ANOVA (one way, two way/ factorial and repeated measures), ANCOVA and chi-square tests. The student did well and her review is...See Julie's full profile

...distributions) as well as statistical analysis (z-scores and z-tests, t-tests, confidence intervals, Chi-square tests, and ANOVA). I also cover planning and interpreting surveys, studies, and experiments; and probabilities of independent and dependent...See Philip's full profile

...Testing (z-tests, t-tests, p-values). • Statistical Modeling: Linear Regression, Correlation, and Analysis of Variance (ANOVA). • Survival Analysis: Kaplan-Meier curves, log-rank tests, and Cox proportional hazards models. • Causal Inference:...See Weien's full profile

Today, I help students at all levels make sense of statistics through a practical, step-by-step approach. We cover quantitative and qualitative methods, hypothesis testing, confidence intervals, regressions, and ANOVA. I also explain how to...See Yves's full profile

I can help you understand sampling distributions, hypothesis testing, confidence intervals, correlation, linear regression, ANOVA, Chi-squared tests and more. I can also teach you how to use the statistical functions of your TI calculator,...See Yvan's full profile

I am an expert in theory, research methods, statistics and academic writing. Specifically, I can teach statistical techniques and concepts such as ANOVA, linear regression, chi-square, standard deviation, confidence intervals and hypothesis...See Dr. Natasha's full profile

Having been self-taught through mainly YouTube videos, I have helped several students using SPSS with the topics including but not limited to: ANOVA, Independent T-Test, Linear Regression.See Shameer's full profile

I am an expert in research design and statistical analysis including descriptive statistics and t-tests, anova, regression, structural equation modeling (SEM), multiple regression, MANOVA, and repeated measures anova, and more. I...See Meredith's full profile

...hypothesis testing, including the Chi-squared test, to advanced time series analysis, regression modeling, analysis of variance (ANOVA), and Monte Carlo simulation. With a comprehensive background in Python, Power BI, Microsoft Fabric, Data Analysis ToolPak...See Jordan's full profile

...Marketing Communications, and Research Methods. Recently I have been a guest lecturer on the topics of Correlation, Regression, Anova and Cross-tabulation methods. I love teaching and I enjoy helping students understand how they can become better at a ...See Sree's full profile

Advanced Statistical Analysis: Expertise in a variety of statistical techniques including regression analysis (e.g., linear, multiple, logistic), ANOVA, structural equation modeling (SEM), factor analysis, and path analysis. I have utilized...See Ashley's full profile

...normal distribution, sampling, hypothesis testing, z scores, probabilities, t-tests, chi-squared tests, ANOVA (ANCOVA, MANOVA, repeated measures ANOVA), regression (including linear regression, multiple regression, polynomial regression, logistic regression...See Lindsay's full profile

...sampling distributions; the Central Limit Theory & the empirical rule; confidence intervals & hypothesis testing; chi-square & ANOVA tests; and simple regression analysis....See Richard's full profile

I was also a teaching assistant for a course called Research Design and Methods, which involved data analysis using Student's t tests, Regression, and ANOVA; I also received an A in the course when I took it.See Rich's full profile

Confidence Interval 11. alpha vs. beta error 12. Minimum quantity and error 13. Simple Linear Regression Analysis 14. Correlation Coefficient 15. ANOVA (Analysis of Variance) I recently taught Introduction to Statistics at Burlington...See Ira's full profile

...Probability, expected value, conditional probability - Sampling methods and study design - Z-tests, t-tests, chi-square, ANOVA, Type I/II errors - Confidence intervals and hypothesis testing - Linear & multiple regression (including real data sets...See Ashesh's full profile

This dynamic approach has helped pre-med students conquer MCAT psychology sections, guided undergraduates through rigorous research projects, and empowered graduate students to craft compelling dissertations. Whether breaking down ANOVA...See David F.'s full profile

In addition, I teach R programming for Data Cleaning, Exploratory Data Analysis, and Statistical Modeling using Inferential Statistics, ANOVA, Regression, Correlation, Mixed Models, Machine Learning, and Spatial Statistics. See Mohsin's full profile

I taught an undergraduate SPSS and research methods course covering the basics of the software. Analyses covered in detail included t-tests, ANOVA, correlations, and linear regression. Presentations and guides available upon request.See Lyubo's full profile

...normal distributions, T-tests, P-tests, hypothesis testing) and intermediate statistics (regression, correlation, F-tests, ANOVA, hierarchical clustering, principal component analysis, multivariate analysis). I use statistics everyday in my regular ...See Peter's full profile

I am comfortable working with the following concepts: sampling, calculations/formulas, discrete and continuous distributions, the Central Limit Theorem, confidence intervals, hypothesis testing, linear regression, and ANOVA, among...See David's full profile