New York Statistics Tutoring
New York Probability Tutoring

Probability tutoring covers topics in counting, multiplication rule, permutation, combination, etc. Then we move on to discrete and continuous random variables and probability distributions. Special topics used in Financial economics and stochastic calculus include Monte Carlo, Markov Chain, etc.
New York Inferential Statistics Tutoring

Inferential Statistics tutoring covers topics like probability distributions, moment generating functions or MGFs, Estimators, developing hypothesis testing procedures, confidence intervals, ANOVA, Non parametric Statistics, regression, etc.
New York Descriptive Statistics Tutoring

Descriptive statistics tutoring covers lighter topics that are used to visualize the data. This involves, analyzing and creating tables, charts and plots such as histograms, bar and box plots, etc using R studio, Stata SPSS, SAS, etc.
Thesis Tutoring

I help statistics and economics majors in their thesis. This includes developing the research topic, designing the questionnaire, getting data from nationwide surveys like ECLS, NHANES, YRBS, etc, or implementing your own survey, data cleaning, and processing data and writing the results.
I can also help social science majors, nursing and education students in their thesis or dissertation. I also help in reviewing articles and in article critiques. I can help you in thesis requiring SPSS, SAS, JMP, Minitab, Excel, R Studio, Stata, etc
New York Econometrics Tutoring

Econometrics tutoring combines knowledge in statistics, economics, and computing. I help in Stata, and R studio, Eviews for time series, as well as SPSS, SAS, Minitab, JMP. etc. In higher level econometrics, causal effect if the goal. I help in techniques such as instrumental variables and 2SLS, difference in difference, regression discontinuity design, and propensity score matching.
New York Biostatistics Tutoring

Biostatistics tutoring covers topics like hypothesis testing, confidence intervals, ANOVA, , regression, logistic regression, non-parametric statistics, survival analysis, ROC curves, etc.
MLE for Gamma and MLE for Exponential
Steps in deriving the maximum likelihood estimator.
Binomial and Poisson Random variables
Steps in calculating the probability of a random variable with Binomial and Poisson distribution
Probability – Counting
Multiplication Rule and General Counting Procedures
Maximum Likelihood Estimator MLE – Step by Step
How to solve the maximum likelihood estimator.
Stata and R studio sample work
Check out this great video
Confidence Interval and Power
How to Calculate Sample Size Given the Power
How to Calculate the confidence interval
Power of a Test
How to Calculate the Power on One Sided Test