I am an Economics PhD candidate. I have six years of experience teaching statistics, macroeconomics, and microeconomics. I am also Fulbright scholar; holding a bachelor?s degree in economics and mathematics as well as a master?s degree in economics. I have expert knowledge on the following topics: In statistics: basic probability, probability distributions (Binomial, Poisson, Hyper-geometric, and normal distribution), sampling distributions, parametric and non-parametric hypothesis testing, ... [more]
I teach an undergraduate statistics course. I have taught it for four years now. I have expert knowledge on descriptive statistics, probability, probability distributions, sampling distributions, hypothesis testing, regression, parametric and non parametric tests, survival analysis, time series analysis, panel data analysis, and more.
I have been teaching statistics for more than two years, and tutoring for much longer. I recently started helping students with Biostatistics. Topics I have helped students with include basic epidemiology concepts such as the extent of disease, its incidence, its prevalence, mortality rates, risk ratio, rate ratio, odds ratio, relative risk, and risk difference. I have also covered study design, sampling methods, and survival analysis. And of course, I have experience with probability, confidence interval estimation, sampling distributions, hypothesis testing, power and sample size determination, and regression. I frequently helped students with topics like: Student's t-test, Paired t-test, ANOVA, Mann-Whitney U test, Fisher's exact test, Chi-square test, Pearson's correlation, Spearman's correlation, Linear (bivariate and multiple) Regression, and Logistic Regression.
I am an economics PhD student at Fordham University. I have taken PhD level econometrics courses.
I am an economics PhD student at Fordham University. I have finished all my PhD level econometrics courses. I can help students with topics such as Systems of linear equations; Row reduction and echelon forms; Matrix operations; Linear dependence and independence; Subspaces, bases, and dimensions; Orthogonal bases and orthogonal projections; Linear models and least-squares problems; Determinants and their properties; Cramer's Rule; Eigenvalues and eigenvectors; Diagonalization of a matrix; Symmetric matrices; Positive definite matrices; and Singular Value Decomposition. I can provide you with transcripts and/or professors' testimonies. Please let me know if there is anything I need to do to assist you verify my qualifications.
I have been using STATA for data analysis since I was an undergraduate student. I used STATA extensively when I was writing my masters thesis, and I have used it even more heavily as PhD student in my econometrics classes. Right now I am using STATA for my PhD thesis. To be specific, I have used STATA for descriptive statistics, visualisations, hypothesis testing, survival analysis, multiple regression, panel data, time series analysis, logistic regression (logit and probit), and more.
I am an economics PhD student at Fordham University. I have taken PhD level econometrics courses in which I extensively used R. I have used R to run all sorts of regression models, and I have experience with Rnw and Rmd files for reproducible research. My favorite R packages are dplyr, ggplot2, googleVis, xtable, stargazer, zoo, xts, aer, tm, and vars.