Advanced-level Tutor on STATISTICS,
FINANCE, ECONOMICS, MATHEMATICS,
ACCOUNTING, NURSING, BIOSTATISTICS,
I am an advanced Statistics/Finance Tutor
capable of tutoring you University
Graduate-level and Undergraduate-level
Statistics/Finance class that you are
currently taking. I can also provide
Research Consulting Services on your Projects, Assignments, Thesis, Dissertation, and any
business/class Research Publication(s).
I am also very comfortable in conducting
Strategic Management Consulting services
on Corporations and/or business needs.
Also in Asset & Portfolio Management,
Capital Investments, International
Business & Marketing, Business Communication
and Writing, and Accounting & Financial Accounting. Research, Research Methodology, and Research Publications.
I have been teaching and/or tutoring
statistics-related and research methods
at undergraduate and graduate levels for many
fields-of-study, especially Economics/Finance,
Nursing, Sociology, Psychology, Education,
and social sciences majors for several years.
In addition, I help students with designing
and writing analysis and method sections of
their undergraduate and graduate level
thesis/dissertation and editing their
I use Microsoft Excel and SPPS for statistical
analysis and have basic knowledge of eViews,
Stata, SAS, and Minitab.
However, SPSS is my strongest strength and
most familiar with.
Statistics is not a scary subject as long
as you find the right tutor. I would be
happy to assist you in understanding and
gaining a command of research methods
My Complete Statistics/Finance Tutoring
Info are posted on:
Please send to email-address listed on
above URL link for additional information.
My direct email-address is listed on the
www.juntak.org URL link. We can communicate
via telephone, email, and video-conference
Statistics is considered a "universal language"
utilized in every field of study (Business,
Management, Economics, Information Technology,
Science, Engineering, Social Sciences,
Mathematics, Education, Sociology, Religion,
Psychology, Operations, Health Administration,
Public Administration, and many other fields
The main difference lies in the use of
Statistics in the interpretation of
Statistics Outputs that you obtained via
various statistical software.
I can help you on your research work, and
interpret what your statistical outputs
mean, and how to obtain them.
Depending upon where you are in your
research, I can handle all of the
statistical considerations for your
dissertation methods or results chapter.
• I use the latest version of SPSS
software and SAS to perform the
statistical analyses for you.
• I can perform virtually any conventional
statistical analysis that may be needed.
• I offer on-going telephone and email
support to ensure that you understand
all of the statistical methods and tests
used in your dissertation/thesis/project.
• Assist in the statistical analysis for
candidates working on their thesis and
• Train individuals and companies in many
different software packages, including
SAS, SPSS, Minitab, Microsoft Excel,
and Eview Econometrics Software.
• Perform statistical analysis and consulting
for clients in the Market Research,
Legal and Healthcare fields.
• Tutor undergraduate and graduate students
in the field of math and statistics.
Some of the more common statistical methods
that I use are listed below:
QM / PQM
Repeated Measures ANOVA
Wilcoxon Signed-Ranks Test
Tutor for Math, Finance, Economics, SPSS,
Statistics, and Strategic Management
(Undergraduate, Masters, and PhD levels).
I specialize in serving university-level clients
who are adults, students, professionals, and
military. Furthermore, I am very comfortable
with traditional and non-traditional
individuals with different backgrounds.
I will also be very helpful, and useful to students
who are currently writing-up their Master's
Thesis, or PhD dissertation on their Graduate
studies in School. I can be your proof-reader,
and help you write some portions of your
Finance (Undergraduate, and Graduate Level):
* Corporate Finance,
* International Finance,
* Business Finance, and others.
Statistics (Undergrad and Grad Level):
* Business Statistics,
* General/Intermediate/Advanced Statistics,
* Statistical Softwares: SPSS, SAS, Minitab,
Microsoft Excel, R, eViews.
* Statistics for Nursing in Medical Fields.
Economics (Undergrad and Grad Level):
* Micro/Macro Economics,
* Managerial Economics,
* Engineering Economics for Engineers,
* Engineering Mathematical Economics,
* Econometrics I, II, and III, and others.
Graphical analysis: time series plots and histograms
Descriptive statistics: moments, quantiles and
frequency tables Central tendency measures:
sample mean, median and mode
Dispersion measures: sample variance, standard
deviation and range
Association measures: linear and rank correlation
Sampling issues: Chebyshev's theorem
Overview of set theory: sample space and events
Relative frequency and event likelihood
Conditional probability: Bayes rule and independence
Random variables: discrete and continuous distributions
Inference: sample × population moments
Estimation: maximum likelihood × method of moments
Asymptotic results: law of large numbers and
central limit theorem
Hypothesis testing and confidence intervals
The standard linear regression model
Estimation: Assumptions and the geometry of
Inference: Tests of hypothesis
Asymptotic properties: Assumptions, consistency
Gauss-Newton regression: Residual analyses
Maximum likelihood: Estimation and testing
Extensions to the standard linear regression model
Estimation and inference under heteroskedasticity: Generalized least squares
Estimation and inference under autocorrelation: Introduction to dynamic models
Endogeneity and mensurement errors: Instrumental variables
Advanced topics (if there is enough time)
Nonlinear least squares
Binomial response models: Probit and Logit
Simulation-based methods: Monte Carlo and bootstrap
Fundamental concepts of statistical inference
Statistical model, decision space and loss function
Optimal decision rules: pure and randomized
Statistical principles: equivariance, invariance and unbiasedness
Dominated family: Radon-Nikodyn theorem and
Conditional expectation and probability:
Halmos-Savage theorem and properties
Neyman-Pearson factorization criterion
Minimal sufficient statistics
Privileged statistic and minimal sufficiency
Random sampling of exponential models
Moments of privileged statistics
Distribution free and complete statistics
Ancillarity principle, complete and disconnected statistics
Basu's theorem and Fisher's lemma
Rao-Blackwell theorem and Lehmann-Scheffé
theorem: UMRU estimators
Invariance and the principle of equivariance:
Invariants e maximal invariants: Pitman estimators
Neyman's principle: UMP tests and the
Least favorable distribution, (L)UMPU tests
and nuisance parameters
Please visit www.juntak.org for information.
I can only tutor in the Hampton Roads area:
* Virginia Beach,
* Newport News,
PHONE (Hampton Roads, VA): 757-726-7004
Calculus 1, Multivariable Calculus, Microeconomics, Math, Math, Macroeconomics, Finance, Economics, Differential Equations, Developmental Algebra, College Algebra, Calculus 3, Calculus 2, AP Macroeconomics, Business Statistics, Business, AP Calculus BC, AP Calculus AB, Probability, Pre-Calculus, Pre-Algebra, Trigonometry, AP Statistics, Applied Mathematics, AP Microeconomics, Statistics, Statistics Graduate Level
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