Who this is for
- A-Level and university students studying statistics
- Economics, finance and social science students
- Students needing help with regression and inference
- Dissertation students working with quantitative data
Dr Nicky Grant offers online statistics tuition for economics, finance and social science students. Support covers probability, distributions, hypothesis testing, confidence intervals, regression, inference, data interpretation and econometrics foundations.
Applied statistics
Statistics for economics
and finance
Applied statistics support for students who need to understand probability, distributions, hypothesis testing, confidence intervals, regression and quantitative interpretation.
- From £100/hour
- Former lecturer at Manchester (2013 to 2019) and St Andrews (2019 to 2025)
- I reply within one business day
Subject match
Who this support is for
A quick match for the students, topics and goals covered.
Topics covered
- Probability and random variables
- Distributions and sampling
- Hypothesis testing and p-values
- Confidence intervals and estimation
- Regression and correlation
- Data interpretation and statistical writing
Free study notes
- Introduction to Econometrics: free course (first-year statistics, lessons 2 to 8)
- Hypothesis testing explained
- Confidence intervals & t-tests
- Normal, t, chi-square & F
- Hypothesis testing from first principles
- R-squared & goodness of fit
- Gauss-Markov & BLUE
- Econometrics explained
- Econometrics tutor
- Teaching materials
Credential match
Why this is specialist statistics support
Statistics tuition is strongest when formulae, intuition, distributions, tests and interpretation are connected to actual questions.
Relevant background
- Cambridge PhD economist with a strong statistical and econometric methods background.
- University-level teaching in econometrics, inference and quantitative analysis.
- Research background involving GMM, moment conditions and asymptotic inference.
- Free probability, regression and econometrics resources support the tutoring pages.
Useful checks
Get started
A free 30-minute consultation, with no obligation. The rate is confirmed before any paid session.
What this support covers
Focused
specialist support
Built for economists
Statistics is taught through the problems students actually face in economics, finance and econometrics.
From intuition to maths
Sessions move from concept to formula to application, avoiding both rote methods and abstract overload.
Regression and inference
Strong support for OLS, t-tests, F-tests, confidence intervals, standard errors and model interpretation.
Exam and coursework support
Work through problem sets, lecture notes, past papers and data output.
Free video lectures
Statistics foundations
on video
Two full lectures from Dr Grant’s university teaching, free to watch: discrete probability from first principles, and the logic of sampling, estimation and hypothesis testing. A useful starting point before a first session, more on the YouTube channel.
Discrete probability
Full lecture · 29 min. Discrete probability from first principles, sample spaces, events, random variables, mass functions and expectation.
Sampling, estimation & hypothesis testing
Full lecture · 30 min. The logic of inference, estimators, sampling distributions and hypothesis testing, worked through the Bernoulli distribution.
Prefer to work through this material live, at your level? Book a free consultation.
Reviews
What students say
“Nicky is an excellent econometrics tutor. He explains complex concepts clearly and makes them much easier to understand.”
“I was completely lost in my economics class, and then I started working Nicky and he totally saved me. He was excellent at explaining the material and extremely accommodating to meet with me many times despite us being in different time zones! Highly recommend working with Nicky!”
“Nicky is a very good and thorough teacher. He has excellent knowledge of econometrics and takes the time to work through your questions. Highly recommended!”
“Really great tutor! Encouraging, knowledgeable, friendly”
“Very good lesson, Nicky is very helpful.”
“Very helpful and clear.”
“I gather it was very useful, thank you!”
“Fantastic!”
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Dr Nicky Grant
ORCID 0009-0008-8979-4623
Taught by an active teacher and researcher
- 2019 to 2025
- Associate Lecturer in Economics (Education Focused), University of St Andrews. Module design, lecturing, setting and marking exams, and supervising dissertations in applied econometrics.
- 2013 to 2019
- Lecturer, University of Manchester. Teaching across applied and theoretical econometrics.
- 2013
- PhD in Economics, University of Cambridge. Thesis “Estimation & Inference Under Non-Standard Conditions”, supervised by Professor Richard J. Smith.
- Research
- Published in International Tax and Public Finance (2019) and Advances in Econometrics (2012). CeMMAP working papers CWP05/19 and CWP23/18 with Richard J. Smith.
Pricing
| Statistics, university and postgraduate | From £100/hour |
|---|---|
| Packages of sessions | Discounts available |
| First consultation, 30 minutes | Free |
Per-session booking, no upfront commitment. The exact rate is confirmed at the free consultation.
Send an enquiry from right here
Useful details to include: module title, topic list, deadline, software used, problem set or dissertation topic, and what you are stuck on.
Dr Nicky Grant reads every enquiry and replies within one business day.
Email[email protected]
Phone+44 7393 352 331
WhatsAppMessage on WhatsApp
LocationManchester / Online International and UK-wide
Questions
Common
questions
Yes, especially where it supports economics, finance, psychology, social science, business or quantitative methods modules.
Yes. A common session is interpreting tables, coefficients, standard errors, p-values, confidence intervals and diagnostics.
Yes. Sessions can start from probability, distributions and sampling, then build up to inference and regression.
Start with a
free consultation
Send the course, exam board, module outline or assignment brief. The first conversation establishes exactly where support will have the highest return.