Do you have a question about statistics? Stats@Liverpool is a FREE service to help you boost your statistical skills.
Book a one to one appointment with a friendly Statistics Tutor for support in choosing statistical tests, using statistical packages and understanding statistical concepts.
Please select the relevant button below to choose whether you would like an online appointment delivered via Microsoft Teams, or an on-campus appointment delivered in-person in the Sydney Jones library.
I have a dual role at Liverpool University studying for a PhD and teaching students, both in relation to Computer Science in which I am a PGCE qualified teacher. I can assist you with advice on learning the Python programming language for importing, cleansing, processing and displaying data in a fast, flexible and useful manner. I am also experienced in other programming languages such as C++, JavaScript and using powerful Python libraries such as MatPlotLib to generate graphs or other visual representations and NumPy to provide many useful analysis tools.
I believe my teaching style and communication skills will be helpful and effective in identifying approaches in statistical analysis that will support your work and progress.
My name is Luke, I'm a second-year PhD student in economics. For economics students I can help with any form of econometrics, for non-economics students I can help with statistical relationships like regressions, creating and interpreting outputs from statistical software. I'm most proficient in Stata and EViews, to a lesser extent Python. For anyone who wants to make their written work look more professional, I can also teach you to code in LaTex.
I am a third-year PhD student based in the Geographic Data Science Lab within the School of Environmental Sciences. I am available to assist with statistics-related queries, including topics such as statistical testing, regression analysis, hypothesis testing, data visualisation, and spatial statistics.
I am proficient in several software tools and programming languages, including R, Python, SPSS, and GIS platforms, which I use regularly for data analysis, modeling, and geospatial analysis.
Although I come from a Geography background, I am happy to meet with students across all subjects. I can help with general statistical advice as well as help with technical problems.
I am a second-year PhD student within the School of Environmental Sciences, where I am researching sentence severity across the courts in England and Wales. I have a background in geographic data science and an undergraduate degree in criminology, so I have knowledge of coding and statisitcs in both these areas. I am happy to provide support across all disciplines, using tools like R for data visualisations, geographic mapping, regressions, and statistical tests. I can also provide similar help with Python, as well as general use of SPSS.
I am a 2nd year PhD student within the Management School using statistical models to forecast in-play football matches and I also have a Master's in Medical Statistics. I am more than happy to provide statistical support with all subjects across a range of statistical programs including R, STATA, Python and Minitab. If you have any queries understanding statistics from your classes, I can take the time to clearly provide an explanation to give you a push in the right direction!
I am a third year PhD student studying cell fate determination in early mammalian development. My research involves traditional laboratory science mixed with computational data analysis. This has included anything from the analysis of large gene expression datasets from publicly available sources to generating my own quantitative data from the confocal microscope.
Whether it’s comparing statistical tests or optimising and understanding your data analysis, I am here to help with any of your research questions. I primarily use Python but am also proficient in R and Excel so if you have a question we can find a solution together!
I am a third-year PhD student in the Institute of Life Course and Medical Sciences. My research involves a technique called proteomics, which allows for the analysis of proteins in biological samples. I have previously studied biochemistry and statistics during my undergraduate and master's degree. I am able to help students with general statistics advice as well as more specific tools, such as the R programming language, data visualisation, SPSS, Origin, and bioinformatic analysis.
I'm a third-year PhD researcher specializing in neuroimaging, with a focus on studying language pathways in the brain using MRI. My expertise lies in computational analysis, and I work with a range of tools daily to decipher complex data. My academic journey began with a background in Genetics and Molecular Biology during my undergraduate years, followed by a Master's degree in Neuroimaging. This diverse background equips me to assist you in various fields, from bioinformatics and genomics to psychology and neuroscience.
I'm your go-to guide for quantitative research questions. I'll assist you in selecting the most suitable statistical tests for your specific research needs. My primary tools include R for statistical tests and data visualizations, MATLAB for matrix operations, SPSS for a wide range of statistical tests and visuals, Excel for data organization and basic stats, and Python with numpy and pandas for data analysis.
Whether you're a fellow researcher or a student seeking statistical support, I'm here to simplify complex concepts and make statistics approachable.
I am a second-year PhD student in the Department of Primary Care and Mental Health studying forensic psychology. I completed an undergraduate degree in psychology overseas and earned a Master of Science in Investigative and Forensic Psychology at the University of Liverpool, both of which provided me with and allowed me to develop skills relating to statistics.
I am able to provide guidance on conducting statistical tests in SPSS. Over the course of my academic career, I have gained experience with t-tests, ANOVAs, regression analyses, inter-rater reliability analyses and choosing the right statistical test to answer a research question. Although my discipline is psychology, I am happy to assist students with other academic backgrounds by providing general statistical advice.
