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MASH : Maths and Stats Help

Support for Learning Descriptive and Inferential Statistics

MASH is here to support your learning, here we offer suggestions of resources as well as MASH made resources that should help you:

  • Understand concepts
  • Choose appropriate statistics tests
  • Carry out the stats on common software
  • Interpret your outputs

We understand that students seek support from various baselines and that courses have different requirements. Because of this, we offer an array of suggestions, please explore these, as well as some MASH made resources developed based on our experience of common queries. Our aim is to help you develop greater confidence and understanding of mathematical and statistical concepts throughout your academic journey.   

Explore our resources, join our Supported Study Sessions or see our Workshops offerings. If you need further help, you can also make group and 1-1 appointments.

 

Jamovi is a statistical analysis tool is. It is a free, open-source software package, with a user friendly interface that is powered by R. You can download it onto your computer or use their cloud version from their website, or access it via Apps Anywhere. Please see out Stats/Maths Software page.

 

For help with how to use Jamovi, we recommend using their help guide and community forum.

Jamovi Help Manual

Jamovi Help Forum

 

Step-by-Step Guides

 

We have produced some Jamovi Guides which show you the Step-By-Step process of carrying our some common statistical test and processes. These guides also show examples of the output and the write-up of each test.

Independent t-test

Paired t-Test

Mann-Whitney U Test

Wilcoxon Signed Ranks Test

Pearsons Correlation Test

 

RStudio is free, open-source software. It's a commonly used user-friendly and accessible integrated environment for R. You can access R/RStudio on the University computers, through AppsAnywhere or install it onto your own computer.

There are many ways to approach using RStudio and a huge amount of guidance can be found online. Here are a selection from which you can start exploring.

Posit Cheatsheets

Data Tidying with tidyr Cheatsheet (pdf)

ggplot2 Cheatsheet

RStudio Education

Hands-On Programming with R

 

Step-by-Step Statistics Guides with R

We have developed some guides to help you with carrying out a number of commonly used statistical tests. This list of statistical tests is not exhaustive.

There are many ways to get to the results you are after in R, these guides show you one way to get to those. To keep things as straightforward as we can, base R has been used wherever possible. If a package makes things a lot simpler, we have included details of what to install. We show you examples of the output that will be produced, as well as an example of how you could report it using the correct APA style.

Descriptive Statistics

Levene's test for Homogeneity

Independent Samples t-Test

Paired Samples t-Test

Mann-Whitney U Test

Wilcoxon Signed Rank Test

One-Way Between Subjects ANOVA

Kruskal-Wallis H Test

Cronbach's Alpha

 

 

SPSS is a long established statistical package used across various disciplines. You can access it on the University computers and via AppsAnywhere. You can also install it on your own machine, to do so you will need to follow DT guidance and use the licencing codes they provide.

There are countless books and resources on how to use SPSS, here are a few to get you started exploring:

Laerd Statistics - Data in SPSS

SPSS Tutorials Site

Discovering Statistics with Andy Field

 

Step-by-Step Statistics Guides with SPSS

Our guides include screen shots, output and an example of a write-up for the test in APA style.

Independent Samples t-Test

Paired Samples t-Test

Mann Whitney U Test

Wilcoxon Signed-Ranks Test

One-Way Between Subjects ANOVA

One-Way Repeated Measures ANOVA

Two-Way Mixed ANOVA

ANCOVA (One Way Between Subjects)

Kruskal Wallis H-Test

Friedman's ANOVA

Pearson's 'r' Correlation

Spearman's Rho (ρ) Correlation

Simple Linear Regression

Multiple Linear Regression

Chi-Squared (χ2) Test of Association

Shapiro-Wilk Test of Normality

Cronbach's Alpha (α)