Intermediate Statistics
25 March 2025 and 9 & 10 December 2025
Summary
- Certificate of attendance - Free
- Tutor is available to students
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Dates
Overview
This course will be delivered over 2 morning sessions on 25 March 2025 and 9 & 10 December 2025
By the end of this course the attendees will:
Understand what is meant by the term Analysis of Variance (ANOVA) and the different ANOVA models available
Assess when it is appropriate to fit an analysis of variance
Interpret the result s of an analysis of variance
Assess model fit
Present the results of an analysis of variance
Understand what is meant by the term multiple linear regression
Assess when it is appropriate to fit a multiple linear regression model
Carry out a regression analysis using free software
Interpret the results of a multiple linear regression analysis
Assess model fit
Present the results of a multiple linear regression analysis
Certificates
Certificate of attendance
Digital certificate - Included
Course media
Description
Multiple linear regression is one of the most commonly used techniques in statistics and allows for the impact of multiple variables to be assessed simultaneously. The analysis of variance (ANOVA) is a related technique which allows the mean values of several groups to be compared. This course will equip participants with the skills necessary to undertake both types of analysis using free software, understand and interpret the output, check the assumptions that underpin each type of model, and present the results coherently.
Topics Covered
The morning will start with a brief recap on the concepts of hypothesis testing and choosing the right test. This will include the basic use of Jamovi to carry out and interpret an independent t-test before progressing to the related technique ANOVA. Assumption checking, two-way ANOVA’s and interactions will conclude the morning.
The afternoon starts with correlation and simple linear regression to assess the relationship between two continuous variables before concentrating on multiple regression which allows multiple variables to be tested simultaneously. Both sessions will concentrate on producing and understanding outputs rather than mathematical content with regular exercises to reinforce learning.
Who is this course for?
This course is aimed at individuals who have some basic statistical knowledge and who wish to undertake analyses of quantitative data and who therefore wish to gain some insight into how to undertake these.
Requirements
Basic statistical knowledge as the course is designed as a follow-on from our Basic Statistics course.
Delegates will need to download the latest version of Jamovi onto their laptop.
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Provider
'Our vision is a world where data are at the heart of understanding and decision-making.'
We are the Royal Statistical Society (RSS) one of the world’s leading organisations advocating for the importance of statistics and data. We’re a professional body for all statisticians and data analysts – wherever they may live.
We have more than 10,000 members in the UK and across the world. As a charity, we advocate for the key role of statistics and data in society, and work to ensure that policy formulation and decision making are informed by evidence for the public good.
RSS focuses on strengthening the discipline of statistics, teaching statistical literacy, developing professional skills and campaigning for effective use of statistics for the public good.
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Legal information
This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
