Statistics for University Administrators using R (online)

Description:

Overview of 1-day course
Are you working in Student Analytics?

Ever been asked for the margin of error on a percentage?

Or if the difference between your percentage and a benchmark is statistically significant?

Or if the change in student retention rate from last year is statistically significant?

This one-day course provides participants with hands-on experience of analysing their own type of records for data-driven planning and confidently interpreting numerical results for reports to policy makers and committees, or for returns to the Higher Education Statistics Agency.

Presentations, demonstrations and hands-on computer practicals will make use of the free statistical software R; see https://www.r-project.org/.  Note the course does not focus on teaching R, but on the use of supplied R functions to perform statistical analyses of interest.  

Formulae are kept to a minimum; instead, we concentrate on results, their interpretation and reporting in plain language.

Cost
£270 (inclusive of 20% VAT) 

Delivery Mode
All training is online and will be delivered live on each day between 10:00 and 16:30 (GMT+1). The delivery platform is Zoom, which may be freely accessed. Questions may be asked using Zoom's chat box. Note we are a team of two presenters, so one of us is always available to provide additional support. We also use Zoom meetings rather than webinars to encourage further interaction during an online course.​

Who Should Attend?
Administrators in educational establishments working in Policy, Planning and Strategy units; Data and Insight units; Business Intelligence units; those involved in extracting actionable insights from student records and in reporting to policy makers or committees; those involved in producing returns to the HESA.  Anyone in these positions will benefit greatly from this course. No previous experience of the R software is required.

How You Will Benefit
By the end of the course you will be familiar with basic statistical methods for making sound assessments, and extracting actionable insights.

What Do We Cover?

• Estimation: standard errors and confidence intervals for percentages

• Comparing a percentage to a benchmark: one-sample z-test

• Comparing two percentages: two-sample z-test

• Comparing more than two percentages: chi-square test.

The course will make use of our R functions which will be made freely available. Note the course does not focus on teaching R, but on the use of the supplied R functions to perform statistical analyses covering the above syllabus.

Software
Practical work will be done in R.
Note:

• For practical work, participants must download and install the R software prior to the start of the course

• Practical work is based on the Windows operating system.

Cost:

£270

Website and registration:

Register for this course

Region:

International

Keywords:

Quantitative Data Handling and Data Analysis, Descriptive Statistics, Effect size , Statistical Theory and Methods of Inference, Parametric statistics, Student analytics, Data and insight, Business intelligence, Actionable insights, Hypothesis testing, Confidence intervals

Related publications and presentations from our eprints archive:

Quantitative Data Handling and Data Analysis
Descriptive Statistics
Effect size
Statistical Theory and Methods of Inference
Parametric statistics

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