Description:

BASIC STATISTICS WITH R introduces statistical concepts in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support.

Start: Monday, 03 June 2024 @ 09:00

End: Tuesday, 04 June 2024 @ 15:30

Duration: 2 days, 9 am - 3.30 pm

Timezone: Melbourne

Venue: Online via Zoom, or in person Physical Sciences 2 Room 330

City: Bundoora  Country: Australia  Postcode: 3086

Prerequisites:

A basic understanding of statistics is helpful but not essential. No prior knowledge of R is assumed.

Learning Objectives:

TOPICS COVERED:
• Introduction to R
• Importing & exporting data sets
• Numerical & graphical summaries of data
• Descriptive statistics & plots
• Hypothesis testing (t-tests, ANOVA & Chi-squared tests)
• Confidence intervals & p-values
• Simple linear regression
• Power & sample size considerations.

The R package will be used within the user friendly R-Studio interface.

Eligibility:
  • Open to all

Organiser: La Trobe University Statistics Consultancy Platform

Contact: Statistics.Consultancy@latrobe.edu.au

Host institution: La Trobe University

Keywords: Statistics, R statistical software

Target audience:
  • researcher
  • research students

Capacity: 20

Event type:
  • Workshop

Cost Basis: Cost incurred by all

Basic Statistics with R (hybrid) https://dresa.org.au/events/basic-statistics-with-r-0d7173e4-ef87-49a5-9f2a-14418cb41adb BASIC STATISTICS WITH R introduces statistical concepts in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2024-06-03 09:00:00 UTC 2024-06-04 15:30:00 UTC La Trobe University Statistics Consultancy Platform Online via Zoom, or in person Physical Sciences 2 Room 330, Bundoora, Australia Online via Zoom, or in person Physical Sciences 2 Room 330 Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researcherresearch students 20 workshop open_to_all StatisticsR statistical software