Course Details and Schedule

This is a statistical concepts course, an ideas course, a think-in-pictures course. What are the basic notions and constructs of statistics? Why do we differentiate between a population and a sample? How do we summarise and describe sample information? Why, and how, do we compare data with expectations? How do hypotheses arise and how do we set about testing them? With inherent uncertainty in any sample, how can one extrapolate from a sample to the population? And then, how strong are our conclusions? This course is designed to prepare you to get the most from the statistical applications that we teach. It involves discussion of real-life examples and interpretation of data. We strive to avoid mathematical symbols, notation and formulae.

See below for course schedule

Key topics
  • Descriptive statistics and graphics
  • Population and sample
  • Probability and probability distributions
  • Comparing conditional distributions
  • Confidence intervals
  • Linear regression
  • Hypothesis testing
  • From problem - to data - to conclusions
Course information
Intended audience This course is designed for people with no or little exposure to statistics -- even those suffering some 'statistical anxiety' -- who need to use statistics in their research
Prior knowledge Know how to calculate an average.
Resources A course book must be purchased when you attend the course (included in the Cost below)
Format Presentation with practical exercises
Further information Lunch and refreshments are provided.
Where next? Courses in basic statistics and statistical computing in one of the popular statistical packages such as R, SPSS, Stata or NVivo would be a good follow on.

Taught using:N/A

Course provider: IT Learning Programme

Schedule

Frequency: Every term subject to teacher availability. Express an interest in future dates for this course.