Centre for Continuing Education

Statistics Course for Non-Statisticians

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This statistics course is intended for professionals required to collate, interpret and analyse data. An ability to interpret statistics and data is important for many professions for making decisions based on valid interpretations of statistics and data. This course caters for demand across all sectors and disciplines such as finance, health and the social sciences.

This statistics course enables you to acquire skills in understanding statistical terminology and interpreting data. It also provides an introduction to testing for statistical significance, when dealing with sample data. We will examine different types of data and develop evidence-based judgements. In so doing, we will apply tests of statistical significance, interpret p-values, determine confidence intervals and consider Bayesian methodology.

Objectives

These objectives include:

  • Increasing your use of statistical terminology.
  • Building your familiarity with sample design considerations when choosing a statistical testing procedure.
  • Determining sample sizes for achieving required levels of statistical confidence.
  • Generating hypotheses for testing.
  • Selecting between parametric versus non-parametric statistical testing.
  • How to conduct statistical testing and interpret findings.
  • How to interpret correlation and regression.

Outcomes

Upon successful completion of this course, participants should be able to:

  1. Use statistical terminology for designing research, interpreting data and reporting conclusions.
  2. Select a sample design for answering a research question.
  3. Represent data for making meaningful interpretations.
  4. Select between a parametric and non-parametric test based on underlying assumptions.
  5. Test a hypothesis using statistics, drawing conclusions and evidence-based decisions.
  6. Interpret statistical findings using confidence intervals and by applying Bayesian thinking.

Content

Introduction to statistical terminology

Understanding terms such as statistics, probability, sample frames, sample designs, statistical confidence, p-values, type 1 and type 2 errors, parametric versus non-parametric testing, data distributions, measures of central tendency, standard deviation.

Sampling considerations as a pre-requisite to statistical testing

Use of probability samples versus convenience/ non-probability sampling. Implications of sample design in choice of statistical testing.

Ways of processing data

Use of Box and Whisker plots, application of central limit theorem, processing data from different underlying data distributions.

Use of parametric testing

Z-tests and t-tests using the standard normal distribution. Interpreting statistical tables. Understanding the implications of type 1 and type 2 errors.

Hypothesis testing with test statistics

Formulating the hypothesis, selecting an appropriate test, choosing level of significance, determining critical value or p-value, accepting/ rejecting the null hypothesis.

Analysis of variance, correlation and regression

Testing multiple samples, an introduction to multivariate analysis.

Use of non-parametric testing and Bayesian statistics

When and how to use a chi-square test, questions for answering with Bayesian statistics.

Intended Audience

This course is suitable for participants from all sectors – commercial, government, and education and not-for-profit. You are likely to be reviewing data sets or interpreting research reports and are seeking to do so with increased proficiency. This course is suitable for those without formal training in statistics; or looking for an introduction to statistics before seeking out more formal learning; or are looking for a refresher program.

Delivery Style

Coursework consists of mini-lectures, followed by practial exercises. These exercises are completed individually, in pairs, small groups and amongst the entire class so as to build both your theoretical knowledge and practical skills.

Features

  • Expert trainers
  • Central locations
  • Small class sizes
  • Free, expert advice
  • Student materials – yours to keep
  • Statement of completion

What others say.

  • The course level and content was right where I needed it to be. I came to find out what I don’t know, and what I need to further reading/study. I filled in some of my knowledge gaps and I am much clearer about what else I now need.

Enrol Now
There are places available
Statistics Course for Non-Statisticians
University of Sydney (Venue TBA)
$433 GST free

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Enrol Now
There are places available
Statistics Course for Non-Statisticians
University of Sydney (Venue TBA)
$433 GST free

Course added to cart.

Proceed to Checkout Close this message
Enrol Now
There are places available
Statistics Course for Non-Statisticians
University of Sydney (Venue TBA)
$433 GST free

Course added to cart.

Proceed to Checkout Close this message
Enrol Now
There are places available
Statistics Course for Non-Statisticians
University of Sydney (Venue TBA)
$433 GST free

Course added to cart.

Proceed to Checkout Close this message
Enrol Now
There are places available
If there isn't a class to suit you, please join the waiting list.