Statistics Course: Level 2

Statistics Course: Level 2

Statistics short courses in Sydney, open to everyone.

Learn to make good business decisions based on your data with our Statistics courses in Sydney.

Learn Statistics with our Statistics courses in Sydney - short courses open to everyone.

This statistics course follows on from Statistics Course: Level 1. This statistics course will build on your capability to make evidence based judgments. You will develop practical skills in manipulating data sets to form judgements based on statistical principles. To do so, this course introduces you to a taxonomy of statistical tests. The types of frequency distributions from which data was obtained is first examined and then depending on the assumptions made, we will then choose either a parametric or non-parametric statistical test for any hypotheses made in relation to the data sets being examined. We will evaluate the conclusions drawn using significance levels.

In addition to utilising classical inferential statistics, we will also apply Bayesian analysis for deriving additional meaning from our data sets. This will include an examination of confidence intervals and the ‘new statistics’.

This statistics course will also examine forecasting data into future time periods. We will explore the area of statistical process control from a quality perspective and look at the ways in which data analysis can enable us to more effectively manage risk from a quantitative perspective.

Although this course will integrate its learning outcomes, Statistics Course: Level 1 is not a prerequisite for this course.

Learning Outcomes

At the completion of this statistics course you will be able to:

  1. Determine an appropriate statistical test for a set of data Discerning between a z-test and a t-test for normal data distributions and whether the test should be 1-tailed or 2-tailed.
  2. Understand significance levels and p-values Apply non-parametric tests when no assumption is made about the underlying normality of the data set.
  3. Examine data using Bayesian principles to determine what the data and only the data says about a research problem.
  4. Draw conclusions using confidence intervals around summarised data Forecast data using time-series analysis.
  5. Understand the basis and application of statistical quality control principles.
  6. Refine your quantitative decision-making skills when confronted with commercial risk.

Course Content

Taxonomy of statistical tests.

Discrete vs continuous distributions

  • Binomial distribution.
  • Poisson distribution.
  • Normal distribution.
  • Exponential distribution.

Parametric statistics

  • Z tests and t-tests.

Non-parametric statistics

  • Runs test.
  • Mann-Whitney U Test.
  • Sign test.

Bayesian Statistics

The New Statistics and Confidence Intervals

Time-series forecasting

  • Smoothing techniques.
  • Trend analysis.
  • Seasonal effects.
  • Index numbers.
  • Multiple linear regression.

Statistical Quality Control

  • Flowcharts.
  • Control charts.
  • Pareto Analysis.
  • Cause and effect (fish bone diagrams).
  • Six Sigma.

Decision-making under risk

  • Decision table.
  • Maximax, Maximin, Minimax.
  • Decision trees.
  • Expected values.
  • Utility and risk preference.

Intended Audience

This statistics course takes those with a fundamental understanding of statistics to the next level. This statistics course can also be taken as a refresher course for people who need to interpret simple statistics in reports and the media and for those who wish to employ some basic statistical analysis in the work they do.

Delivery Style

This statistics course will be delivered as an interactive workshop consisting of an instructor-led tuition, supported by class activities. This training approach allows participants to work through concepts introduced by the instructor in an application-focused teaching environment.

Course Prerequisites

This statistics course has no prerequisites and is open to all members of the public.

About your instructor

John Scott

John Scott applies the latest advanced practices in the fields of business, leadership, organisational psychology, analytics and engineering to educational delivery. He has been involved in management and training for more than 30 years. He has held senior corporate and general management positions for multinationals across a range of industries, both in Australia and overseas.

As a global management consultant, John captures the most recent thinking and practices in the short courses he teaches at the University of Newcastle. John is multi-disciplinary, being degree qualified in business, psychology and statistics. He is also an accredited lean engineering practitioner. He has spent the last 15 years designing courses for a range of leading Australian universities, as well as one of the world’s largest private universities. With this background John brings to the University of Newcastle the most up to date short courses that will help equip today’s professional in global leading practices.


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Statistics Courses

CourseNext Available
Statistics Course: Level 1Tue 4 Jun 2019

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