Fundamentals of Statistics

This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences.

 
Level 1 - runs over 5 days
Instructor: 

Imma Guarnieri [BSc, Grad DipEd, Grad Dip Applied Science (Social Statistics), Masters of Biostatistics] is a sessional lecturer in the Department of Health Science and Biostatistics in the Faculty of Health, Arts and Design at Swinburne University of Technology, Melbourne. She has been teaching the Introductory Statistics course to postgraduate students for the last 20 years. She has also been involved in the development of introductory statistics course notes for both undergraduate and postgraduate students and is a guest lecturer for educational institutions.

Course dates: Monday 18 January 2016 - Friday 22 January 2016
Course status: Course completed (no new applicants)
Week: 
Week 1
About this course: 

In this course you will obtain a solid foundation in basic statistical concepts and procedures in order to progress with some confidence into more advanced topics. This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences.

 

Our approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory.

 

Participants familiar with the use of a package, but lacking statistical training should also start with this course. The statistical package SPSS will be used where appropriate as a teaching tool and computational aid (previous experience is not assumed). You will be able to gain competency in using SPSS to obtain all the graphs and statistics covered in the course.

Course syllabus: 

Day 1

  • Level of measurement of data
  • Introduction to SPSS
  • Descriptive statistics for a single variable including summary statistics, graphs, writing brief summary reports

                     - Histogram, stemplot, boxplot, bar chart, pie chart, frequency tables
                     - Mean, median, mode, std deviation, quartiles, range, outliers

 

Day 2

  • Descriptive statistics for relationships between two variables

                     - Comparative boxplots, scatterplots, introduction to correlation and regression, contingency tables, clustered and stacked bar charts

  • Causation, association, lurking variables,

 

Day 3

  • Foundations of basic inference and confidence intervals.

                    - Normal Distribution, standardization
                    - Sampling distribution of the mean and the proportion

 

Day 4

  • Hypothesis tests, confidence intervals, effect size statistics, testing of assumptions,  report writing and journal article examples for the following

                    - Single proportion, single mean (z-test and one sample t-test)

  • Relationship between confidence intervals and hypothesis test, type 1 and type 2 errors

 

Day 5

  • Hypothesis tests, confidence intervals, effect size statistics, testing of assumptions,  report writing and journal article examples for the following

                    - Paired and Independent samples t-tests, Pearson’s correlation and chi-square

  • Choosing the correct statistical test
Course format: 

This course will take place in a computer lab. All equipment will be provided.

Recommended Background: 

There are no prerequisites for this course, nor is previous computing experience necessary.

Recommended Texts: 

The instructor's bound, book length course notes will serve as the course text. The notes contain detailed explanations and examples of all the statistical concepts covered along with instructions of how to obtain the various graphs and statistics from SPSS.

Course fees
Member: 
$1,870
Non Member: 
$3,485
Full time student Member: 
$1,870
FAQ: 

Q Do I have to know any statistics to do this course?

A No, there are no prerequisties and you don't need any computing experience

Participant feedback: 

Imma is wonderful. Great approach. Explain, demonstrate, we complete activities. Perfect! (Winter 2014)

 

Excellent course/impressive teaching, very well organised and presented. (Winter 2014)

 

I found the course to be a good mix of lectures, computer use as well as class interaction. (Summer 2015)

 

Imma provided an excellent breadth of technical skills and practical application, so I feel confident applying/ tying my knowledge to my work. (Summer 2015)

 

It covered all the material I was expecting in s clear and comprehensive manner. The course materials are also excellent. (Summer 2015)

 

Instructor was the best I have ever come across. I wish she was talking more courses. (winter 2015)

 

Imma’s use of examples to explain concepts was outstanding. Being able to try out techniques after they are discussed was great. (Winter 2015)

Program: 
Summer Program 2016
Notes: 

The instructor's bound, book length course notes will serve as the course text.