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Second half of semester

Six workshops are held during the second half of the semester:

  • Five of the workshops cover common statistical analyses. Each is three hours long and there is plenty of time to do practical examples to check you understand the material.
  • The sixth workshop is a practical computing class. There are multiple identical one-hour sessions held each semester on using SPSS to do hypothesis tests for means for Assignment 3.

No registration required - just turn up!

Please make sure you bring your calculator with you to these workshops! 

Please note that workshops in italics have already been held this semester.


Hypothesis Tests: Proportions

Includes for a single proportion and difference between two proportions.

In Summer School 2020, this workshop was held as follows: Saturday 1 February, 10am-1pm, LibB28 (Basement of the General Library)

What's this workshop all about? 

This three-hour workshop covers appropriate statistical analyses for exploring single proportions and differences between two proportions (i.e. one and two categorical variables). It is excellent exam preparation for Chapters 6 and 7 (proportions).

Please bring your calculator!

Topics covered include calculating and interpreting t-tests and confidence intervals for:  

  • a single proportion and 
  • differences between two proportions 


Hand-out   [open in new window|view inline]


Scanned slides - Notes (pages 1 to 18)   [open in new window|view inline]


Scanned slides - Questions (pages 19 to 33)   [open in new window|view inline]


Scanned slides - Questions (pages 34 to 48)   [open in new window|view inline]

Hypothesis Tests: Means

Includes for a single mean, paired data and differences between two or more means.

In Summer School 2020, this material was covered in two workshops as follows: 

  • Saturday 8 February, 10am-1pm, LibB28 (Basement of the General Library)
  • Saturday 8 February, 1.30-4.30pm, LibB28 (Basement of the General Library)

What are these workshops all about? 

These two three-hour workshops cover appropriate statistical analyses for exploring differences between means (averages). They are excellent exam preparation for Chapters 6, 7 and 8 (means).

Please bring your calculator!

Topics covered include: 

  • initial data display and interpreting plots
  • hypothesis tests (t-tests and the F-test for 1-way ANOVA) including setting up hypotheses and interpreting P-values and confidence intervals.

In Summer School 2020, we covered one handout over the two workshop sessions. The morning session revised Chapters 6 and 7 (means), i.e. the notes and examples on pages 1 to 20 of the handout. The afternoon session revised Chapter 8, i.e. the notes and examples on pages 21 to 39 of the handout. Selected questions from page 39 to 64 of the handout were covered in each session.


Hand-out   [open in new window|view inline]


Scanned slides - Notes from morning session (pages 1 to 20)   [open in new window|view inline]


Scanned slides - Notes from afternoon session (pages 21 to 39)   [open in new window|view inline]


Scanned slides - Practice questions (pages 40 to 64)   [open in new window|view inline]

Regression and Correlation

In Summer School 2020, this workshop was held as follows: Wednesday 12 February, 10am-1pm, LibB28 (Basement of the General Library)

What's this workshop all about? 

This three-hour workshop looks at simple linear regression - fitting straight lines to data - and correlation (two numeric variables). It is excellent exam preparation for Chapter 10.

Please bring your calculator!

Topics covered include: 

  • interpreting computer (SPSS) output including scatter plots
  • simple linear regression including the least squares regression line, its hypothesis tests/assumptions and residuals
  • making predictions (confidence/prediction intervals)
  • correlation


Handout   [open in new window|view inline]


Scanned slides - pages 1 to 10 (notes)   [open in new window|view inline]


Scanned slides - pages 11 to 27 (questions 1 to 32)   [open in new window|view inline]


Scanned slides - pages 28 to 44 (questions 33 to 65)   [open in new window|view inline]

Chi-Square Tests

In Summer School 2020, this workshop was held as follows: Thursday 13 February, 10am-1pm, LibB28 (Basement of the General Library)

What's this workshop all about? 

This three-hour workshop looks at the Chi-square test for independence (two categorical variables). It is excellent exam preparation for Chapter 9.

Please bring your calculator!

Topics covered include: 

  • Chi-square test assumptions
  • stating hypotheses
  • doing the test by hand including calculating expected counts, the Chi-square test statistic and degrees of freedom
  • interpreting computer (SPSS) output


Handout   [open in new window|view inline]


Scanned slides - pages 1 to 8 (notes)   [open in new window|view inline]


Scanned slides - pages 9 to 36 (questions)   [open in new window|view inline]

Hypothesis Tests in SPSS

In Summer School 2020four identical sessions of this workshop were held as follows:

  • Session 1: Thursday 30 January, 1.30-2.30pm, Lab 302-150
  • Session 2: Friday 31 January, 1.30-2.30pm, Lab 302-150
  • Session 3: Monday 3 February, 1.30-2.30pm, Lab 302-150
  • Session 4: Tuesday 4 February, 1.30-2.30pm, Lab 302-150

Lab 302-150 is on the first floor of Building 302 (Science Centre), next to the Stats Assistance Room - you can access Building 302 from Symonds St or via the Science Student Centre (Building 301) or via the walkway by the Science Student Resource Centre (Building 303/303S).

No booking required – just turn up to the session that suits your timetable!

What's this workshop all about? 

This one-hour practical workshop covers using SPSS to carry out hypothesis tests for numeric data where differences in means are explored. This workshop is suitable for students with little/no experience using SPSS. Stats 101/101G/108 students will find it very useful preparation for the SPSS work they will need to do in Assignment 3.

Topics covered include:

  • stating hypotheses
  • creating plots
  • carrying out hypothesis tests including t-tests and the F-test for 1-way ANOVA


Hand-out   [open in new window|view inline]


Answers   [open in new window|view inline]

Useful data files:


Batteries.sav


ElectricShavers.sav


RoadFatalities.sav


GunDeaths.sav

 
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