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<!-- Old * [http://ucspace.canberra.edu.au/display/7126/Lecture+-+Descriptives+and+Graphing Lecture page] (ucspace) -->
<!-- Old * [http://ucspace.canberra.edu.au/display/7126/Lecture+-+Descriptives+and+Graphing Lecture page] (ucspace) -->
<!-- Old * [http://wilderdom.com/research/Summary_Levels_Measurement.html Summary of The Four Levels of Measurement: Appropriate Descriptive Statistics and Graphs] -->
<!-- Old * [http://wilderdom.com/research/Summary_Levels_Measurement.html Summary of The Four Levels of Measurement: Appropriate Descriptive Statistics and Graphs] -->
* [http://www.visual-literacy.org/periodic_table/periodic_table.html A periodic table of visualisation methods]
* [http://wps.pearsoned.co.uk/ema_uk_he_howitt_statpsych_5/175/44877/11488749.cw/content/index.html Describing variables:Tables and figures quiz] (Practice) (Howitt & Cramer, 2011)
* [http://wps.pearsoned.co.uk/ema_uk_he_howitt_statpsych_5/175/44877/11488749.cw/content/index.html Describing variables:Tables and figures quiz] (Practice) (Howitt & Cramer, 2011)
* [http://wps.pearsoned.co.uk/ema_uk_he_howitt_statpsych_5/175/44879/11489272.cw/content/index.html Describing variables numerically quiz] (Practice) (Howitt & Cramer, 2011)
* [http://wps.pearsoned.co.uk/ema_uk_he_howitt_statpsych_5/175/44879/11489272.cw/content/index.html Describing variables numerically quiz] (Practice) (Howitt & Cramer, 2011)
* [http://www.datavis.ca/gallery/index.php Gallery of data visualization]
* [http://pareonline.net/getvn.asp?v=5&n=5 Pitfalls of data analysis]
* [http://www.stats.gla.ac.uk/steps/glossary/presenting_data.html Presenting data – Statistics glossary v1.1]
* [http://wps.pearsoned.co.uk/ema_uk_he_howitt_statpsych_5/175/44880/11489301.cw/content/index.html Shapes and distributions of scores quiz] (Practice) (Howitt & Cramer, 2011)
* [http://wps.pearsoned.co.uk/ema_uk_he_howitt_statpsych_5/175/44880/11489301.cw/content/index.html Shapes and distributions of scores quiz] (Practice) (Howitt & Cramer, 2011)
* [http://www.csulb.edu/~msaintg/ppa696/696uni.htm Univariate Data analysis – The best & worst of statistical graphs]
* [http://insights.qunb.com/why-we-hate-infographics-and-why-you-should Why we hate infographics and why you should] (Cyrille Vincey, 24/9/2013)
* [http://insights.qunb.com/why-we-hate-infographics-and-why-you-should Why we hate infographics and why you should] (Cyrille Vincey, 24/9/2013)

Revision as of 07:01, 29 February 2016

Lecture 03: Descriptives & graphing

Resource type: this resource contains a lecture or lecture notes.

This is the third lecture for the Survey research and design in psychology unit of study.

Completion status: this resource is considered to be complete.

Outline

Overviews descriptive and graphical approaches to analysis of univariate data.

  1. Steps with data
  2. How to approach data
  3. Parametric & non-parametric statistics & level of measurement
  4. Properties of the normal distribution
  5. Non-normal distribution
  6. Univariate descriptive statistics
  7. Univariate graphs

The lecture resources include presentation slides, and sometimes additional notes.

Readings

  1. Howitt and Cramer (2011a):
    1. Chapter 01 - Why you need statistics: Types of data (pp. 1-10)
    2. Chapter 02 - Describing variables: Tables and diagrams (pp. 11-22)
    3. Chapter 03 - Describing variables numerically: Averages, variation and spread (pp. 23-35)
    4. Chapter 04 - Shapes of distributions of scores (pp. 36-45)
    5. Chapter 05 - Standard deviation and z-scores: The standard unit of measurement in statistics (pp. 46-58)
  2. Howitt and Cramer (2014a):
    1. Chapter 01 - Why statistics? (pp. 1-16)
    2. Chapter 02 - Some basics: Variability and measurement (pp. 19-28)
    3. Chapter 03 - Describing variables: Tables and diagrams (pp. 29-43)
    4. Chapter 04 - Describing variables numerically: Averages, variation and spread (pp. 44-57)
    5. Chapter 05 - Shapes of distributions of scores (pp. 58-70)
    6. Chapter 06 - Standard deviation and z-scores: The standard unit of measurement in statistics (pp. 71-85)

Videos

  1. Video: Science is beautiful - explores 3 different visualisations, Florence Nightingale (health), genome overlaps, ocean currents (Nature Video, Youtube, 5:30 mins).
  2. Video: Is Pivot a turning point for the web? - demonstrates the potential for dynamic data visualisation in order to discover patterns and links (Gary Flake, TED talk - 6:25 mins).

Slides

See also

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