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.

## Outline

Overviews descriptive statistics and graphical approaches to analysis of univariate data.

1. Getting to know a data-set
2. Parametric & non-parametric statistics & level of measurement
3. Univariate descriptive statistics
4. Univariate graphs
5. Properties of the normal distribution
6. Non-normal distributions

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).