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Wartime Farm: ChristmasSunday, 29th March 2015 08:00 - YesterdayIt's Christmas, and our living historians are back in the war, and back on the land, for a very special Wartime Farm. Read more: OU on the BBC: Wartime Farm - Christmas Special
Timewatch: StonehengeSunday, 29th March 2015 22:05 - BBC Four
Thinking Allowed: Global clothing and poverty, fur inheritance in PolandMonday, 30th March 2015 00:15 - BBC Radio 4
A History of Ideas - How do I live a good life?Monday, 30th March 2015 12:04 - BBC Radio 4
The Bottom Line - Corporate scandalAvailable until Saturday, 26th March 2016 14:15How do companies recover from negative press? Evan Davis hears from guests who have broken away from scandal on this... Read more: The Bottom Line - Corporate scandal
Turn your bank holiday into a badged holidayWhat are your plans for the long weekend? DIY? A trip to a windswept beach? Why not take your... Read more: Turn your bank holiday into a badged holiday
Take the photographic memory testCan you capture scenes just by looking at them? Find out with our photographic memory test. Launch now: Take the photographic memory test
Early years team work and leadershipThis unit explores aspects of teamwork and leadership for early years practitioners. Try: Early years team work and leadership now
Succeed with maths – Part 1[BETA] If you feel that maths is a mystery that you want to unravel then this short 8-week course... Try: Succeed with maths – Part 1 now
Exploring data: Graphs and numerical summaries
This Unit will introduce you to a number of ways of representing data graphically and...
This Unit will introduce you to a number of ways of representing data graphically and of summarising data numerically. You will learn the uses for pie charts, bar charts, histograms and scatterplots. You will also be introduced to various ways of summarising data and methods for assessing location and dispersion.
Studying this unit will help you work towards the following learning outcomes:
- Know and be able to use standard symbols and notation: for the pth value in a data set when the values are written in order, the sample lower and upper quartiles and the sample median, the sample mean and the standard deviation.
- Be aware that data can have a pattern which may be represented graphically.
- Be aware that the standard deviation and the interquartile range are measures of the dispersion in a data set.
- Be aware that the median and the interquartile range are more resistant measures than are the
mean and the standard deviation.
- Acquire the skill of gaining an overall 'feel' for data and the way they are distributed by constructing appropriate graphical displays.
- Acquire the skill of describing data sets on the basis of graphical displays and numerical summaries.
- Acquire the skill of calculating summary measures such as the median, the upper and lower quartiles, the mean, the standard deviation and the variance, using a calculator.
- Current section: Introduction
- Learning outcomes
- 1 0 Introducing data
- 1.1 Data and questions
- 2.3 Pie charts and bar charts
- 2.3.1 Introduction
- 1.3.2: Pie charts: surgical removal of tattoos
- 1.2.3 Pie charts: Nuclear power stations
- 1.2.4 Bar charts: nuclear power stations
- 1.2.5 Bar charts: Surgical removal of tattoos
- 1.2.6 Problems with graphics
- 1.2.7 Problems with graphics: USA workforce
- 1.2.8 Problems with graphics: nuclear power stations
- 1.2.9 Pie charts and bar charts: summary
- 3 Histograms and scatterplots
- 4: Numerical summaries
- 1.4.1 Introduction
- 1.4.2 Measures of location
- 4.3: The median
- 1.4.6: Measures of dispersion
- 4.7: Quartiles and the interquartile range
- 1.4.8 The standard deviation
- 1.4.9 Sample variance
- 1.4.10 A note on accuracy
- 4.11: Symmetry and skewness
- 4.12: Numerical summaries: summary
- 5: Summary
Exploring data: graphs and numerical summaries
This unit will introduce you to a number of ways of representing data graphically and of summarising data numerically. You will learn the uses for pie charts, bar charts, histograms and scatterplots. You will also be introduced to various ways of summarising data and methods for assessing location and dispersion.
This study unit is an adapted extract from the Open University course M248