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Statistical literacy by Debbie Becker. Contents Statistics Statistical literacy.

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Presentation on theme: "Statistical literacy by Debbie Becker. Contents Statistics Statistical literacy."— Presentation transcript:

1 Statistical literacy by Debbie Becker

2 Contents Statistics Statistical literacy

3 What are statistics? “statistics are like jewels; that is, they have to be selected, they have to be cut, they have to be polished, and they have to be placed in settings so that they can be viewed from particular angles.” Best, Joel (2002) Transcript of Talk at Augsburg College W. M Keck Statistical Literacy gathering.www.statlit.org/PDF/2002BestAugsburg.pdfwww.statlit.org/PDF/2002BestAugsburg.pdf

4 Video http://www.youtube.com/ watch?v=BE54mDs6St4& feature=related

5 Collecting data Organising data Recording data

6 Presenting statistics Offering statistics in context Using graphical representa tions Ensuring the statistics suit the audience Incorporate real-life examples Factual and well- balanced

7 Presenting statistics TablesGraphs

8

9 Misuse of statistics Article Fact Asked to estimate the proportion of foreign-born people living in the UK, the average guess is 29.4%. The true figure according to OECD data is 10.8%, lower than Germany, Spain, the Netherlands, Canada and the USA. http://splithorizons.blogspot.com/2011/07/tabloid- misinformation-makes-our.html

10 Statistical literacy Statistical literacy is  the ability to understand  and use statistics  to present clear and convincing reasoning  and informed decision-making

11 Statistical literacy Always question – check what is being reported and what has been omitted. Ensure you understand the meaning of the data and that data is being compared correctly in order to prevent misinterpretation. Look at the data critically and think about possible interpretations and then draw your own conclusion

12 Plains of Gheisra Random – by chance Omen – showing a pattern

13 Which of the following are random?

14 Significance In statistics, significance is not used to indicate importance but the likely hood that the result reflects a pattern rather than coincidence.

15 Train 1Train 2Train 3Train 4 9 hours4 hours6 hours2 hours 11 hours3 hours8 hours1 hour 10 hours4 hours7 hours3 hours 8 hours5 hours7 hours5 hours 12 hours2 hours6 hours 1 2 3 4

16 MedianRangeMean Train 1 Train 2 Train 3 Train 4

17 MedianRangeMean Train 110 hours4 hours10 hours Train 24 hours3 hours3.6 hours Train 37 hours2 hours6.8 hours Train 43 hours5 hours3.4 hours

18 Clickers

19 Bias

20 Question data Always ask - WHY? Does the data support what you expect? Sample size Variables and their measurement Changes in variables and its effects Timeframe Are totals sums or averages Areas for further investigation Explain irregular data Determine significance of the data

21 Online training http://library.cput.ac.za/stats_lit eracy/Welcome.html

22 "the only statistics you can trust are those you falsified yourself" Thank you Winston Churchill – British Prime Minister


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