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Analysing deprivation

Analysing deprivation. Statistical analysis. Spearman’s Rank Correlation Coefficient Gives a numerical value to the trend on a scatter graph. You need data. Choose 10 boroughs of London Choose 3 indicators Using London borough Stat-Pack collect the data. Spearman’s rank: how to.

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Analysing deprivation

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  1. Analysing deprivation

  2. Statistical analysis Spearman’s Rank Correlation Coefficient Gives a numerical value to the trend on a scatter graph

  3. You need data Choose 10 boroughs of London Choose 3 indicators Using London borough Stat-Pack collect the data

  4. Spearman’s rank: how to What would be the hypothetical relationship between the two?

  5. Hypothesis – the higher the GCSE results the lower the number of homeless

  6. Spearman’s rank formula • Coefficient = • 1- 6(∑d²) n³-n • Where (∑d²) is the total of the differences squared • Where n is the number of data sets (in this case 10 – so n³-n = 990

  7. What does your result mean? The coefficient (R) is a value between -1 and +1 Closer to +1 you get the stronger a positive relationship there is Closer to -1 you get the stronger a negative relationship there is (Remember – the hypothesis) Hypothesis – the higher the GCSE results the lower the number of homeless

  8. Graphically

  9. Over to you – run the numbers! Comment on your results Offer any reasons for your results

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