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Spearmans Rank Statistical Analysis to show Relationship Strength.

Spearmans Rank Statistical Analysis to show Relationship Strength

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Page 1: Spearmans Rank Statistical Analysis to show Relationship Strength

Spearmans Rank

Statistical Analysis to show Relationship Strength.

Page 2: Spearmans Rank Statistical Analysis to show Relationship Strength

Results from a survey looking investigating the price of items in relation to the shops distance from a major tourist attraction

Convenience Store

Distance from CAM (m)

Rank distance Price of 50cl

bottle (€) Rank price

Difference between ranks

(d) d²

1 50 10 1.80 2 8 64

2 175 9 1.20 3.5 5.5 30.25

3 270 8 2.00 1 7 49

4 375 7 1.00 6 1 1

5 425 6 1.00 6 0 0

6 580 5 1.20 3.5 1.5 2.25

7 710 4 0.80 9 -5 25

8 790 3 0.60 10 -7 49

9 890 2 1.00 6 -4 16

10 980 1 0.85 8 -7 49

d² = 285.5

Rank distance - Rank price

Page 3: Spearmans Rank Statistical Analysis to show Relationship Strength

SPEARMAN’S RANK CORRELATION COEFFICIENT

It says …

)1(6

12

2

nnd

rs

It allows us to …

Compare the RANK ORDER

of TWO Data Sets

Compare the RANK ORDER

of TWO Data Sets

Page 4: Spearmans Rank Statistical Analysis to show Relationship Strength

)1(6

12

2

nnd

rs

Spearman’s Rank Correlation Coefficient

Spearman’s Rank Correlation Coefficient

The total ofThe total of

6 x6 x

The DIFFERENCES between the

RANKS assigned to each ‘price’

SQUARED

The DIFFERENCES between the

RANKS assigned to each ‘price’

SQUARED

The Number of different ‘sites’The Number of different ‘sites’

This example is based on a survey looking at price & distance

Page 5: Spearmans Rank Statistical Analysis to show Relationship Strength

The Maths• The top line of the equation• d² (rank difference 2) = 285.5.• Multiplying this by 6 gives 1713.

• Now for the bottom line of the equation. • n (the number of sites) =10. • n³ - n :1000 – 10 = 990

• R = 1 - (1713/990) • R: 1 - 1.73 = -0.73

• What does this R value of -0.73 mean?• The closer R is to +1 or -1, the stronger the likely correlation.

Perfect positive correlation is +1 and a perfect negative correlation is -1. The R value of -0.73 suggests a fairly strong negative relationship.

nn

drs

3

261

Page 6: Spearmans Rank Statistical Analysis to show Relationship Strength

What is it showing?

Total DisagreementTotal Agreement Overall Neither Agree or Disagree

rs close to 1 rs close to 0 rs close to -1

Page 7: Spearmans Rank Statistical Analysis to show Relationship Strength

The significance of the relationship!

• The R value of -0.73 must be looked up on the Spearman Rank significance table.

• 'degrees of freedom' : This is the number of pairs in your sample minus 2 (n-2).

• 8 (10 - 2).

• Using the r value (y axis) the degrees of freedom value (x axis)plot the position of the graph (next page).

Page 8: Spearmans Rank Statistical Analysis to show Relationship Strength
Page 9: Spearmans Rank Statistical Analysis to show Relationship Strength

Tasks

• Work through the example on p.636 (Waugh), fill in the table & check that you understand how each column is calculated.

• Complete the tasks on the next 2 slides and

Page 10: Spearmans Rank Statistical Analysis to show Relationship Strength

A student Surveyed the ages, in years, and the prices, in £’s, of ten second hand cars of a particular type, in a local paper and obtained the data in the table below:

What can you say about the relationship between the age and price of cars …

Age, years 6 2 9 5 13 4 7 8 3 10

Price, £’s 2790 5990 850 3100 650 3350 3790 1350 4590 990

Data Ranks Differences

Age Price Age Price d d2

Use the graph (p.637) to determine the significance of the relationship.

Page 11: Spearmans Rank Statistical Analysis to show Relationship Strength

A student has been shown photographs of eight different people and asked to estimate their ages …The results are shown …

Actual age in years 54 88 22 70 30 15 47 6

Estimated Age 45 70 35 62 24 19 56 11

Data Ranks Differences

Actual Estimate Actual Estimate

d d2

What is the significance of the relationship?