A sommelier investigates whether the maturation period of single malt whiskey affects its perceived flavor complexity. They select 9 bottles of various ages and rank them based on a 'Complexity Index' (where 9 is the most complex). The results are shown below:

Age $A$ (years)	45	12	28	15	33	10	21	40	18
Complexity Rank $C$	8	2	6	3	9	1	5	7	4

Calculate Spearman's rank correlation coefficient ( $r_s$ ) for these data.

Stating your hypotheses clearly and using a one-tailed test at the 5% level of significance, interpret your coefficient. (The critical value for $n = 9$ at the 5% level is 0.6000).

State a reason why Spearman's rank correlation coefficient might be more appropriate than the product moment correlation coefficient (PMCC) for this specific dataset.

Age $A$ (years)	45	12	28	15	33	10	21	40	18
Complexity Rank $C$	8	2	6	3	9	1	5	7	4

Calculate Spearman's rank correlation coefficient ( $r_s$ ) for these data.

Stating your hypotheses clearly and using a one-tailed test at the 5% level of significance, interpret your coefficient. (The critical value for $n = 9$ at the 5% level is 0.6000).

State a reason why Spearman's rank correlation coefficient might be more appropriate than the product moment correlation coefficient (PMCC) for this specific dataset.

2.2.2 Scatter diagrams and correlation

Question 4

Markscheme

2.2.2 Scatter diagrams and correlation

Question 4

Markscheme

2.2.2 Scatter diagrams and correlation

Question 4

2.2.2 Scatter diagrams and correlation Questions

2.2.2 Scatter diagrams and correlation

Question 4

2.2.2 Scatter diagrams and correlation Questions