biostatistic

#1
. A diabetes clinic in Nottingham decided to invite all of their patients aged between 30 and 65 for a routine health check. Of the 2674 patients who received invitations, 2203 attended the health check and 471 did not. Some characteristics of the attendees and non-attendees are shown in the following table:

Attended Did not attend Total Non-attendance rate (%)
Male 986 261 1247 20.9
Female 1217 210 1427 14.7

Age group:
30-44 812 189 1001 18.9
45-54 731 142 873 16.3
55-65 660 140 800 17.5

Smoker 621 207 828 25.0
Non-Smoker 1582 264 1846 14.3

Obese 196 64 260 24.6
Not Obese 2007 407 2414 16.9

Diet Score
1 (best) 631 89 720 12.4
2 541 96 637 15.1
3 563 133 696 19.1
4 (worst) 468 153 621 24.6


Using statistical analysis investigate whether the differences in attendance rates observed between the different patient groups are statistically significant.
What might the diabetes clinic conclude from the outcome of the statistical analysis and how might this inform a similar initiative in the future?