@kurtstat@alistairsteel@RCEMPolicyVP I am sorry but you donโt understand that either. These two charts represent two different processes. It is not the same proces but with reduced variation.
@kurtstat@alistairsteel@RCEMPolicyVP The more common scenario is when target falls within control limits of the stable process and managers overreact when one data point drops below the target
@kurtstat@alistairsteel@RCEMPolicyVP I am finding it difficult to believe that despite not reaching the arbitrary target, managers will be accepting the chart as โought-to-beโ
@kurtstat@alistairsteel@RCEMPolicyVP This is very unusual. Many control charts with a mean so close to the scale's edge are asymmetrical because one of the control limits is beyond the scale. If you move chart A to align its mean with the target, you will see what I mean
@kurtstat@alistairsteel@RCEMPolicyVP Specification limits are something you arbitrarily set. It is very different from control limits derived from process data.
@kurtstat@alistairsteel@RCEMPolicyVP I feel like you are mixing the control charts with 6 sigma process and its specification limits. In real life it is very unlikely that your process would look like B and would likely cause the same overreaction like A. Would rather educate execs than use tricks like that
@kurtstat@alistairsteel@RCEMPolicyVP Not sure it works that way. You can envisage a process that sits within specification limits but fails do deliver on the target
@sib313@Melissa_S_Ryan For someone who is usually sensible about statistics, this is as oversimplified as it gets. There is 35% more NHS staff than it was 10 years ago. The activity has gone up a lot. Among doctors the fastest growing group is LED IMGs with locally trained DRs facing unemployment
@wesstreeting Paying doctors and other NHS staff well is the cost of providing high-quality care. Go and have an honest "what the NHS can afford" conversation with your voters.