Jtdcftul

2 $begingroup$ In frequentist statistics, a 95% confidence interval is an interval-producing procedure that, if repeated an infinite number of times, would contain the true parameter 95% of the time. Why is this useful? Confidence intervals are often misunderstood. They are not an interval that we can be 95% certain the parameter is in (unless you are using the similar Bayesian credibility interval). Confidence intervals feel like a bait-and-switch to me. The one use case I can think of is to provide the range of values for which we could not reject the null hypothesis that the parameter is that value. Wouldn't p-values provide this information, but better? Without being so misleading? In short: Why do we need confidence intervals? How are they, when correctly interpreted, useful?

1 Previous posts on this topic appear to be outdated or not useful. Running 17.04 on a Pine64. When running ddclient with dynu.com service I get an email with the following error (*** where I deleted values for privacy): WARNING: file /var/cache/ddclient/ddclient.cache, line 8: Invalid Value for keyword 'ip' = '' WARNING: skipping update of ***.DYNU.NET from <nothing> to ***. WARNING: last updated <never> but last attempt on Tue Jun 20 15:26:07 2017 failed. WARNING: Wait at least 5 minutes between update attempts. My configuration file looks like this: # Configuration file for ddclient generated by debconf # # /etc/ddclient.conf daemon=150 syslog=yes mail=*** mail-failure=*** pid=/var/run/ddclient.pid ssl=yes use=web, web=checkip.dynu.com/, web-skip='IP Ad