Hey there! I'll try and give you a semi-realistic application of CIs

Say you are working as a data analyst in a village somewhere in remote Africa with a population of a few hundred, and you wish to find the average (mean) age of everyone in the village, but it isn't feasible to go around and asking the age of every single person living there. The only thing you know is that the ages in the population is normally distributed. So, what you can do instead is select a random person, and ask for their age (this is called a point estimate, and is your p hat value). You can calculate say, a 95% confidence interval around this person's age. Say we get (20, 60) as our 95% confidence interval. The non-technical interpretation is that we are 95% confident that the true population value (i.e. the true mean age of the population) lies somewhere within this interval.
In summary, a confidence interval is essentially an interval in which we are *relatively* confident that the true population value lies. We calculate it by taking a sample from the population, which we use as the 'centre' of our interval.
Hope this helps
