What percentage of times will the mean (population proportion) not be found within the confidence interval?
The Poincaré Conjecture.
The answer depends on how rare or common the selected trait is. For something that is very rare, you will need a much larger sample to get a reasonable estimate of proportion.
One possible conjecture is that their sum is 27. The conjecture is patently false, but that does not stop it being a conjecture.
My conjecture is that the sum is 67. A conjecture does not have to be true, or even plausible. You should be able to test it. If it is found to be true then in is no longer a conjecture, if it is found to be false, it is rejected - and so no longer a conjecture. If it cannot be proved either way, it remains a conjecture.
A point estimate of a population parameter is a single value of a statistic. For example, the sample mean x is a point estimate of the population mean μ. Similarly, the sample proportion p is a point estimate of the population proportion P.
An increase in the proportion of the population living in towns.
What percentage of times will the mean (population proportion) not be found within the confidence interval?
proportion beriod
There is a 95% probability that the true population proportion lies within the confidence interval.
50
.9222
The future tense of "conjecture" is "will conjecture."
Pi is the population proportion of successes.
some
It's a continent!
A half.