ANSWER:-
Purpose of
confidence interval:-
- The motivation behind certainty interims is to give us a scope
of qualities for our assessed populace parameter as opposed to a
solitary worth or a point gauge.
- The evaluated certainty interim gives us a scope of qualities
inside which we accept with certain likelihood (certainty level),
that the genuine populace worth falls.
- For example, whenever rehashed tests were taken and the 95%
certainty interim for the mean was registered for each example, 95%
of the interims would contain the populace mean.
- We expect that 5% of the interim would not contain the genuine
worth.
- The issue is that for any single interim, we don't know for
sure that it will incorporate the genuine worth; yet we realize
that the chances of it including the genuine worth is a lot higher
than the chances of not containing it.
Example:-
I assume the blow values
Given data,
Where,
99% confidence interval value from z table is 2.58