Answer:
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Step-by-step explanation:
Answer:
So if you increase the sample size used to construct a given confidence interval, the confidence interval will be narrower, that is, more precise.
Step-by-step explanation:
The sample size is important to find the margin of errror of a confidence interval.
The margin of error is given by a formula in the following format:

In which c is the critical value(depends on the distribution used, can be T or Z), s is the standard deviation(of the sample or the population) and n is the size of the sample.
As n increases, M decreases, which leads to a lower margin of error.
The lower the margin of error, the more precise the interval is.
So if you increase the sample size used to construct a given confidence interval, the confidence interval will be narrower, that is, more precise.
There are several groups of numbers
natural number are counting number,,1,2,3,4,5,6..
whole numbers include 0 as well
integers means negative and positive numbers not including decimals =-6,-5,-4,-3,-2,-1,0,1,2,3,4,5...
so prime number is a number that cannot be factored out using integers. basically a number that the only factors are 1 and itself exg
3 is prime becuase 3=3 times 1
4 is not prime becuase 2 times 2 is 4
7 is prime becuase the only factors are 1 and 7
negative numbers are numbers less than zero
a negative number is like -1,-2,-3,-4,-5,-6,-7,-8,-9,-10...
when added, it's like subtraction exg
add 3 and -2 together=3+(-2)=3-2=1