Increasing the sample size while keeping the same confidence level has what effect on the margin of error? a. increases the margin of error and hence increases the precision b. increases the margin of error and hence decreases the precision c. decreases the margin of error and hence increases the precision d. decreases the margin of error and hence decreases the precision e. none of the above

C. Decreases the margin of error and hence increases the precision

Step-by-step explanation:

If we select a sample by Simple Random Sampling in a population of “infinite” size (a population so large that we do not know its size exactly), then the margin of error is given by

where  

Z = The Z-score corresponding to the confidence level

S = The estimated standard deviation of the population

n = the size of the sample.

As we can see, since n is in the denominator of the fraction and the numerator is kept constant, the larger the sample size the smaller the margin of error, so the correct choice is:

C. Decreases the margin of error and hence increases the precision

answer: median

step-by-step explanation:

the median is the middle value when a data set is ordered from least to greatest

f(x) is   are being squared

g(x) is   increasing by 2

h(x) is adding .25 each time

k(x) is taking the square root

f(x) and k(x) are exponential functions