12. what is the effect when the sample size is
increased?
a) confidence interval decreases, error decreases
b) confidence interval decreases, error increases
c) confidence interval increases, error increases
d) confidence interval increases, error decreases
e) no effect

Confidence interval decreases, error decreases

Option: a

Explanation:

Increasing of sample size will decrease the width of the confidence intervals because it also decreases the standard error of the interval. So whenever the 'sample size' is increases then the 'confidence interval' decreases as well as the 'error' decreases.

Confidence interval gives us the unknown average population or percentage of the population. This gives us just how much the average rate is varying. Confidence interval gives the location as well as the precision of a measure. The smaller sample sizes gives more wider intervals.

well there are two answers for that.

1: you need 120 ones then that will equal up to 120.

2: you could also do one 100 and 2 tens.

those are the answers that i have thought of.