Answer:
The sample size is too small and will show a large variation.
The sample size is too small and can lead to false inferences.
A larger sample will give more reliable information.
Explanation:
-In statistical sampling, sample size is of critical importance.
-A large sample size increases the accuracy of mean values as it eliminates or flattens out outliers.
-A large sample size also leads to a lower margin of error as the confidence level increases.
-The is greater precision when a larger sample size is used.