If there are 5,200 registered voters are randomly sampled, which statements are true of a sample of 30 voters? check all that apply.
the sample size is too small and will show a large variation. the sample size is too small and can lead to false inferences. this is an invalid sample because it randomly chooses voters. a larger sample will give more reliable information. the sample size is too large to make inferences.

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.

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.

Step-by-step 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.

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