if there are 5,200 registered voters are randomly sampled, which statements are true of a sample of 30…

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.

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.

Answer

Brief Explanations:

  1. A sample size of 30 out of 5,200 registered voters is relatively small. Small - sized samples tend to have larger variations and can lead to false inferences.
  2. Random sampling is a valid sampling method, so the statement that it's an invalid sample because it randomly chooses voters is incorrect.
  3. Larger samples generally provide more reliable information as they better represent the population.
  4. A sample size of 30 is not too large for making inferences; in fact, it's on the smaller side.

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.