Random Sampling

Question 1

How is a random number table used?

Answer 1

Each observational unit in the study is assigned a number, a row is chosen on the simple random sampling table, numbers are either selected or discarded based on if they are in the group or not until the desired number of samples have been chosen

Question 2

What is the relationship between sample size and precision/variability?

Answer 2

The larger the sample size (e.g., the more observational units there are or the more samples that are taken), the more precise the results will be

Question 3

What is the relationship between bias and center?

Answer 3

A biased sample will not be centered on the actual center measure of the population, an unbiased sample will be

Question 4

What is required to generalize the results of an observational study to a population?

Answer 4

Random sampling is used, therefore, each observational unit in the population has the same chance of being selected for the study

Question 5

What is sampling variability?

Answer 5

Variability between different samples of the same population

Question 6

Does population size effect precision/variability of a sample?

Answer 6

No, as long as a sample is 1/10 or more of the population, the size of the population does not matter

Question 7

What is the purpose of random sampling?

Answer 7

To collect a sample that is representative of a population and can be generalized to it and eliminates bias