Exam 8: Sampling

When we want to check to see how similar our sample is to the population, we compare a sample statistic to a population __________.

A _________ is a subset of a population.

Specifically selecting people who are high-achievers or low-risk for programs with the assumption that they are most likely to succeed is known as ________________

A ___________ is a comprehensive list of everyone or everything in the population of interest.

Quota sampling is a type of probability sampling.

Incorrectly making assumptions about large groups based on the circumstances of one very unique case is known as _________.

How can researchers try to make snowball samples a bit less biased?

How does quota sampling differ from stratified random?

Why is random sampling believed to be the best way to select participants?

If I interview someone and then ask that person to introduce me to some associates so I could interview them, what type of sampling technique is this?

How does a unit of observation differ from a unit of analysis?

A comprehensive list of everyone or everything in the population of interest is called a population parameter.

Simple random sampling is conducted by taking names out of a hat or using a random number generator.

When we are trying to calculate confidence intervals to see where the true population mean probably is, as the interval itself gets smaller, our confidence _________.

Give an example of why a researcher would want to use nonprobablility sampling.

We can determine the proper sample size that we need to avoid statistical conclusion validity problems by conducting a ____________

Explain why random selection of a sample is supposed to be a good tool for selecting a representative sample.

Multistage cluster sampling involves taking every nth (5^th, 10^th, etc) case in the population.

Systematic random sampling is a type of probability sampling.

Incorrectly making assumptions about individuals based on the research results of groups is known as _________.