Quiz 5 prep session PSY 3000

True or False: A sample studies a subset of the population, while a population means studying everybody of interest

• True

• False

What is Standard Error?

• A procedure that selects the subjects from the population

• Choosing samples because they are conveinent

• Bias within research

• The standard deviation of the sampling distribution

Which of the following corresponds with Central Limit Theorem?

• The mean of the sampling distribution is the same as the mean of the population

• The standard deviation of the sampling distribution gets smaller as the sample size increases

• The shape of the sampling distribution becomes normal as the sample size increases

• All of the Above

True or False: The Law of Large Numbers states that as the sample gets larger, the sample mean gets further from the true population mean

• True

• False

Which of the following is Stratified Sampling?

• Choosing a sample because it convenient

• When your population has several different sub-sections

• Participants recruit other people for the study

• Every member of the population has an equal chance of being selected.

Which of the following is Simple Random Sampling?

• Every member of the population has an equal chance of being selected

• Samples are recruited based on convenience

• The population has several sub-sections

• Participants recruit other people for the study.

Which of the following is convenience sampling?

• population has several different sub-sections

• participants recruit other people for the study

• Every member of the population has an equal chance of being selected

• Samples are chosen based on convenience

Which of the following is Snowball Sampling?

• participants recruit other people for the study

• samples are chosen based off convenience

• Every member of the population has an equal chance of being selected

• the population has several different sub-sections

True or False: Bias is always problematic but can always be avoided if you try

• True

• False

True or False: You do not need to use inferential statistics if you have parameter data.

• True

• False