Question 1

A study of the population yields results referred to as ______________________ __________________, while a study of sample yields results referred to as _________________________________.

Accepted Answer

POPULATION PARAMETERS, STATISTICS

Question 2

Sampling instead of studying the entire population

Accepted Answer

Sampling instead of studying the entire population can create sampling error, may be chosen due to physical or economic reasons, and may not accurately reflect the population. Each of these points addresses common reasons or consequences of choosing to sample rather than examine an entire population.

Question 3

Unbiased sampling gives each member of a population an _________________________ chance of being selected, while biased sampling gives each member an ______________________ chance of being selected.

Accepted Answer

EQUAL, UNEQUAL

Question 4

A professor wishes to study the attitudes of all sophomores at a college. This is referred to as ___________________, but asks only those enrolled in her introductory psychology class. This is referred to as _____________________.

Accepted Answer

The answer of A professor wishes to study the attitudes...

Question 5

In the above scenario, what type of sampling was used?

Accepted Answer

A sample of convenience is chosen based on ease of access rather than random selection, which matches the scenario described.

Question 6

Is the sample bias or unbiased?
a. A professor studying the attitudes of all sophomores at a college asks those who are enrolled in her psychology class. ________
b. A researcher doing a citywide survey on monthly spending at local grocery stores. ________
c. A magazine editor studying the opinion on a gun-control measure from all rifle owners, mails a questionnaire to only those who subscribe to her magazine. ________

Accepted Answer

The answer of Is the sample bias or unbiased?
a. A...

Question 7

Random errors created by random sampling still exists in an unbiased sample. ________

Accepted Answer

Random errors are inherent in any sampling process due to the natural variability in selecting a sample, even if the sample is unbiased.

Question 8

One cannot be certain that the results from the sample accurately reflect those results that would have been obtained by studying the entire population. ________

Accepted Answer

Sampling involves a degree of uncertainty and potential bias, meaning that sample results may not perfectly represent the entire population.

Question 9

In predicting the results of a city-side election, the researcher persistently spends weeks at the shopping mall asking shoppers how they intend to vote. Discuss how even a large sample may differ from the population of voters thereby creating bias.

Accepted Answer

The answer of In predicting the results of a city-side...

Quiz 5: Introduction to Sampling

A study of the population yields results referred to as , while a study of sample yields results referred to as _____________.

Sampling instead of studying the entire population

Unbiased sampling gives each member of a population an ___ chance of being selected, while biased sampling gives each member an chance of being selected.

A professor wishes to study the attitudes of all sophomores at a college. This is referred to as _, but asks only those enrolled in her introductory psychology class. This is referred to as ___.

In the above scenario, what type of sampling was used?

Random errors created by random sampling still exists in an unbiased sample. ________

One cannot be certain that the results from the sample accurately reflect those results that would have been obtained by studying the entire population. ________

In predicting the results of a city-side election, the researcher persistently spends weeks at the shopping mall asking shoppers how they intend to vote. Discuss how even a large sample may differ from the population of voters thereby creating bias.