Exam 5: Introduction to Sampling

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

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

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 the above scenario, what type of sampling was used?

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

Sampling instead of studying the entire population

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. ________

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.

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 _____________________.