Choose the one most likely type of error or bias you might encounter in the following sampling situations. (a) You want to know about the dating habits of college students, so you go to a dorm meeting and ask students how many dates they have had in the last year. Response error Nonresponse bias Coverage error Interviewer error Measurement error(b) You want to know how often people attend religious services, so you stand outside a particular church on Sunday and ask entering individuals how often they attend. Measurement error Response error Interviewer error Coverage error Nonresponse bias (c) You want to know how often people eat at McDonald's, so you stand outside a particular McDonald's and ask entering customers how often they eat at McDonald's. Coverage error Nonresponse bias Interviewer error Measurement error Response error

a) Response error

b) coverage error

c) coverage error

Step-by-step explanation:

Given situation:

(a) You want to know about the dating habits of college students, so you go to a dorm meeting and ask students how many dates they have had in the last year.

Solution:

In such situations the dating habits is a private matter for every individual and would not be truy expressed or conveyed in a dorm meeting. The true response would either be false or hidden in context of a public gathering.. So the likely error would be " Response error"

Given situation:

b) You want to know how often people attend religious services, so you stand outside a particular church on Sunday and ask entering individuals how often they attend.

Solution:

The collection of sample from a "particular" church limits the diversity of responses. The spread of the data might be skewed to certain geographical or population or ethnical locations. A better coverage would be recommended for accurate sampling. Hence, "coverage error"

Given situation:

(c) You want to know how often people eat at McDonald's, so you stand outside a particular McDonald's and ask entering customers how often they eat at McDonald's.

Solution:

The collection of sample from a "particular" McDonalds limits the diversity of responses. The spread of the data might be skewed to certain geographical or population or ethnical or lifestyles. A better coverage would be recommended for accurate sampling. Hence, "coverage error"