Answer:
Step-by-step explanation:
Hello!
(a) In a survey, one hundred college students are asked how many hours per week they spend on the Internet.
In this example, the amount of weekly hours the internet uses is being collected from each student. The study variable is of a continuous type and the most convenient measure for its study is the population mean.
(b) In a survey, one hundred college students are asked: "What percentage of the time you spend on the Internet is part of your course work?"
Here as an investigator, you ask each student what percentage of their time they spend online, the best parameter to study any value presented as percentages is the population proportion.
(c) In a survey, one hundred college students are asked whether or not they cited information from Wikipedia in their papers
In this example, you are polling the students on whether they do or don't use Wikipedia and record their answers as "yes" or "no". You have a discrete variable in the study, most likely with a binomial distribution. The parameter of the study is the proportion of students that use Wikipedia and/or the proportion of students that don't use Wikipedia.
(d) In a survey, one hundred college students are asked what percentage of their total weekly spending is on alcoholic beverages
You have another experiment where you collect the data as percentages, this is another example where you can use the population proportion.
(e) In a sample of one hundred recent college graduates, it is found that 85 percent expect to get a job within one year of their graduation date.
In this last example, they are investigating the proportion of graduates that got a job within a year after graduation. The propper parameter is the proportion.