Suppose a student researcher at OSU is interested in how much, on average, stude
ID: 3226487 • Letter: S
Question
Suppose a student researcher at OSU is interested in how much, on average, students arepaying for books and supplies each term at OSU. To obtain her data she stands outside the OSU bookstore oneafternoon at the beginning of Spring term for 2 hours. She attempts to stop those who are exiting the bookstore.For those who stop, she asks “How much did you spend on books or supplies this term?” Ultimately, she gets the
response of 19 students. Provide a paragraph that summarizes your answers to the questions.
1. What type of sampling scheme does this scenario depict?
2. What might be some potential biases or issues with the way the data was collected? Be specific and thoroughin your answer.
3. What might be a better way collect the data to answer this question? Be specific and thorough in your answer.
Explanation / Answer
Answer to question #1)
This type of sampling is called convinience sampling. It was easier to find the people at the boostore and directly question them. Thus sampling scheme , helps the researcher to find the sampling units easily. It does not have to reach the entire population and search for the units . The researcher knows that those who come to the bookstore are going to pay ,, and they would also remember the amount they paid, hence it would be really quick and easy to get the data. This involves more convinience for the researcher as it is a hasslefree method of collecting the data.
.
Answer to question# 2)
Some of the potential biases will be :
.
Answer to question# 3)
The best way to collect the data is chose a way to conduct Stratified sampling:
Select say 10 students from each class at random and then record the costs of books and supplies they got
Like this you would be able to cover the different groups correctly
.
Now in order to avoid season bias: the data must be collected over a period of time
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