identify the bias
student surveys that students in his calculus class and finds that 7/33 students are physics majors. he uses the data to predict the percentage of all students at his college who are physics student
a. sampling bias because the sampling technique favors one group of individuals over another
b. response bias because individuals identified to be in the sample could not be found
c. sampling bias because individuals refused to be part of the study
d. response bias because individuals refused to be part of the study
e. non responsive bias because individuals identified to be in sample could not be found
f. non responsive because the surveyed peoples answer may not match with what they really think.
i think its a, b
There's only one right answer.
it says select all that apply
OK. You're right -- a and b
The correct answer is c. sampling bias because individuals refused to be part of the study.
To identify the bias, we need to understand the concept of bias in survey research. Bias refers to any systematic error or deviation from the true value that occurs consistently in the same direction. In this scenario, the bias occurs because individuals refused to be part of the study.
To arrive at this answer, we consider the information given in the question. The student conducted a survey in his calculus class to collect data on the number of physics majors. However, the fact that only 7 out of 33 students in the calculus class are physics majors suggests that there might be a bias in the sampling technique.
Ideally, for an accurate generalization about the percentage of physics majors at the college, the sample should be representative of the entire student population. However, in this case, it is highly likely that the students in the calculus class may not be representative of all students at the college. People with different majors or interests may be less likely to take calculus, leading to a sampling bias.
It is important to note that response bias (option b.) and non-response bias (options e. and f.) rely on the assumption that the individuals identified to be in the sample were actually surveyed or interviewed. However, the bias in this scenario arises from individuals refusing to participate in the study, thus making option c. the most appropriate answer.