1) identify whether variable is categorical or numerical
the company where a person works
answer: categorical
2) at each building on campus a polister asks just the first students who enters the building " did you drive to campus?" the pollister uses the data to predict the number of all the college's students who drive to campus.
identify the bias
a. responsive bias because individuals refused to be part of the study,
b. non responsive bias because the surveyed peoples answer may not match with what they really think
c. non responsive bias because individuals identified to be in the sample could not be found
d. sampling bias because individuals refused to be part of the study
e. responsive bias because individuals identified to be in sample could not be found
f, sampling bias because the sampling techniques favors one group of individual over another,
answer: b and f
1. yes
2. only one answer possible
is select all that apply as well
OK. B and F.
What do you not understand about Ms. Sue's answer. There is only one (1) answer to #2.
that the questions says select all so there should be more than one answer.
To determine whether a variable is categorical or numerical, you can follow these steps:
1) Understand the type of data being represented by the variable. In the first example, the variable is "the company where a person works." This type of data represents different categories or groups that a person can belong to.
2) Ask yourself if the data can be counted or measured. In the case of the company where a person works, the data is not something that can be counted or measured numerically.
Hence, the variable "the company where a person works" is categorical.
Regarding the identification of bias in the second scenario, let's break it down:
The scenario describes a pollster asking the first student who enters each building on campus whether they drove to campus. The pollster then uses this data to make a prediction about the number of all the college's students who drive to campus.
The identified biases are as follows:
a. Responsive bias because individuals refused to be part of the study: This bias would occur if some individuals refused to answer the question about whether they drove to campus. However, the scenario does not mention anything about individuals refusing to participate.
b. Non-responsive bias because the surveyed people's answer may not match what they really think: This bias occurs when the answers given by the surveyed individuals do not reflect their true beliefs or behaviors. In this scenario, the survey question relies on the first students who enter each building, which may not provide an accurate representation of the entire college's students.
c. Non-responsive bias because individuals identified to be in the sample could not be found: This bias occurs when identified individuals for the sample cannot be located or reached. While this bias is mentioned in the options, the scenario does not provide any information indicating that individuals could not be found.
d. Sampling bias because individuals refused to be part of the study: This bias would occur if specific individuals refused to participate, impacting the composition of the sample. As mentioned earlier, the scenario does not indicate anyone refusing to participate.
e. Responsive bias because individuals identified to be in the sample could not be found: Similar to option c, this bias occurs when individuals cannot be found. However, the scenario does not mention any individuals being unable to locate.
f. Sampling bias because the sampling technique favors one group of individuals over another: This bias occurs when the sampling technique used favors one group over others, potentially leading to an unrepresentative sample. In this scenario, the sampling technique relies on the first students who enter each building, which may not provide a fair representation of the entire college's students. Hence, this bias is applicable.
Therefore, the biases identified in this scenario are option b (non-responsive bias because the surveyed people's answer may not match what they really think) and option f (sampling bias because the sampling technique favors one group of individuals over another).