Which of the following is true about confounding variables in observational studies?
a. If a confounding variable is present, then we know that a change in the explanatory variable cannot cause a change in the response variable.
b. If a confounding variable is present, it is possible that a change in the explanatory variable causes a change in the response variable, but it is hard to separate the effect of the explanatory variable and the effect of the confounding variable on the response.
c. Confounding variables are not a problem in observational studies because we only observe the explanatory and response variables.
d. Confounding variables are only a problem in observational studies if they are also interacting variables.
Question 2
In an observational study, confounding means
a. having more than one response variable.
b. that the effect of the explanatory variable on the response variable changes for different categories of a third variable.
c. that the effects of several variables are tested at one time.
d. that the effect of the explanatory variable on the response variable can't be separated from the effect of other variables on the response.
Scatterplots of Variables Having Several Different Levels of Correlation
The structure of B-DNA from studies of molecular crystals
Use of squid giant axons for studies of neural transmission
The RecA strand exchange reaction as shown from single-molecule studies
Discrete random variables- Probability Distribution Function
Microbes that have become model organisms for genetic studies