1. Propose a research hypothesis that can be explored using quantitative data collected
for two different variables. Provide a Methods design that may be used to collect data to
examine the hypothesis with quantitative data. Be very specific in your statement of
Methods. Provide a statement about how you would analyze the data once it is collected
and how you would report it in a research study.
2. One of the common methods police officers use to determine whether or not a driver is
driving under the influence of alcohol is to make the driver walk on a straight line.
Suppose that you question the validity of this method because you believe that there may
be other confounding factors and you decide to check it for yourself:
a. Briefly describe how you would proceed.
b. Make sure to show:
– what the underlying assumption(s) is (are)
– what the research hypotheses will be
– what the dependent and independent variables will be and how they will be
3. Answer the following questions that pertain to causation.
a) There is a common saying amongst statisticians and researchers that, “Correlation
does not mean causation.” Explain what this means. Provide an illustration of a
situation where there is a correlation between two variables that does not necessarily
translate into causation.
b) Describe the criterion that needs to be met in order to establish causation.
c) Identify and describe one research method design that does a better job than
correlational or cross-sectional research at establishing causation.