Answer:
The dependent variable is their degree of sleepiness.
Explanation:
In a correlational study, an independent variable is expected to affect a dependent variable. In the example, the level of caffeine intake is predicted to change the participants' sleep patterns. In other words, the degree of sleepiness <u>depends</u> on the caffeine levels.
An easy way to remember the difference is to say: Independent causes change in dependent.
There are four states but the main one would be Colorado.
5 years in total for government I believe
I believe that is a rough definition of <u>Smog </u> which should be your answer
Answer:
The correct answer is: <em>B. A study of the types and prevalence of sexually transmitted infections (STIs) in small rural towns in a mid-western state.</em>
Explanation:
Sexually transmitted infections (STIs) is a topic that has had stigma, negative stereotypes and other negative connotations attached to it throughout history. If a study investigated the types and prevalence of STIs in small rural towns in a mid-western state, along with stigmatizing participants in the study, the results of this study could also potentially stigmatize residents of these towns by extrapolating claims such as "town <em>X </em>in this mid-western state has high prevalence of various types of STIs". These claims might make it seem like the presence of STIs is high in a given rural town (when this in fact might be untrue), especially considering the town is small in size. In this way, a study that investigates the types and prevalence of STIs in small rural towns in a mid-western state could produce harm to members of the sampled population who do not actually participate in the research study.