Answer:
Here are the top five reasons why you need to wear safety glasses. Safety glasses can prevent foreign objects that are floating around from damaging your vision. Dangerous particles or chemicals could be floating around in your workplace. Some jobs that are at a high risk include construction, maintenance, welding, plumbing, and mining.
Explanation:
C<span>onsidering the age of the of Ms. Graham, she would be rational in the way she learns something. The medical assistant should be able to convey to her why she needs to learn those things. She </span>chooses<span> to be there learning because she knows </span>it's<span> important so the role </span>of<span> the medical assistant is to let her know why it is important. The medical assistant should also assess the type of learner Ms. Graham is. She may already have </span>visual problems, hearing problems and the like, <span>so this should be considered in approaching her. She is more interested on the outcome of her learning so the medical assistant should make her more involved throughout the course of learning. She should also use words of encouragement to her since they are likely to be very sensitive with the words you are using to them.</span>
The great/best answer is d. By definition the proportion of false-positive results among those who test positive is 1 minus the positive predictive value. If this number is lower in population A, then population A has a higher positive predictive value. As the disease prevalence increases, the positive predictive value increases. Population A has a higher positive predictive value; therefore, the disease must be more prevalent in population A.
<span>Answer a is not correct since adequate information is provided to infer the explanation for the finding. Answers b and e are incorrect since specificity is a characteristic of a test and does not change when the test is applied to different populations with varying disease prevalence. Answer c is incorrect since the prevalence of disease must be higher in population A as the positive predictive value is higher in population A</span>