A 5-month-old infant who has a 3-day history of cough and rhinorrhea has developed symptoms of respiratory distress with audible expiratory wheezes and increased coughing. The infant’s immunizations are up-to-date. The physical exam reveals a respiratory rate of 50 breaths per minute, coarse expiratory wheezing, and prolonged expiration. An oxygen saturation is 96% on room air. What is the recommended treatment for this infant? Administer a trial of bronchodilators. Obtain a viral culture of nasal washings. Order an oral corticosteroid medication. Recommend increased fluids and close follow-up. Correct

There is a sample linear regression as follows: 

During the Civil War, soldiers routinely injected themselves with morphine to cope with pain and the tragedies of war. 

A 5-year-old child who had a repair for transposition of the great arteries shortly after birth is growing normally and has been asymptomatic since the surgery. The primary care nurse practitioner notes mild shortness of breath with exertion and, upon questioning, learns that the child has recently had a syncopal episode. What will the nurse practitioner do? Order an echocardiogram and chest radiograph. Perform pulmonary function testing. Reassure the parent that these symptoms are common. Refer the child to the cardiologist immediately. Correct

Let’s assume that we want to estimate the effect of tech innovation on individual wealth in a nation. We can measure individual wealth in a nation with GDP per capita. We can measure tech innovation with the number of patents or the number of science journal publications. In addition, we want to measure the Covid-19 pandemic effect on individual wealth as well. Therefore, we construct the dataset as follows: Patent: the number of patents in a country GDPcapita : GDP per capita = GDP/population GDPgrowth: GDP growth rate SCJournal: the number of scientific journal publications HighTechExport: the share of high-tech export in GDP Unemploy: Unemployment rate Covid: 1 data comes from 2020 (during the pandemic); 0 data comes from before the COVID-19 pandemic period. Then, we conducted correlation test among variables as follows: we want to put both the patent variable and SCJournal variable as independent variables into a linear regression. However, the high correlation between patent and SCJournal variables (i.e., 0.87) can cause _______________. In this case, we cannot trust the p-value for the coefficients of independent variables in the sample linear regression; therefore, we usually drop one of the correlated independent variables in the linear regression model.   

There is a population linear regression, as follows:

The primary care pediatric nurse practitioner (PNP) is performing a sports physical on an adolescent whose history reveals mild aortic stenosis (AS). What will the nurse practitioner recommend? Avoidance of all sports to prevent sudden death Clearance for any sports since this is mild Evaluation by a cardiologist prior to participation Correct Low-intensity sports, such as golf or bowling

The primary care pediatric nurse practitioner manages care in conjunction with a pediatric pulmonologist for a child with cystic fibrosis. Which medication regimen is used to facilitate airway clearance for this child? Ibuprofen and azithromycin Inhaled dornase alfa Correct Ivacaftor Prophylactic clindamycin

We want to measure the effect of job types on wages. The job variable contains four possible answers as follows: Job = 1 means a student; Job = 2 means a staff; Job = 3 means a professor; job =4 means a police officer. For this job type variable,  we need to define ______ base group when we put this job type variable as dummy variable(s) in a linear regression model.

There is a sample linear regression, as follows: