A patient is brought into the ER in status epilepticus. The…

A patient is brought into the ER in status epilepticus. The patient weighs 112 pounds. The effective dose of phenobarbital is 18 to 20 mg/kg. A single dose of 900 mg of Phenobarbital IV is ordered. Is the ordered dose an effective dose for this patient? Answer Yes or No

A dopamine drip is ordered at 6 mcg/kg/min for a patient who…

A dopamine drip is ordered at 6 mcg/kg/min for a patient who weighs 149 pounds. The infusion has a concentration of 800 mg of dopamine in a 250 ml bag of Normal Saline.  At what flow rate (mL/hr) will you set the IV pump? Round to the nearest 10th. Do not put units of measurement in the answer.

For the following dataset, please perform these tasks: Vis…

For the following dataset, please perform these tasks: Visualize: Sketch a scatterplot of the data and provide a brief interpretation (direction, form, and strength). Summary Statistics: Use your TI-84 calculator to find the sample mean and sample standard deviation for both variables. Correlation: Use your TI-84 calculator to find the correlation coefficient, r. Regression: Compute the equation of the least-squares regression line “by hand” using the summary statistics and correlation found in previous steps. Prediction: Use your regression equation to make the specific prediction requested in the problem. Nutrition – Sugar and Calories:  A nutritionist analyzes the relationship between the grams of sugar and the total calories in a sample of breakfast cereals. Sugar (x, grams) Total Calories (y) 2 110 5 130 7 145 9 160 12 190 15 210 18 230 20 250 Predict the number of calories for a cereal containing 10 grams of sugar.

For the following dataset, please perform these tasks: Vis…

For the following dataset, please perform these tasks: Visualize: Sketch a scatterplot of the data and provide a brief interpretation (direction, form, and strength). Summary Statistics: Use your TI-84 calculator to find the sample mean and sample standard deviation for both variables. Correlation: Use your TI-84 calculator to find the correlation coefficient, r. Regression: Compute the equation of the least-squares regression line “by hand” using the summary statistics and correlation found in previous steps. Prediction: Use your regression equation to make the specific prediction requested in the problem. Coffee Sales and Temperature:  A local cafe tracks the daily high temperature and the number of hot coffees sold. High Temp (x, °F) Hot Coffees (y) 32 115 38 102 45 94 52 80 60 65 68 55 75 42 Predict the number of hot coffees sold on a day when the high temperature is 50 degrees Fahrenheit.