Suppose rRF = 7%, rM = 9%, and bi = 2.2.
2. Now suppose rRF decreases to 6%. The slope of the SML remains constant. How would this affect rM and ri?
-Select-IIIIIIIVVItem 3
What is ri, the required rate of return on Stock i?
Round your answer to two decimal places.
%
1. Now suppose rRF increases to 8%. The slope of the SML remains constant. How would this affect rM and ri?
1. Now assume that rRF remains at 7%, but rM increases to 10%. The slope of the SML does not remain constant. How would these changes affect ri? Round your answer to two decimal places.
The new ri will be %.2. Now assume that rRF remains at 7%, but rM falls to 8%. The slope of the SML does not remain constant. How would these changes affect ri? Round your answer to two decimal places.
The new ri will be %.In: Finance
2. Physician Order: DiaBeta 5 mg p.o. Drug Label: DiaBeta tablets 2.5 mg. How many tablets will you give the patient?
3. Verapamil 2.5mg IV is ordered. The vial contains 5mg/mL. How many mL will be given per dose?
4. The order is for Morphine 8 mg I.M. The drug label reads morphine 10 mg/mL. How many milliliters will the patient receive?
5. Order: Fentanyl 50mcg IM. Available is a vial containing 0.05mg/mL. How many mL will be administered?
6. Dr. orders: give ½ gm of a med. You have on the shelf 200mg/mL vials. How many mL will you give?
7.The order reads 125 mL D5W per hour. The set delivers 10 gtt per mL. How many gtt/min will you administer?
8. Your client weighs 75 kg. She is to receive 0.004 mg of Dopamine per Kg of body weight per minute. You are to add 400 mg of Dopamine to 500 mL normal saline. The drip factor of your tubing is 60gtt/mL, how many gtt/min will you deliver?
9. Order 60mg/kg/day in 2 divided doses. Available: 100mg/mL vials. Patient weighs 125lbs. How many mL will you give per dose?
10. Order: Lopressor (Metoprolol) 100 mg po, bid. Available: Lopressor, 50 mg tablets. The client is going on a 2-week vacation & must have adequate medication to last him until he returns home. How many tablets will he need to have to cover the time of his vacation?
11. Order: Kanamycin 1.5 gm po q8h x 7 days. Available: Kanamycin 500 mg capsules. How many capsules will the client receive in the 7 days he is to receive this medication?
12. Order: Heparin, 600 U (units) SQ daily. Available: 1000 U/mL. How many mL will the patient receive?
13. Two liters of IV Lactated Ringer's is ordered to be given over 12 hours. The drop factor is 60gtt/mL. The IV has been running for 8 hours and 700 mL remain. How many gtt/min are needed so that the IV finishes in the required time?
In: Biology
1. Implement a public method named initialize. It takes a two dimensional square array of integers named
array as a parameter. It initializes all of the elements of the
array to the sum of their indices except for the
major diagonal (upper left to lower right) where each element is
initialized to -1. (For testing use a 4X4 or
5X5 array and have the application print out the array in 2
dimension format.
2. Implement a method named totals that takes a two dimensional
integer array named array as a parameter
and returns a one dimensional array where each element is the sum
of the columns of the input array.
3. A method named vowels that accepts a String array named alpha. The method will return the index of the
String that contains the most vowels. If there is a tie anyone will be good.
4. A method named count that accepts 2 parameters, an array of integers named array and an integer named min. The method will return the number of elements that are greater than ‘min’.
5. A method named order that accepts an integer array named digits. The method will print to the screen the both the maximum and minimum values of the array.
6. A method named summit that accepts 2 integer arrays named gamma and delta. If the arrays are the same size the method will return an array of the sum of the corresponding elements. If they are of different sizes the method will return an array of 10 elements where all of the elements are set to -1.
7. A method named border that accepts a two dimensional array of chars named array as a parameter. It initializes all of the elements of the array to ‘x’ except for the perimeter (first and last column, and first and last row) that is initialized to ‘o’.
In: Computer Science
Todd’s Turtles is expected to increase dividends by 20% in one year and by 15% in two years. After that, dividends will increase at a rate of 5% per year indefinitely. The last dividend was $1, the required return is 12%, what is the current price of the stock? A. $6.90 B. $8.67 C. $10.10 D. $13.72 E. $13.04
thanks
In: Finance
In PYTHON:
Write a function that receives a sentence and returns the last word of that sentence. You may assume that there is exactly one space between every two words, and that there are no other spaces at the sentence.
To make the problem simpler, you may assume that the sentence contains no hyphens, and you may return the word together with punctuation at its end.
In: Computer Science
For the following products, identify if they are at risk of lipid oxidation. For each of the following products, comment on the type of fat and explore ways to prevent lipid oxidation both during the product preparation and after packaging.
Products
1. Whole milk powder: 31% milk fat, 5% water
2. Blue cheese: 30% milk fat
3. Non-dairy soy creamer: 10% fat, 80% water
4. Oil fired corn chips: corn oil (30% fat), 2% water
5. Almond butter: 5% saturated fat, 60% unsaturated fat (mainly poly), 3% water
6. Peanut butter: 10% saturated, 50% unsaturated (mainly poly), 3% water
7. Blueberry muffin: canola oil (2% saturated, 15% unsaturated), 4% water
8. Smoked sausage: pork (28% fat), 40% water
9. Chia bar: 28% fat (6% saturated, 22% unsaturated)
10. Ramen chicken flavored noodle soup: 16% fat (8% saturated, 8% unsaturated) vegetable oil. 2% water
In: Anatomy and Physiology
In: Finance
Your assignment is to do a detailed statistical analysis of the data to be able to decide later what would be appropriate control charts to monitor these variables.
The manager provides you data that the office has collected on these two variables:
Present a report to the manager with the results of the statistical analysis of the data and your conclusions on the variables that will be used to monitor the process performance.
| Time it takes since the patient checks-in until the patient checks-out | ||||
| Observation | Time (minutes) | |||
| 1 | 62.14 | |||
| 2 | 57.41 | |||
| 3 | 26.73 | |||
| 4 | 42.26 | |||
| 5 | 43.74 | |||
| 6 | 74.56 | |||
| 7 | 48.13 | |||
| 8 | 86.31 | |||
| 9 | 53.24 | |||
| 10 | 53.18 | |||
| 11 | 48.11 | |||
| 12 | 36.5 | |||
| 13 | 59.61 | |||
| 14 | 54.33 | |||
| 15 | 41.55 | |||
| 16 | 41.08 | |||
| 17 | 50.88 | |||
| 18 | 69.97 | |||
| 19 | 51.74 | |||
| 20 | 38.86 | |||
| 21 | 78.41 | |||
| 22 | 33.97 | |||
| 23 | 55.05 | |||
| 24 | 26.06 | |||
| 25 | 69.2 | |||
| 26 | 34.85 | |||
| 27 | 31.95 | |||
| 28 | 40.58 | |||
| 29 | 54.27 | |||
| 30 | 25.5 | |||
| 31 | 35.31 | |||
| 32 | 47.13 | |||
| 33 | 57.26 | |||
| 34 | 60.88 | |||
| 35 | 48.04 | |||
| 36 | 52.95 | |||
| 37 | 43.4 | |||
| 38 | 33.48 | |||
| 39 | 52.89 | |||
| 40 | 25.75 | |||
| 41 | 54.07 | |||
| 42 | 44.1 | |||
| 43 | 44.7 | |||
| 44 | 62.07 | |||
| 45 | 26.47 | |||
| 46 | 36.9 | |||
| 47 | 57.39 | |||
| 48 | 66.52 | |||
| 49 | 60.59 | |||
| 50 | 40.62 | |||
| 51 | 44.68 | |||
| 52 | 43.8 | |||
| 53 | 63.47 | |||
| 54 | 39.36 | |||
| 55 | 85.98 | |||
| 56 | 41.13 | |||
| 57 | 52.86 | |||
| 58 | 44.75 | |||
| 59 | 17.26 | |||
| 60 | 43.47 | |||
| 61 | 32.6 | |||
| 62 | 44.1 | |||
| 63 | 69.64 | |||
| 64 | 79 | |||
| 65 | 59.99 | |||
| 66 | 44.93 | |||
| 67 | 51.54 | |||
| 68 | 64.99 | |||
| 69 | 37.88 | |||
| 70 | 54.02 | |||
| 71 | 49.41 | |||
| 72 | 47.66 | |||
| 73 | 73.03 | |||
| 74 | 48.88 | |||
| 75 | 72.41 | |||
| 76 | 46.14 | |||
| 77 | 65.28 | |||
| 78 | 40.46 | |||
| 79 | 44.32 | |||
| 80 | 58.42 | |||
| 81 | 100.65 | |||
| 82 | 47.51 | |||
| 83 | 43.31 | |||
| 84 | 42.62 | |||
| 85 | 73.19 | |||
| 86 | 30.77 | |||
| 87 | 55.73 | |||
| 88 | 70.71 | |||
| 89 | 65.12 | |||
| 90 | 75.82 | |||
| 91 | 36.26 | |||
| 92 | 52.59 | |||
| 93 | 49.3 | |||
| 94 | 40.8 | |||
| 95 | 51.2 | |||
| 96 | 59.28 | |||
| 97 | 27.59 | |||
| 98 | 28.02 | |||
| 99 | 28.23 | |||
| 100 | 45.74 | |||
In: Statistics and Probability
Your assignment is to do a detailed statistical analysis of the data to be able to decide later what would be appropriate control charts to monitor these variables.
The manager provides you data that the office has collected on these two variables:
Present a report to the manager with the results of the statistical analysis of the data and your conclusions on the variables that will be used to monitor the process performance.
| Time it takes since the patient checks-in until the patient checks-out | ||||
| Observation | Time (minutes) | |||
| 1 | 62.14 | |||
| 2 | 57.41 | |||
| 3 | 26.73 | |||
| 4 | 42.26 | |||
| 5 | 43.74 | |||
| 6 | 74.56 | |||
| 7 | 48.13 | |||
| 8 | 86.31 | |||
| 9 | 53.24 | |||
| 10 | 53.18 | |||
| 11 | 48.11 | |||
| 12 | 36.5 | |||
| 13 | 59.61 | |||
| 14 | 54.33 | |||
| 15 | 41.55 | |||
| 16 | 41.08 | |||
| 17 | 50.88 | |||
| 18 | 69.97 | |||
| 19 | 51.74 | |||
| 20 | 38.86 | |||
| 21 | 78.41 | |||
| 22 | 33.97 | |||
| 23 | 55.05 | |||
| 24 | 26.06 | |||
| 25 | 69.2 | |||
| 26 | 34.85 | |||
| 27 | 31.95 | |||
| 28 | 40.58 | |||
| 29 | 54.27 | |||
| 30 | 25.5 | |||
| 31 | 35.31 | |||
| 32 | 47.13 | |||
| 33 | 57.26 | |||
| 34 | 60.88 | |||
| 35 | 48.04 | |||
| 36 | 52.95 | |||
| 37 | 43.4 | |||
| 38 | 33.48 | |||
| 39 | 52.89 | |||
| 40 | 25.75 | |||
| 41 | 54.07 | |||
| 42 | 44.1 | |||
| 43 | 44.7 | |||
| 44 | 62.07 | |||
| 45 | 26.47 | |||
| 46 | 36.9 | |||
| 47 | 57.39 | |||
| 48 | 66.52 | |||
| 49 | 60.59 | |||
| 50 | 40.62 | |||
| 51 | 44.68 | |||
| 52 | 43.8 | |||
| 53 | 63.47 | |||
| 54 | 39.36 | |||
| 55 | 85.98 | |||
| 56 | 41.13 | |||
| 57 | 52.86 | |||
| 58 | 44.75 | |||
| 59 | 17.26 | |||
| 60 | 43.47 | |||
| 61 | 32.6 | |||
| 62 | 44.1 | |||
| 63 | 69.64 | |||
| 64 | 79 | |||
| 65 | 59.99 | |||
| 66 | 44.93 | |||
| 67 | 51.54 | |||
| 68 | 64.99 | |||
| 69 | 37.88 | |||
| 70 | 54.02 | |||
| 71 | 49.41 | |||
| 72 | 47.66 | |||
| 73 | 73.03 | |||
| 74 | 48.88 | |||
| 75 | 72.41 | |||
| 76 | 46.14 | |||
| 77 | 65.28 | |||
| 78 | 40.46 | |||
| 79 | 44.32 | |||
| 80 | 58.42 | |||
| 81 | 100.65 | |||
| 82 | 47.51 | |||
| 83 | 43.31 | |||
| 84 | 42.62 | |||
| 85 | 73.19 | |||
| 86 | 30.77 | |||
| 87 | 55.73 | |||
| 88 | 70.71 | |||
| 89 | 65.12 | |||
| 90 | 75.82 | |||
| 91 | 36.26 | |||
| 92 | 52.59 | |||
| 93 | 49.3 | |||
| 94 | 40.8 | |||
| 95 | 51.2 | |||
| 96 | 59.28 | |||
| 97 | 27.59 | |||
| 98 | 28.02 | |||
| 99 | 28.23 | |||
| 100 | 45.74 | |||
In: Statistics and Probability
Your assignment is to do a detailed statistical analysis of the data to be able to decide later what would be appropriate control charts to monitor these variables.
The manager provides you data that the office has collected on these two variables:
Present a report to the manager with the results of the statistical analysis of the data and your conclusions on the variables that will be used to monitor the process performance.
| Time it takes since the patient checks-in until the patient checks-out | ||||
| Observation | Time (minutes) | |||
| 1 | 62.14 | |||
| 2 | 57.41 | |||
| 3 | 26.73 | |||
| 4 | 42.26 | |||
| 5 | 43.74 | |||
| 6 | 74.56 | |||
| 7 | 48.13 | |||
| 8 | 86.31 | |||
| 9 | 53.24 | |||
| 10 | 53.18 | |||
| 11 | 48.11 | |||
| 12 | 36.5 | |||
| 13 | 59.61 | |||
| 14 | 54.33 | |||
| 15 | 41.55 | |||
| 16 | 41.08 | |||
| 17 | 50.88 | |||
| 18 | 69.97 | |||
| 19 | 51.74 | |||
| 20 | 38.86 | |||
| 21 | 78.41 | |||
| 22 | 33.97 | |||
| 23 | 55.05 | |||
| 24 | 26.06 | |||
| 25 | 69.2 | |||
| 26 | 34.85 | |||
| 27 | 31.95 | |||
| 28 | 40.58 | |||
| 29 | 54.27 | |||
| 30 | 25.5 | |||
| 31 | 35.31 | |||
| 32 | 47.13 | |||
| 33 | 57.26 | |||
| 34 | 60.88 | |||
| 35 | 48.04 | |||
| 36 | 52.95 | |||
| 37 | 43.4 | |||
| 38 | 33.48 | |||
| 39 | 52.89 | |||
| 40 | 25.75 | |||
| 41 | 54.07 | |||
| 42 | 44.1 | |||
| 43 | 44.7 | |||
| 44 | 62.07 | |||
| 45 | 26.47 | |||
| 46 | 36.9 | |||
| 47 | 57.39 | |||
| 48 | 66.52 | |||
| 49 | 60.59 | |||
| 50 | 40.62 | |||
| 51 | 44.68 | |||
| 52 | 43.8 | |||
| 53 | 63.47 | |||
| 54 | 39.36 | |||
| 55 | 85.98 | |||
| 56 | 41.13 | |||
| 57 | 52.86 | |||
| 58 | 44.75 | |||
| 59 | 17.26 | |||
| 60 | 43.47 | |||
| 61 | 32.6 | |||
| 62 | 44.1 | |||
| 63 | 69.64 | |||
| 64 | 79 | |||
| 65 | 59.99 | |||
| 66 | 44.93 | |||
| 67 | 51.54 | |||
| 68 | 64.99 | |||
| 69 | 37.88 | |||
| 70 | 54.02 | |||
| 71 | 49.41 | |||
| 72 | 47.66 | |||
| 73 | 73.03 | |||
| 74 | 48.88 | |||
| 75 | 72.41 | |||
| 76 | 46.14 | |||
| 77 | 65.28 | |||
| 78 | 40.46 | |||
| 79 | 44.32 | |||
| 80 | 58.42 | |||
| 81 | 100.65 | |||
| 82 | 47.51 | |||
| 83 | 43.31 | |||
| 84 | 42.62 | |||
| 85 | 73.19 | |||
| 86 | 30.77 | |||
| 87 | 55.73 | |||
| 88 | 70.71 | |||
| 89 | 65.12 | |||
| 90 | 75.82 | |||
| 91 | 36.26 | |||
| 92 | 52.59 | |||
| 93 | 49.3 | |||
| 94 | 40.8 | |||
| 95 | 51.2 | |||
| 96 | 59.28 | |||
| 97 | 27.59 | |||
| 98 | 28.02 | |||
| 99 | 28.23 | |||
| 100 | 45.74 | |||
In: Statistics and Probability