The user is placed in a particular age group and then their probability to suffer from stroke is determined. The results obtained are also based on the age group a person falls under. The rating results are provided in either lower than average, average or higher than average of a person in a particular age group. To analyze the stroke probability in a person, the tool enquires on several causing factors. Firstly, the gender of the user is required, the user is then placed in an age group. Questions on the health status of a person are requested. For instance, the tool asks on medical history of condition like diabetes, irregular pulse, fibro muscular dysplasia and transient ischemic attack (UCLA Stroke Center, 2015). Social factors like smoking are then analyzed. The elderly population is the most likely age group to be suffer from stroke. In an argument by Birkett (2012) the population is comprised of too many risk factors as influenced by aging thus a great stroke risk. However, the risk factors in older adults are significantly influenced by the lifestyle at a younger age. For this reason, the younger age groups are a significant target population as older adults. In addition, the risk calculator can be of great importance to younger adults than older adults. This is based on that risk causing factors in older adults are irreversible. In younger adults changes in lifestyle and seeking good health care may reduce the probability of suffering from stroke at an older age (Birkett, 2012). For the older population the tool may also be effective in analyzing their stroke risks status. Similarly to the younger age groups, older adults may also feel the need to change their lifestyle to minimize their stroke risk. For instance, an older adult may be advised to stop smoking or drinking due to a high probability of them having stroke.
The research paper “The Stroke Risk Calculator” gives description of the tool, which provides an opportunity for the user to calculate their risk probability of having stroke. The tool provides an analysis within a timeframe of 10 years…
The risk free interest rate is the interest rate on a security which has no risk such as Treasury Bills. The real risk free interest rate is not constant and changes in relation to economic conditions such as “on the rate of return corporations and other borrowers expect to earn on productive assets and on people’s time preferences for current versus future consumption” (Brigham and Ehrhardt 2005, p28).
This means that the company will be at the positive end in their profit and loss statement. Secondly, NPV analysis shows that the project provides a positive NPV which is calculated by discounting at the required rate of return. 4. Depreciation is not a cash flow item however; it does reduce income tax and subsequently adds back in the cash flow statement.
(5 pts) The acceptability of this project depends upon the fact that the return for the project should be greater than the return of it. This logic holds true here. This is evident from the fact that the Net Present Value of this project is greater than zero which means that the project is in a condition to generate returns to a level that the present value of it is more than zero.
On the other hand, Regions Best provides an EAR of 14%. Therefore, it is clear that the cost of financing is lesser for National first and AirJet should choose them as their financiers.
In accordance with the above calculation, the company has made the right
nt value method is a financial tool that permits the future cash flows to be discounted over their time periods and brought to their present value (Damodaran, 2002). Two of the reasons for an investor should be interested in the present value method are:
The three investment
This is a risk as they are prone to issues such as stroke and or coronary heart diseases. Currently, hypertension rate in Kansas is estimated to be 31.3%. This is alarming as the state is ranked as the 27th in relation to this obesity related
Summed up data as obtained from the calorie calculator is then fed into the program for a detailed analysis. The next stage involves determining input variable (Y), which is the amount of burned calories. Data on