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Create a 6 page essay paper that discusses High altitude: effects on respiration and mountain sikness.

The normal barometric pressure is much higher! This means that at a higher altitude, your body must adjust to the lower barometric and oxygen pressure. Other conditions that the body needs to adjust to at high altitude are low air temperature, low humidity and high solar radiation intensity. Failure of the body to adjust to all these can cause fluid accumulation in the lungs and brain and if not treated immediately, this can lead to serious consequences (Curtis, 1995).

“For any given energy expenditure, the ventilation (VEBTPS. lmin-1) increases proportionately with altitude. Since barometric pressure decreases, there is less oxygen per volume of gas than at sea level” (Schoene, 2001). As the body receives lesser oxygen as you move higher and higher, the breathing rate must increase. This produces the extra oxygen content required and helps the body adjust to lower volumes of oxygen molecules. This inflow of oxygen by the lungs from the atmosphere and the corresponding outflow of oxygen into the atmosphere is referred to as pulmonary ventilation and hence, it tends to increase with altitude. If pulmonary ventilation is not increased in response to a decrease in the barometric and oxygen pressure, severe repercussions can result on human health. While pulmonary ventilation needs to increase, pulmonary diffusion is not greatly affected at altitude. It is mainly only affected with an increase in workload.

As people move to higher altitudes, they may develop a condition called Acute Mountain Sickness. AMS can affect any person, of any gender or age and is promoted by a number of causes but Erba et al. (2004) states that hypoxia seems to a play a major role and can impair the pulmonary gas exchange. This can worsen AMS because effective pulmonary gas exchange is essential at high altitude because of the inadequate oxygen supply available. However, there is still confusion as

 

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write my assignment 12414

Use a two-dimensional array to solve the following problem: A company has four salespeople(1 to 4) who sell five different products (1 to 5). Once a day, each salesperson passes in a slip foreach different type of product actually sold. Each slip containsa) the salesperson number,b) the product number, andc) the total dollar value of the product sold that day.Thus, each salesperson passes in between zero and five sales slips per day. Assume that the informationfrom all of the slips for last month is available. Write a script that will read all this informationfor last month’s sales and summarize the total sales by salesperson by product. All totals should bestored in the two-dimensional array sales. After processing all the information for last month, displaythe results in an XHTML table format, with each of the columns representing a differentsalesperson and each of the rows representing a different product. Cross-total each row to get thetotal sales of each product for last month; cross-total each column to get the total sales by salespersonfor last month. Your tabular printout should include these cross-totals to the right of thetotaled rows and to the bottom of the totaled columns.

 

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write my assignment 1832

25. Price earnings ratioConsider Pacific Energy Company and U.S. Blue chips, Inc., both of which reported earnings of $750,000. Without new projects, both firms will continue to generate earnings of $750,000 in perpetuity. Assume that all earnings are paid as dividends and that both firms require a 14 percent rate of return. a. What is the current PE ratio for each company? b. Pacific Energy Company has a new project that will generate additional earnings of $100,000 each year in perpetuity. Calculate the new PE ratio of the company. c. U.S. Bluechips has a new project that will increase earnings by $200,000 in perpetuity. Calculate the new PE ratio of the firm.  

 

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write my assignment 22867

W6 Project Assignment “Project Week 6”

Business Statistics

Project Week 6

For these project assignments throughout the course you will need to reference the data in the ROI Excel spreadheet. Download it here.

You are doing hypothesis testing.  Make sure that you have all steps of hypothesis testing.

Using the ROI data set:

  1. For each of the 2 majors test the hypothesis at the 5% significance level:
    • The mean ‘Cost’ for a college is $160,000. Be sure to interpret your results.
    • List your givens – n, standard deviation, alpha…
    • Provide the formula you will use. Why are you using that formula?  How does it fit the situation?
    • Show how you have plugged in the numbers.
    • What is your computed test statistic?
    • Show the computation of the p value.
    • Will you reject or fail to reject the null hypothesis. Why?
  2. For Business versus Engineering majors conduct a two sample test of the hypothesis at the 10% significance level (assume the variances are not equal):
    • The average ’30-Year ROI’ for Business majors is less than for Engineering Majors.  Be sure to interpret your results.
    • Make sure to state your givens.
    • State your null and alternative hypotheses.
    • Show which formula you used.
    • Why did you reject or fail to reject your null hypothesis?

In a highlighted box, make sure that you are including your findings.  What do they mean in terms of ROI?  What hypotheses were rejected? What does that mean in terms of ROI?  What hypotheses failed to be rejected?  What does that mean in terms of ROI?

Grading Criteria AssignmentsMaximum PointsMeets or exceeds established assignment criteria40Demonstrates an understanding of lesson concepts20Clearly presents well-reasoned ideas and concepts30Uses proper mechanics, punctuation, sentence structure, and spelling10Total100 

 

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