USA Today reported that about 47% of the general consumer population in the United States is loyal to the automobile manufacturer of their choice. Suppose Chevrolet did a study of a random sample of 1006 Chevrolet owners and found that 486 said they would buy another Chevrolet. Does this indicate that the population proportion of consumers loyal to Chevrolet is more than 47%? Use α = 0.01.
(a) What is the level of significance?
State the null and alternate hypotheses.
H0: p = 0.47; H1: p < 0.47H0: p = 0.47; H1: p > 0.47 H0: p = 0.47; H1: p ≠ 0.47H0: p > 0.47; H1: p = 0.47
(b) What sampling distribution will you use?
The standard normal, since np > 5 and nq > 5.The standard normal, since np < 5 and nq < 5. The Student's t, since np > 5 and nq > 5.The Student's t, since np < 5 and nq < 5.
What is the value of the sample test statistic? (Round your answer
to two decimal places.)
(c) Find the P-value of the test statistic. (Round your
answer to four decimal places.)
Sketch the sampling distribution and show the area corresponding to
the P-value.
(d) Based on your answers in parts (a) to (c), will you reject or
fail to reject the null hypothesis? Are the data statistically
significant at level α?
At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant.At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.
(e) Interpret your conclusion in the context of the
application.
There is sufficient evidence at the 0.01 level to conclude that the true proportion of customers loyal to Chevrolet is more than 0.47.There is insufficient evidence at the 0.01 level to conclude that the true proportion of customers loyal to Chevrolet is more than 0.47.
In: Statistics and Probability
The mean cost of domestic airfares in the United States rose to an all-time high of $385 per ticket. Airfares were based on the total ticket value, which consisted of the price charged by the airlines plus any additional taxes and fees. Assume domestic airfares are normally distributed with a standard deviation of $120. Use Table 1 in Appendix B. a. What is the probability that a domestic airfare is $555 or more (to 4 decimals)? ( ) b. What is the probability that a domestic airfare is $255 or less (to 4 decimals)? ( ) c. What if the probability that a domestic airfare is between $310 and $470 (to 4 decimals)? ( ) d. What is the cost of the 5% highest domestic airfares? (rounded to the nearest dollar) $ ( ) or -select your answer- more, less.
In: Statistics and Probability
The United States has experienced an unprecedented number of individuals protesting the use of force by law enforcement officers. This was precipitated by the George Floyd case. However, over the past few years our country has seen a number of incidents where law enforcement officers were alleged to have used excessive force in the apprehension of individuals. For example, Ferguson, Illinois and Baltimore, Maryland have both had incidents where the use of force by officers resulted in civil unrest. In it state and defend your position on whether or not you believe excessive force by law enforcement officers in our country is an issue. Include your suggestions/recommendations for addressing this issue. Write a 2-3 page, double-spaced paper regarding the use of force by law enforcement officers.
In: Nursing
According to the 1980 Census, the United States population was approximately 226,540,000 in 1980, and according to US Census Bureau estimates, approximately 317,300,000 at the beginning of 2014. Using Census data for 1980 and estimates derived from mortality data and census estimates for 2014, we arrive at the population estimates given in the table below:
|
Year |
Total Population |
Ages 15–24 |
Ages 25–44 |
Ages 45–64 |
|
1980 |
226,540,000 |
42,475,000 |
62,707,000 |
44,497,000 |
|
2014 |
317,300,000 |
43,956,000 |
84,410,000 |
83,747,000 |
The National Center for Health Statistics published a document entitled “Health, United States, 2015: With Special Feature on Racial and Ethnic Health Disparities” that includes a table listing the leading causes of death in both 1980 and 2014 for various categories of Americans. Under the Project Instructions link in Blackboard, you’ll find Discussion Board Forum 2: Data; this is a spreadsheet showing the leading causes of death in both 1980 and 2014 for these 3 age categories. Each of the first 3 questions has both a computational part and a discussion part. To get full credit for each of the discussion parts please support the reason you provide by citing a reference. This should not be an excessively difficult task: you can easily find information online for most of the illnesses or other causes listed in the report. All you need to do is provide the website you used (though other resources are also permitted if you prefer to use one of those).
1)Assuming that the population numbers in the above table are relatively accurate, use the Discussion Board Forum 2: Data spreadsheet to compute the deaths per 1000 people for each age group in both 1980 and 2014. Give these 6 values (e.g. deaths per 1000 people for ages 15–24 in 1980) and then cite a reference to discuss what might account for the changes between the death rates in 1 of these 3 age categories between 1980 and 2014.
2)Besides the changes in the overall death rate in the past 3 decades, the leading causes of death vary somewhat between 1980 and 2014. Choose 1 of the 3 age ranges and select 1 cause of death from the Discussion Board Forum 2: Data spreadsheet that strikes you as noteworthy and that appears in both the 1980 and 2014 lists. For the cause of death that you selected, compute the number of deaths per 1000 in both 1980 and 2014 for your chosen age group and cite a reference to discuss the possible reasons for any changes in the rates over this period.
3)Not only do the leading causes of death vary across time, they vary significantly for different age ranges. Looking only at the 2014 data, choose a cause of death that appears in both the 25–44 and 45–64 age categories and compute the number of deaths per 1000 people for both age categories. Cite a reference to discuss a possible reason for any differences in these values as people advance in age.
4)Contemplating causes of death might strike some people as unpleasant or even morbid. However, the Bible encourages us to give some thought to the fact of our own mortality. Ecclesiastes 7:2–4 says: “It is better to go to the house of mourning than to go to the house of feasting, for this is the end of all mankind, and the living will lay it to heart. Sorrow is better than laughter, for by sadness of face the heart is made glad. The heart of the wise is in the house of mourning, but the heart of fools is in the house of mirth.” It is interesting to consider why the author of Ecclesiastes encourages the wise to go to the house of mourning and the living to lay the end of all mankind to heart. What value might there be in thinking about the, admittedly uncomfortable, subject of the end of all mankind? What comes to your mind when you consider this topic?
| 2014 | |
| Population | 317,300,000 |
| Deaths | |
| All causes | 2,626,418 |
| Diseases of heart | 614,348 |
| Malignant neoplasms | 591,699 |
| Chronic lower respiratory diseases | 147,101 |
| Unintentional injuries | 136,053 |
| Cerebrovascular diseases | 133,103 |
| Alzheimer's disease | 93,541 |
| Diabetes mellitus | 76,488 |
| Influenza and pneumonia | 55,227 |
| Nephritis, nephrotic syndrome and nephrosis | 48,146 |
| Suicide | 42,773 |
| Ages 15 - 24 | |
| Population | 43,956,000 |
| Deaths | |
| All causes | 28,791 |
| Unintentional injuries | 11,836 |
| Suicide | 5,079 |
| Homicide | 4,144 |
| Malignant neoplasms | 1,569 |
| Diseases of heart | 953 |
| Congenital malformations/abnormalities | 377 |
| Influenza and pneumonia | 199 |
| Diabetes mellitus | 181 |
| Chronic lower respiratory disease | 178 |
| Cerebrovascular diseases | 177 |
| Ages 25 - 44 | |
| Population | 84,410,000 |
| Deaths | |
| All causes | 118,173 |
| Unintentional injuries | 33,405 |
| Malignant neoplasms | 14,891 |
| Diseases of heart | 13,709 |
| Suicide | 13,275 |
| Homicide | 6,747 |
| Chronic liver disease and cirrhosis | 3,307 |
| Diabetes mellitus | 2,708 |
| Cerebrovascular diseases | 2,324 |
| HIV disease | 1,757 |
| Influenza and pneumonia | 1,674 |
| Ages 45 - 64 | |
| Population | 83,747,000 |
| Deaths | |
| All causes | 524,725 |
| Malignant neoplasms | 160,116 |
| Diseases of heart | 109,264 |
| Unintentional injuries | 38,640 |
| Chronic liver disease and cirrhosis | 21,419 |
| Chronic lower respiratory diseases | 20,894 |
| Diabetes mellitus | 19,404 |
| Cerebrovascular diseases | 17,076 |
| Suicide | 16,294 |
| Septicemia | 8,223 |
| Influenza and pneumonia | 8,121 |
| 65 years and older | |
| All causes | 1,922,271 |
| Diseases of heart | 489,722 |
| Malignant neoplasms | 413,885 |
| Chronic lower respiratory diseases | 124,693 |
| Cerebrovascular diseases | 113,308 |
| Alzheimer's disease | 92,604 |
| Diabetes mellitus | 54,161 |
| Unintentional injuries | 48,295 |
| Influenza and pneumonia | 44,836 |
| Nephritis, nephrotic syndrome and nephrosis | 39,957 |
| Septicemia | 29,124 |
In: Economics
1. According to most estimates, the size of the "underground" economy in the United States could be as large as
a. The “above-ground” economy
b. The economy of China
c. 10% of GDP
d. The state of Rhode Island
2. The GDP per capita tells us
a. The amount of output each person would get if the economic pie were sliced evenly.
b. The amount of output each worker would get if the economic pie were sliced evenly.
c. The ratio of the maximum amount of output any person gets to the minimum amount of output each person gets.
d. The median amount of output each person gets, adjusted for inequality.
3. In the early 1940s, military planners needed to know the size of the economy so they could determine
a. The size of the tax base in the case of war
b. How many tanks and planes the economy could produce
c. The military budget for the next five years
d. Whether military spending was too large
4. Government social benefits paid to individuals are
a. Known as transfer payments, and are counted as part of government consumption and investment
b. Known as transfer payments, and are typically used to fund personal consumption
c. Known as output of government, and are counted as pert government consumption and investment
d. Known as output of government, and are typically used to fund personal consumption
5. GDP is defined as the dollar value of __________ in a given year.
a. The total output of the economy
b. All outputs used in the economy
c. All intermediate and final goods produced in the economy
d. The total purchases made in the economy
6. In GDP calculations, the work of stay-at-home parents is
a. Counted only for equivalent hours
b. Not counted
c. Counted as intermediate inputs
d. Counted at 50%
7. Government consumption includes all
a. Salaries paid to factory workers
b. Fuel for nuclear submarines
c. Cola served in a company cafeteria
d. Pencils bought by a private university
8. Imports enter the calculation of GDP
a. With a positive sign
b. With a negative sign
c. As an addition to changes in private inventories
d. Through the personal consumption category
9. Which of the following is NOT an element of the underground economy?
a. Off the books babysitting
b. Illegal drug deals
c. Commissioned salespeople
d. Cash only under the table businesses
10. If gross domestic purchases are ________, then net exports are ________.
a. Greater than gross domestic product; greater than net imports
b. Equal to zero; also equal to zero
c. Greater than gross domestic product; positive
d. Less than gross domestic product; positive
11. Gross domestic product does NOT include
a. Personal consumption
b. Intermediate inputs
c. Residential investment
d. Net exports
12. If a foreign car manufacturer builds a plant in the United States, the new plant will
a. Increase U.S. GDP by the amount produced
b. Have no effect on GDP because it is a foreign company
c. Decrease U.S. GDP by the amount produced because of foreign ownership
d. Increase U.S. GDP by the net exports of the company
In: Economics
According to a recent study annual per capita consumption of milk in the United States is 23.8 gallons. Being from the Midwest, you believe milk consumption is higher there and wish to test your hypothesis. A sample of 14 individuals from the Midwestern town of Webster City was selected and then each person's milk consumption was entered into the Microsoft Excel Online file below. Use the data to set up your spreadsheet and test your hypothesis.
| Gallons of Milk |
| 28.9 |
| 23.84 |
| 25.25 |
| 21.1 |
| 17.52 |
| 19.61 |
| 19.83 |
| 26.18 |
| 34.97 |
| 30 |
| 28.59 |
| 20.57 |
| 26.94 |
| 27.24 |
1. What is a point estimate of the difference between mean annual consumption in Webster City and the national mean?
2. At ? = 0.05, test for a significant difference by completing the following:
Calculate the value of the test statistic (2 decimals).
The p-value is
In: Statistics and Probability
Recent headlines have highlighted the spread of MRSA infection in the United States. Accoridng to the CDC, MRSA is responsible for over 90,000 serious infections and over 18,000 hospital stay-related deaths per year in the United States. These MRSA strains are responsible for many serious skin and soft tissue infections, as well as pneumonia. One major problem with MRSA is that occasionally the skin infection can spread to other organs of the body with more severe, life threatening symptoms, including necrotizing fasciitis and necrotizing pneumonia, followed by sepsis and toxic shock, and then death in up to 50% of cases. A striking finding about these infections is that they occur in young immunocompetent patients who were previously healthy. MRSA is resistant to several commonly prescribed antibiotics that are usually effective against gram-positive bacteria (methicillin, penicillin, and cephalosporins), and an infection with MRSA strain can be deadly if left untreated. MRSA is subcategorized as community aquired or hospital aquired, depending on how the infection is usually aquired. Most community aquired MRSA strains are still sensitive to many antibiotics, such as trimethoprim, tetracycline, and clindamycin, but hospital aquired MRSA strains are often resistant to these drugs will still sensitive to vancomycin and linezolid.
A) Provide common mechanism that accounts for the observed resistance of MRSA to methicillin, penicillin, and cephalosporin. Provide two different strategies that could be used to overcome this particular resistance.
B) For each of the antibiotics trimethoprim, tetracycline, and clindamycin, provide a possible mechanism to account for the observed resistance of HA-MrSA to the antibiotic. Provide a strategy that could be used to treat patients infected with HA-MRSA resistant to these antibiotics.
C) Why would HA-MRSA strains that are resistant to methicillin, penicillin, cephalosporins, trimethoprim, tetraculine and clindamysic still show sensitivity to vancomycin and linezolid?
D) Although CA-MRSA is resistant to clindamycin, treatment with clindamycin in combination with rifampin results in an increase in the 50% lethal dose (LD50) value from 10 without antibiotic treatment to 10^4 with rifampin to 10^8 for combined treatment with clindamycin and rifampin. In addtion, treatment with clindamycin enhanced opsonization of CA-MRSA by macrophages. What possible mechanism(s) could account for these observations (i.e., change in the LD50 value and enhanced opsonization)? Provide your rationale. Provide an experiment that could be performed to confirm your hypothesis.
In: Biology
1.Identify three macroeconomic variables in the United States that impact the supply and/or demand of the product or service produced by the company you selected for your microeconomic/macroeconomic analysis papers. ( Walmart's Neighborhood market is the service)
*I have identified Inflation, Unemployment and Interest rate but would like some insight on each element and sources to cite if possible.
2. Interpret the trends of the three selected macroeconomic variables for the past three years and evaluate how these trends will likely impact the supply and demand of your chosen product or service as well as the financial performance of your chosen company. (Walmart's Neighborhood market is the service)
I need some ideas here and some citation sources as well.
In: Economics
The international tax code affects the United States economy. In this discussion, you will comment on the complexity of the tax code and how the international tax code interacts with the U.S. tax code.
It was mentioned in our textbook that Pam Olson, former Treasury Assistant Secretary for Tax Policy, was quoted as saying, “It is difficult to predict the future of an economy in which it takes more brains to figure out the tax on our income than it does to earn it.” Read Testimony of Pamela Olson Before the Senate Committee on International Tax Policy and Competitiveness and comment on your experience with the complexity of the tax code. Why should it change to become more competitive with other countries? Why is international tax so important to the U.S. tax code? Cite specific code sections that you believe should change.
In: Accounting
The probability that a person in the United States has type
B+
blood is
10%.
Five
unrelated people in the United States are selected at random. Complete parts (a) through (d).
(a) Find the probability that all
five
have type
B+
blood.The probability that all
five
have type
B+
blood is
nothing.
(Round to six decimal places as needed.)
(b) Find the probability that none of the
five
have type
B+
blood.The probability that none of the
five
have type
B+
blood is
nothing.
(Round to three decimal places as needed.)
(c) Find the probability that at least one of the
five
has type
B+
blood.The probability that at least one of the
five
has type
B+
blood is
nothing.
(Round to three decimal places as needed.)
(d) Which of the events can be considered unusual? Explain. Select all that apply.
A.
The event in part (b) is unusual because its probability is less than or equal to 0.05.
B.
The event in part (c) is unusual because its probability is less than or equal to 0.05.
C.
None of these events are unusual None of these events are unusual.
D.
The event in part left parenthesis a right parenthesis is unusual because its probability is less than or equal to 0.05The event in part (a) is unusual because its probability is less than or equal to 0.05.
In: Statistics and Probability