The United States of America has long been viewed as a land of opportunity where everyone is positioned to succeed. Stratification scholars have long argued that opportunity is limited based on the social class one was born into. An individual born into a higher social class background is likely to have more opportunities that one born into a lower social class background. This is believed to be true in post-zombie US as well. To explore this, please see the data from the New Reformed U.S. Census Bureau below comparing the percentage of state residents with a Bachelor’s degree with state median household income collected in 2013. This data represents the 10 most populated states in the Reformed U.S.
|
State |
Percentage of State Residents with a Bachelor’s Degree |
Median Household Income (x$100) |
|
California |
29.80 |
566.45 |
|
Texas |
22.50 |
449.22 |
|
New York |
32.30 |
513.84 |
|
Florida |
27.20 |
455.95 |
|
Illinois |
31.20 |
520.06 |
|
Pennsylvania |
26.60 |
452.59 |
|
Ohio |
23.30 |
471.82 |
|
Michigan |
26.10 |
471.82 |
|
Georgia |
28.10 |
468.32 |
|
New Jersey |
35.60 |
644.70 |
1. What is the r value for the relationship between the data distributions above?
2. What is the proportion of variance accounted for?
3. You will need to find the regression line for this data. With that in mind, what is the b for this data?
4. What is the a for this data?
5. Using the data above, what is the Y' for an X of 24.8?
6. Using the data above, what is the Y' for an X of 27.65?
7. In your own words but based on the strength and direction of the relationship you calculated, explain the relationship between education and median household income.
In: Statistics and Probability
The following table shows the approximate numbers of school goers in the United States (residents who attended some educational institution) in 1998, broken down by age group. Age 3−6.9 7−12.9 13−16.9 17−22.9 23−26.9 27−42.9 Population (millions) 8 22 15 13 3 5 Use the rounded midpoints of the given measurement classes to compute the probability P distribution of the age X of a school goer. (Round probabilities to four decimal places.)
Age 5 10 15 20 25 35 P(X = x) Compute the expected value of X, E(X). (Round your answer to one decimal place.)
E(X) = What information does the expected value give about residents enrolled in schools? (Round your answer to one decimal place.) In 1998, was years old.
In: Statistics and Probability
|
Relaxation |
Pharmaceutical |
|
98 |
20 |
|
117 |
35 |
|
51 |
130 |
|
28 |
83 |
|
65 |
157 |
|
107 |
138 |
|
88 |
49 |
|
90 |
142 |
|
105 |
157 |
|
73 |
39 |
|
44 |
46 |
|
53 |
194 |
|
20 |
94 |
|
50 |
95 |
|
92 |
161 |
|
112 |
154 |
|
71 |
75 |
|
96 |
57 |
|
86 |
34 |
|
92 |
118 |
|
75 |
41 |
|
41 |
145 |
|
102 |
148 |
|
24 |
117 |
|
96 |
177 |
|
108 |
119 |
|
102 |
186 |
|
35 |
22 |
|
46 |
61 |
|
74 |
75 |
In: Statistics and Probability
(Refer to HW6 #4) A past survey shows that 49% of
eighth-graders in the United States Believe
that smoking one pack of cigarettes a day does not pose a serious
risk to their health. A recent
sample of survey of 400 eighth-graders from the United States
showed that 176 of them believe that
smoking one pack of cigarettes a day does not pose a serious rick
to their health.
Is the currant proportion of all U.S. eighth-graders who hold this
opinion is less than 49%? Perform
the hypothesis testing at 1% significance level by answering the
following questions.
(a) Define the p in the context of the problem.
(b) Formulate the null and alternative hypothesis.
(c) State the test statistic and its approximate
distribution.
(d) Determine the critical value for α = .01 and state the decision
rule.
(e) Calculate the observed value of the test statistic from the
sample.
(f) State whether H0 is rejected and tell why.
(g) Calculate the P-value and do the hypothesis testing based on
the P-value.
(h) Express the conclusion in the context of the problem, using
common English.
In: Statistics and Probability
Use the AD/AS model to illustrate what happens to United States equilibrium GDP and the price level under the following scenarios. Also state what happens to national income and unemployment. Illustrate only short run fluctuations in real GDP.
1.Canada, the number one destination of U.S. exports, goes into recession.
2.Energy prices rise throughout the economy.
3.Wages fall throughout the economy.
4.Congress passes a law lowering the income tax.
5.Businesses become more optimistic and raise their forecast ROI.
Include a caption! Beside or below each graph, explain why you shifted the curve.
In: Economics
In a survey of 1000 randomly selected adults in the United States, participants were asked what their most favorite and what their least favorite subject was when they were in school (Associated Press, August 17, 2005). In what might seem like a contradiction, math was chosen more often than any other subject in both categories! Math was chosen by 228 of the 1000 as the favorite subject, and it was also chosen by 366 of the 1000 as the least favorite subject.
(a) Construct a 95% confidence interval for the proportion of U.S. adults for whom math was the favorite subject in school. (Give the answers to four decimal places.)
( , )
(b) Construct a 95% confidence interval for the proportion of U.S. adults for whom math was the least favorite subject. (Give the answers to four decimal places.)
( , )
In: Statistics and Probability
Smith Co. operates business in the United States and New Zealand. In attempting to assess its economic exposure, it compiled the following information.
i. Smith’s U.S. sales are slightly influenced by the New Zealand dollar (NZ$) value, due to confronts rivalry from New Zealand exporters. It estimates the U.S. sales based on the following three exchange rate scenarios:
Revenue from U.S. Business
Exchange Rate of NZ$ (in millions)
NZ$ = $.48 $100
NZ$ = .50 105
NZ$ = .54 110
ii. Revenues for Smith Co. in New Zealand dollars are projected to be NZ$600 million.
iii. Cost of goods sold is projected at $60 million from the U.S. materials purchase and NZ$100 million from the New Zealand materials purchase.
iv. Fixed operating expenses are valued at $30 million.
v. Variable operating expenses are projected at 20 percent of total sales (after including New Zealand sales, translated to a dollar amount).
vi. Interest expense is projected at $20 million on prevailing U.S. loans, and the company has no existing New Zealand loans.
Questions:
Also answer the following questions based on the rubric.
Describe how Smith Co. can restructure its operations to minimize the earnings sensitivity to the degree of exchange rate movements without reducing its business volume in New Zealand.
In: Accounting
You will need to answer this question using the four steps process. In your answer, you are required to discuss and apply relevant cases, sections of Acts of Parliament and/or terms of a treaty. The question has three parts.
The Happy Wanderer is a ship registered in the United States which is regularly maintained by its owners. The vessel was loaded at Fremantle, Western Australia, with a cargo of flour, bound for South Africa. During the voyage the ship collided with a whale which was migrating north to breed. When the ship docked in Cape Town it was found that the flour had been damaged due to seawater leaking into the hold. An inspection of the hull showed that the collision with the whale had caused a crack that lead to the water seepage.
Discuss the carrier's obligations under the Hague-Visby Rules.
In: Accounting
Consider a monopoly of your choice that exists in the United
States. Examine its economic
characteristics and state how it differs from an oligopolist or a
monopolistically competitive firm.
(explain how it can be an oligopolist, but usually has the price
making power of a monopolist).
Also, determine if it differentiates on the basis of price and
reduces economic efficiency. You
may state examples if you want to.
Your summary is like an essay, so try to write using technically
correct English to earn points.
In: Economics
Estimate how many deaths there are annually from tornado and drowning in the United States. Provide an actual number in your answer and explain statistically how you came to that answer.
Info:
DROWNINGS:
From 2005-2014, there were an average of 3,536 fatal unintentional drownings (non-boating related) annually in the United States — about ten deaths per day.1 An additional 332 people died each year from drowning in boating-related incidents.
TORNADOS:
| Year | tornado deaths |
| 1875 | 183 |
| 1876 | 51 |
| 1877 | 64 |
| 1878 | 102 |
| 1879 | 85 |
| 1880 | 256 |
| 1881 | 73 |
| 1882 | 200 |
| 1883 | 292 |
| 1884 | 252 |
| 1885 | 58 |
| 1886 | 129 |
| 1887 | 60 |
| 1888 | 48 |
| 1889 | 32 |
| 1890 | 244 |
| 1891 | 36 |
| 1892 | 114 |
| 1893 | 294 |
| 1894 | 124 |
| 1895 | 30 |
| 1896 | 537 |
| 1897 | 60 |
| 1898 | 162 |
| 1899 | 227 |
| 1900 | 101 |
| 1901 | 52 |
| 1902 | 157 |
| 1903 | 216 |
| 1904 | 87 |
| 1905 | 184 |
| 1906 | 70 |
| 1907 | 80 |
| 1908 | 477 |
| 1909 | 404 |
| 1910 | 12 |
| 1911 | 55 |
| 1912 | 175 |
| 1913 | 346 |
| 1914 | 41 |
| 1915 | 84 |
| 1916 | 150 |
| 1917 | 551 |
| 1918 | 136 |
| 1919 | 206 |
| 1920 | 499 |
| 1921 | 202 |
| 1922 | 135 |
| 1923 | 110 |
| 1924 | 376 |
| 1925 | 794 |
| 1926 | 144 |
| 1927 | 540 |
| 1928 | 95 |
| 1929 | 274 |
| 1930 | 179 |
| 1931 | 36 |
| 1932 | 394 |
| 1933 | 362 |
| 1934 | 47 |
| 1935 | 71 |
| 1936 | 552 |
| 1937 | 29 |
| 1938 | 183 |
| 1939 | 91 |
| 1940 | 65 |
| 1941 | 53 |
| 1942 | 384 |
| 1943 | 58 |
| 1944 | 275 |
| 1945 | 210 |
| 1946 | 78 |
| 1947 | 313 |
| 1948 | 139 |
| 1949 | 211 |
| 1950 | 70 |
| 1951 | 34 |
| 1952 | 230 |
| 1953 | 519 |
| 1954 | 36 |
| 1955 | 129 |
| 1956 | 83 |
| 1957 | 193 |
| 1958 | 67 |
| 1959 | 58 |
| 1960 | 46 |
| 1961 | 52 |
| 1962 | 30 |
| 1963 | 31 |
| 1964 | 73 |
| 1965 | 301 |
| 1966 | 98 |
| 1967 | 114 |
| 1968 | 131 |
| 1969 | 66 |
| 1970 | 73 |
| 1971 | 159 |
| 1972 | 27 |
| 1973 | 89 |
| 1974 | 366 |
| 1975 | 60 |
| 1976 | 44 |
| 1977 | 43 |
| 1978 | 53 |
| 1979 | 84 |
| 1980 | 28 |
| 1981 | 24 |
| 1982 | 64 |
| 1983 | 34 |
| 1984 | 122 |
| 1985 | 94 |
| 1986 | 15 |
| 1987 | 59 |
| 1988 | 32 |
| 1989 | 50 |
| 1990 | 53 |
| 1991 | 39 |
| 1992 | 39 |
| 1993 | 33 |
| 1994 | 69 |
| 1995 | 30 |
| 1996 | 25 |
| 1997 | 67 |
| 1998 | 130 |
| 1999 | 94 |
| 2000 | 41 |
| 2001 | 40 |
| 2002 | 55 |
| 2003 | 54 |
| 2004 | 35 |
| 2005 | 39 |
| 2006 | 67 |
| 2007 | 81 |
| 2008 | 126 |
| 2009 | 21 |
| 2010 | 45 |
| 2011 | 553 |
| 2012 | 70 |
In: Statistics and Probability