1.At a road section, an average of 15 vehicles arrive during a 10-minute interval. If vehicles arrive according to a Poisson distribution, what is the probability that the number of vehicles arriving during a 3-minute interval is between 2 and 5 (i.e., 2 ≤ k ≤ 5)?
a.0.110
b.0.171
c.0.642
d.0.653
e.0.703
2.At a specific point on a highway, it is known that the time headways between successive vehicles are exponentially distributed and that 65% of the headways are greater than 3 seconds. What is the probability that less than two vehicles arrive during a 20-second interval?
a.0.219
b.0.233
c.0.350
d.0.397
e.0.412
Construction of a new fright terminal along a rural highway has been proposed. During certain periods of the day, significant numbers of large trucks are expected to depart the terminal’s one-lane driveway to access an interstate highway. Developers would like to know if there are an adequate number of time gaps (headways) in the highway traffic to permit about 40 trucks per hour to enter the highway without the need for a traffic signal. To permit a truck to safely enter the highway, a time gap of at least 8 seconds is needed. Assuming that there will be a flow of 850 vehicles on the highway during a design hour, how many gaps or opportunities will there be during the design hour for trucks to enter the highway without a traffic signal? Assume that vehicle arrivals follow a Poisson distribution.
a.849
b.425
c.340
d.212
e.128
In: Civil Engineering
|
Steinberg Corporation and Dietrich Corporation are identical companies except that Dietrich is more levered. Both companies will remain in business for one more year. The companies' economists agree that the probability of the continuation of the current expansion is 70 percent for the next year, and the probability of a recession is 30 percent. If the expansion continues, each company will generate earnings before interest and taxes (EBIT) of $3.4 million. If a recession occurs, each company will generate earnings before interest and taxes (EBIT) of $1.8 million. Steinberg's debt obligation requires the company to pay $970,000 at the end of the year. Dietrich's debt obligation requires the company to pay $1.9 million at the end of the year. Neither company pays taxes. Assume a discount rate of 12 percent. |
| a-1. |
What is the value today of Steinberg's debt and equity? (Enter your answers in dollars, not millions of dollars, e.g., 1,234,567. Do not round intermediate calculations and round your answers to the nearest whole number, e.g., 32.) |
| Steinberg's | |
| Equity value | $ |
| Debt value | $ |
| a-2. |
What is the value today of Dietrich's debt and equity? (Enter your answers in dollars, not millions of dollars, e.g., 1,234,567. Do not round intermediate calculations and round your answers to the nearest whole number, e.g., 32.) |
| Dietrich's | |
| Equity value | $ |
| Debt value | $ |
| b. | Steinberg’s CEO recently stated that Steinberg’s value should be higher than Dietrich’s because the company has less debt and therefore less bankruptcy risk. Do you agree or disagree with this statement? | ||||
|
In: Finance
Determine the number of moles of the compound and determine the
number of moles of each type of atom in
each of the following:
(a) 2.12 g of potassium bromide, KBr
(b) 0.1488 g of phosphoric acid, H3PO4
(c) 23 kg of calcium carbonate, CaCO3
(d) 78.452 g of aluminum sulfate, Al2(SO4)3
(e) 0.1250 mg of caffeine, C8H10N4O2
In: Chemistry
The number of effective workers takes into account the number of workers and the:
a) amount of capital available to each worker
b) rate of growth of the number of workers
c) efficiency of each worker
d) saving rate of each worker
In: Economics
An element has an atomic number of 76. The number of protons and electrons in a neutral atom of the element are?
In: Chemistry
Number of units produced 30, 000
Number of units sold 28,000
Selling price $20
Beginning inventory 0
Fixed selling and administrative costs $ 20,000
Fixed manufacturing overhead $ 150,000
Direct materials cost per unit 2
Direct manufacturing labor 6
Variable manufacturing overhead per unit 4
Variable selling expenses per unit 2
FMOH per unit 5
1.Operating Income under Absorption method is
2.If Sales Revenue $560,000 then Gross Margin under Absorption method is
3.Cost of Goods Sold and Ending inventory under Absorption costing method are:
4.What is Cost of Goods Manufactured under Variable costing method
5.What is Cost of goods manufactured under Absorption costing method
In: Accounting
7. Ask the user to type in a number and compare this number with 8. The user could try twice.
If the first user input was 8 then print out “Correct!” and terminate the program, otherwise ask user to type in a number for the second time. If the second input was 8 then print out “Correct”, otherwise print “Game over!”
Finish the assembly code segment for the above requirement.
.data
message: .asciiz "Please enter a random number:"
right_str: .asciiz "Correct!\n"
wrong_str: .asciiz "Game over! \n"
.text
li $t0,8 # true answer
li $t1,0 #counter, two chances
loopcheck:
la $a0, message # ask user type in
li $v0, 4
syscall
li $v0, 5
syscall
move $s1, $v0 # s1 is the user input
…. # your answer here
…. # your answer here
printGameOver:
la $a0, wrong_str
li $v0, 4
syscall
j done
printright:
la $a0, right_str
li $v0, 4
syscall
done: #exit
li $v0, 10
syscall
In: Computer Science
Show that the number of triangulations of a regular n-gon is the same as the number of Catalan paths from (0,0) to (n−2, n−2).
A Catalan path is defined as the following:
we want to count the number of distinct paths from the point (0,0) to the point (n, n) subject to the following rules:
•We must stay inside the box [0, n]×[0, n].
•We move one step at a time, either moving one unit East or one unit North.
•We cannot visit the same point twice.
•The path must always stay at or below the line y = x.
In: Advanced Math
Is the number of tornadoes increasing? In the last homework, data on the number of tornadoes in the United States between 1953 and 2014 were analyzed to see if there was a linear trend over time. Some argue that it’s not the number of tornadoes increasing over time, but rather the probability of sighting them because there are more people living in the United States. Let’s investigate this by including the U.S. census count (in thousands) as an additional explanatory variable (data in EX11-24TWISTER.csv).
Perform a multiple regression using both year and census count as explanatory variables. Write down the fitted model. Are year and census count respectively significant in the MLR model?
|
Year |
Tornadoes |
Census |
|
1953 |
421 |
158956 |
|
1954 |
550 |
161884 |
|
1955 |
593 |
165069 |
|
1956 |
504 |
168088 |
|
1957 |
856 |
171187 |
|
1958 |
564 |
174149 |
|
1959 |
604 |
177135 |
|
1960 |
616 |
179979 |
|
1961 |
697 |
182992 |
|
1962 |
657 |
185771 |
|
1963 |
464 |
188483 |
|
1964 |
704 |
191141 |
|
1965 |
906 |
193526 |
|
1966 |
585 |
195576 |
|
1967 |
926 |
197457 |
|
1968 |
660 |
199399 |
|
1969 |
608 |
201385 |
|
1970 |
653 |
203984 |
|
1971 |
888 |
206827 |
|
1972 |
741 |
209284 |
|
1973 |
1102 |
211357 |
|
1974 |
947 |
213342 |
|
1975 |
920 |
215465 |
|
1976 |
835 |
217563 |
|
1977 |
852 |
219760 |
|
1978 |
788 |
222095 |
|
1979 |
852 |
224567 |
|
1980 |
866 |
227225 |
|
1981 |
783 |
229466 |
|
1982 |
1046 |
231664 |
|
1983 |
931 |
233792 |
|
1984 |
907 |
235825 |
|
1985 |
684 |
237924 |
|
1986 |
764 |
240133 |
|
1987 |
656 |
242289 |
|
1988 |
702 |
244499 |
|
1989 |
856 |
246819 |
|
1990 |
1133 |
249623 |
|
1991 |
1132 |
252981 |
|
1992 |
1298 |
256514 |
|
1993 |
1176 |
259919 |
|
1994 |
1082 |
263126 |
|
1995 |
1235 |
266278 |
|
1996 |
1173 |
269394 |
|
1997 |
1148 |
272647 |
|
1998 |
1449 |
275854 |
|
1999 |
1340 |
279040 |
|
2000 |
1075 |
282224 |
|
2001 |
1215 |
285318 |
|
2002 |
934 |
288369 |
|
2003 |
1374 |
290447 |
|
2004 |
1817 |
293191 |
|
2005 |
1265 |
295895 |
|
2006 |
1103 |
298754 |
|
2007 |
1096 |
301621 |
|
2008 |
1692 |
304059 |
|
2009 |
1156 |
308746 |
|
2010 |
1282 |
309347 |
|
2011 |
1691 |
311722 |
|
2012 |
938 |
314112 |
|
2013 |
907 |
316498 |
|
2014 |
888 |
318857 |
In: Statistics and Probability
In: Statistics and Probability