He Park Company owns 80% of the outstanding common stock of the Sea Company. Park is about to lease a machine with a 5-year life to the Sea Company. The lease would begin January 1, 20X3.
Required:
Explain the adjustments that will be required in the consolidation process if each of the following occurs.
In: Accounting
Problem 1
The
King Hotel
has 400 rooms. Each room rents for $62 per day and has a variable cost of $12 per day.
The hotel’s monthly fixed costs are $450,000.
(Assume that each month has 30 days.)
Required:
1.
Compute the breakeven point in rooms
rented.
2.
Compute the daily occupancy percentage that the hotel must have in order to break even.
3.
Compute the total number of rooms that must be paid for and occupied
per month
to earn a profit of
$100,000?
In: Accounting
Let x be a random variable that represents the weights
in kilograms (kg) of healthy adult female deer (does) in December
in a national park. Then x has a distribution that is
approximately normal with mean μ = 52.0 kg and standard
deviation σ = 9.0 kg. Suppose a doe that weighs less than
43 kg is considered undernourished.
(a) What is the probability that a single doe captured (weighed and
released) at random in December is undernourished? (Round your
answer to four decimal places.)
(b) If the park has about 2850 does, what number do you expect
to be undernourished in December? (Round your answer to the nearest
whole number.)
(c) To estimate the health of the December doe population, park rangers use the rule that the average weight of n = 80 does should be more than 49 kg. If the average weight is less than 49 kg, it is thought that the entire population of does might be undernourished. What is the probability that the average weight x for a random sample of 80 does is less than 49 kg (assuming a healthy population)? (Round your answer to four decimal places.)
(d) Compute the probability that
x < 53.1 kg for 80 does (assume a healthy population). (Round your answer to four decimal places.)
Suppose park rangers captured, weighed, and released 80 does in December, and the average weight was
x= 53.1 kg. Do you think the doe population is undernourished or not? Explain.
In: Statistics and Probability
Personnel in a luxury hotel readily offer advice and recommendations about services and area activities. Complete each sentence with the correct verb form, either the infinitive, present indicative, or present subjunctive, according to the context.
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In: Advanced Math
Firms pursuing a differentiation strategy primarily seek to:
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Keep their cost structures lower than that of the cost leader. |
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Reduce the value gap to gain a competitive advantage. |
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Provide products that are a direct imitation of the competitors’ products |
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Create higher customer perceived value that the value competitors create. Which of the following stages of the strategic management process involves an evaluation of a firm’s external and internal environments?
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In: Operations Management
The Carbondale Hospital is considering the purchase of a new ambulance. The decision will rest partly on the anticipated mileage to be driven next year. The miles driven during the past 5 years are as follows:
| Year | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| Mileage | 3,100 | 4,050 | 3.400 | 3,800 | 3,700 |
a) Using a 2-year moving average, the forecast for year 6 = _______ miles (round your response to one decimal place).
b) If a 2-year moving average is used to make the forecast, the MAD based on this = _______ miles
c) The forecast for year 6 using a weighted 2-year moving average with weights of 0.35 and 0.65 (the weight of 0.65 is for the most recent period) =_______ (round your response to the nearest whole number).
The MAD for the forecast developed using a weighted 2-year moving average with weights of 0.35 and 0.65= _______ miles
d) Using exponential smoothing with α = 0.40 and the forecast for year 1 being 3.100, the forecast for year 6 = _______ miles
In: Other
The Carbondale Hospital is considering the purchase of a new ambulance. The decision will rest partly on the anticipated mileage to be driven next year. The miles driven during the past 5 years are as follows:
| Year | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| Mileage | 3,050 | 3,950 | 3,500 | 3,850 | 3,700 |
a) Using a 2-year moving average, the forecast for year 6 = _______ miles (round your response to the nearest whole number)
b) If a 2 -year moving average is used to make the forecast, the MAD based on this = _______ miles.
c) The forecast for year 6 using a weighted 2-year moving average with weights of 0.35 and 0.65 (the weight of 0.65 is for the most recent period) =_______ miles (round your response to the nearest whole number)
The MAD for the forecast developed using a weighted 2-year moving average with weights of 0.35 and 0.65 = _______ miles (round your response to one decimal place). (Hint: You will have only 3 years of matched data.)
In: Accounting
10.A car manufacturer advertised that its new subcompact models
get 47 miles per gallon. Let ?? be the mean of mileage distribution
for these cars. You suspect that the mileage might be overrated and
selected 15 cars of the model; the sample mean mileage was 45.5
miles per gallon and the sample standard deviation of the 16 cars
was 2.5 miles per gallon. At 5% level of significance, test whether
there is significant evidence that mean miles per gallon is less
than 47 miles per gallon.
a)Details given in the problem:
b)Assumptions (if any):
c)Null, Alternate Hypotheses and the tail test?
H0:
H1:
Tail?
d)Find the Critical Statistic (Table value) and Illustrate:
Critical Statistic:
e)State and Compute Test Statistic:
f)Compute p-value:
g)Conclusion using critical method:
h)Conclusion using p-value method:
In: Statistics and Probability
Following are the number of miles traveled for 30 randomly selected business flights within the United States during 1999.
1095, 925, 1656, 1605, 1503, 1928, 2030, 1418, 500, 1248,
2047, 1027, 1962, 1027, 1197, 1928, 874, 1367, 1129, 1401,
874, 602, 1503, 1469, 636, 1503, 925, 1384, 874, 704
a) Use the data to obtain a point estimate for the population
mean number of miles traveled per business flight, μ, in
1999.
Note: The sum of the data is 38341.
b) Determine a 95.44% confidence interval for the population mean number of miles traveled per business flight in 1999. Assume that σ=450 miles. Confidence interval: ( , ).
c) Must the number of miles traveled per business flight in 1999 be exactly normally distributed for the confidence interval that you obtained in part (b) to be approximately correct?
d) What theorem helped you answer part (c)?
In: Math
1.Find the population mean or sample mean as indicated. Population: 7, 8,18,19,13. The population mean is? (type an integer or decimal rounded to three decimal places as needed) .Find the sample standard deviation.
4, 58, 11, 49, 37, 23, 30, 27, 30, 29
S= ? ( round to one decimal place as needed)
4.An insurance company crashed four cars in succession at 5
miles per hour. The cost of repair for each of the four crashes was
$430, $457, $418, $233. Compute the range, sample
variance, and sample standard deviation cost of repair.
The range is $?
s2=?
(Round to the nearest whole number as needed.)
s=$?
(Round to two decimal places as needed.)
7. Esther and George want to make trail mix.trail mix. In order to get the right balance of ingredients for their tastes they bought 4 pounds of raisins at $ 3.41 per pound, 2 pounds of peanuts for $4.95 per pound, 2 pounds of chocolate chips for $ 3.59$3.59 per pound. Determine the cost per pound of the trail mix. The cost per pound of the trail mix is?( Round to the nearest cent)
13.For the data set below,
(a) Determine the least-squares regression line.
(b) Graph the least-squares regression line on the scatter
diagram.
x 5 6 7 8 10
y 8 10 10 14 19
(a) Determine the least-squares regression line.
y= ? x+? (Round to four decimal places as needed.)
14.An engineer wants to determine how the weight of a car, x,
affects gas mileage, y. The following data represent the weights
of various cars and their miles per gallon.
Car: A, B,C,D,E
Weight (pounds), x 2530, 3105, 3440, 3755, 4050
Miles per Gallon, y 27.9, 23.3, 24.5, 18.3, 19.4
(a) Find the least-squares regression line treating weight as
the explanatory variable and miles per gallon as the response
variable.
Write the equation for the least-squares regression line.
y=?x+?
(Round the x coefficient to five decimal places as needed)
(b) Interpret the slope and intercept, if appropriate.
Choose the best interpretation for the slope.
A.The slope indicates the ratio between the mean weight and the
mean miles per gallon.
B.The slope indicates the mean miles per gallon.
C.The slope indicates the mean weight.
D.The slope indicates the mean change in miles per gallon for an
increase of 1 pound in weight.
E.It is not appropriate to interpret the slope because it is not
equal to zero.
Choose the best interpretation for the y-intercept.
A.The y-intercept indicates the miles per gallon of the lightest
car in the population.
B.The y-intercept indicates the miles per gallon for a new
car.
C.The y-intercept indicates the mean miles per gallon for a car
that weighs 0 pounds.
D.The y-intercept indicates the mean miles for a car that weighs 0
pounds.
E.It is not appropriate to interpret the y-intercept because it
does not make sense to talk about a car that weighs 0 pounds.
(c) Predict the miles per gallon of car D and compute the residual.
Is the miles per gallon of this car above average or below average
for cars of this weight?
A.It is aboveabove average.
B.It is belowbelow average.
The predicted value is ? miles per gallon( Round to two decimal places as needed)
The residual is ? miles per gallon(Round to two decimal places as needed)
In: Math