Two car types underwent fuel efficiency tests. The table below summarizes the descriptive statistics generated from two samples of independent cars. Assume that both samples are from normal distributions with equal population variance: ? 1 ~?(? 1 , ? 2 ) and ? 2 ~?(? 2 , ? 2 ).
|
Car type |
Notation |
Sample size |
Mean (miles per gallon) |
Standard deviation (miles per gallon) |
|
1 |
?1 |
9 |
20 |
6.4 |
|
2 |
?2 |
9 |
30 |
6.1 |
a) Is there sufficient evidence to claim that the first type of car runs on average below 25 miles per gallon (? 0 : ? 1 = 25 versus ? 1 : ? 1 < 25)? Conduct the test using p-value with
? = 0.1.
b) Find if ? for the test in part (a) is greater than or less than 0.1 when the true ? 1 = 20.
c) Can we claim that the two types of cars have the same fuel efficiency (? 0 : ? 1 = ?2 versus ? 1 : ? 1 ≠ ? 2 )? Conduct the test using p-value with ? = 0.05.
d) Can we claim that the first type is less fuel efficient than the second (? 0 : ? 1 = ? 2 versus ? 1 : ? 1 < ? 2 )? Conduct the test using critical region with ? = 0.05.
In: Statistics and Probability
A local cleaning service has identified 4 activities that drive its costs. The service uses activity-based costing to estimate the costs of jobs prior to pricing them. They clean both commercial and residential properties. They have the following budgets for the upcoming year:
|
Cost Type |
Budgeted Cost for Both Commercial & Residential Properties |
Driver |
Expected Driver Activity for Commercial Properties |
Expected Driver Activity for Residential Properties |
|
Cleaning Personnel |
$120,000 |
# of Properties to Clean |
600 properties to clean |
900 properties to clean |
|
Travel to Jobs |
$30,000 |
Miles Driven to/from Property |
30,000 miles (round-trip) |
10,000 miles (round-trip) |
|
Cleaning Equipment |
$40,000 |
Hours to Clean a Property |
24,000 hours |
16,000 hours |
|
Cleaning Supplies |
$60,000 |
Square Feet of Property |
360,000 square feet |
240,000 square feet |
A residential customer has called and would like price quote to have his property cleaned next week. The property is a 20 mile round-trip to/from the cleaning personnel. It should take about 4 hours to clean it and the house is 1,000 square feet.
What would you recommend the price quote be to this customer? Support your answer with clear calculations of your cost estimate and about your pricing strategy.
In: Accounting
Two car types underwent fuel efficiency tests. The table below summarizes the descriptive statistics generated from two samples of independent cars. Assume that both samples are from normal distributions with equal population variance: ? 1 ~?(? 1 , ? 2 ) and ? 2 ~?(? 2 , ? 2 ).
|
Car type |
Notation |
Sample size |
Mean (miles per gallon) |
Standard deviation (miles per gallon) |
|
1 |
?1 |
9 |
20 |
6.4 |
|
2 |
?2 |
9 |
30 |
6.1 |
a) Is there sufficient evidence to claim that the first type of car runs on average below 25 miles per gallon (? 0 : ? 1 = 25 versus ? 1 : ? 1 < 25)? Conduct the test using p-value with
? = 0.1.
b) Find if ? for the test in part (a) is greater than or less than 0.1 when the true ? 1 = 20.
c) Can we claim that the two types of cars have the same fuel efficiency (? 0 : ? 1 = ?2 versus ? 1 : ? 1 ≠ ? 2 )? Conduct the test using p-value with ? = 0.05.
d) Can we claim that the first type is less fuel efficient than the second (? 0 : ? 1 = ? 2 versus ? 1 : ? 1 < ? 2 )? Conduct the test using critical region with ? = 0.05.
In: Statistics and Probability
The Shelby District Electric Company, headquartered in Joplin, Missouri, provides electric services and also distributes natural gas to customers primarily in the state Missouri, Kansas, Oklahoma, and Arkansas. A devastating tornado with winds exceeding 200 miles per hour hit Joplin on May 22, 2011 killing over 160 people. Property damage was extensive with a path of destruction of 13 miles long and up to three-fourths of a mile wide. For Shelby district, 4,000 power poles and 100 miles of electric lines were down; six substations were damaged leaving approximately 20,000 customer without power. The company suspended its dividend in the face of storm costs that might reach $30 million. The following summary financial items are taken from the financial statements for the year ending December 31, 2011 (dollars in thousands).
| Total assets | 7,264,000 |
| Current Liabilities | 1,024,000 |
| Shareholder's equity | 1,848,000 |
| Interest expense | 200,000 |
| pretax income | 256,000 |
Compute the following four ratios. In one sentence per ration, explain what it tells you about Shelby District,
1. Deb-to-equity
2. Long-term-debt-to-total-capital
3. Debt to total assets
4. Interest-coverage ratio
In: Accounting
home / study / business / accounting / accounting questions and answers / iverson company purchased a delivery truck for $45,000 on january 1, 2015. the truck was assigned ... Your question needs more information to be answered. A Chegg Expert needs more info to provide you with the best answer. See comments below. Question: Iverson Company purchased a delivery truck for $45,000 on January 1, 2015. The truck was assigned... Edit question Iverson Company purchased a delivery truck for $45,000 on January 1, 2015. The truck was assigned an estimated useful life of 5 years and has a residual value of $10,000 and the truck was assigned an estimated useful life of 100,000 miles. Using the attached Excel File, compute and label each type of depreciation expense under following independent methods. Straight line method for years 2015 and 2016. Assume you disposed of the asset on July 1, 2017 and no cash was received. Calculate the gain or loss for this disposal as of that date.
Double Declining Balance method for years 2015, 2016, and 2017. What is the book value of the truck as of December 31, 2017?
The truck was driven 18,000 miles in 2015 and 22,000 miles in 2016. Compute depreciation expense using the units-of-activity method for the years 2015 and 2016
In: Accounting
Let X denote a random variable that follows a binomial distribution with parameters n=5, p=0.3, and Y denote a random variable that has a Poisson distribution with parameter λ = 6. Additionally, assume that X and Y are independent random variables.
(a) What are the possible values for (X, Y ) pairs.
(b) Derive the joint probability distribution function for X and Y. Make sure to explain your steps.
(c) Using the joint pdf function of X and Y, form the summation /integration (whichever is relevant) that gives the expected value for X4 + Y + 7.
(d) Using the joint pdf function of X and Y, set up the summation /integration (whichever is relevant) that gives the expected value for X, and COMPUTE its value.
In: Statistics and Probability
Direct materials: 0.3 metres @ $15 = $4.50
Direct labour: 0.5 hour @ $20 = $10
The following actual results were recorded for the period:
Direct materials: 3500 metres purchased and used; total cost $53,900
Direct labour: 5000 hours; total labour cost $105,000
Production = 12,000 units
Compute the materials price and usage variances, and the labour rate and
efficiency variances, for your company.
In: Accounting
Based on the standard analytical practice during a titration of taking pH-volume measurements every 0.3 pH units, how many measurements should you take between the addition of 5 mL and 7.5 mL of titrant, (a) in the titration of a 10-mL aliquot of standard 0.1500 M TRIS base (pKb = 1.2 X 10-6) (in beaker) with 0.1000 M HCl (in buret). (b) in the titration of a 10-mL aliquot of 0.1500 M NaOH (in buert) with standard 0.1000 M HCl (in buret).
Hints: To solve these questions, it may be helpful to draw a diagram of the titration set up. Before starting, reason out whether the pH will increase or decrease with the addition of titrant. You need to calculate the pH at the 5 and 7.5 mL points in each of the two titrations. Because HCl and NaOH are a strong acid and base respectively, they dissociate completely and the pH of the solution is dependent only on the excess acid or base in the beaker at that point in the titration.
In: Chemistry
Let X denote a random variable that follows a binomial distribution with parameters n=5, p=0.3, and Y denote a random variable that has a Poisson distribution with parameter λ = 6. Additionally, assume that X and Y are independent random variables.
What are the possible values for (X, Y ) pairs.
Derive the joint probability distribution function for X and Y. Make sure to explain your steps.
Using the joint pdf function of X and Y, form the summation /integration (whichever is relevant) that gives the expected value for X4 + Y + 7.
Using the joint pdf function of X and Y, set up the summation /integration (whichever is relevant) that gives the expected value for X, and COMPUTE its value.
In: Statistics and Probability
Let X denote a random variable that follows a binomial distribution with parameters n=5, p=0.3, and Y denote a random variable that has a Poisson distribution with parameter λ = 6. Additionally, assume that X and Y are independent random variables.
What are the possible values for (X, Y ) pairs.
Derive the joint probability distribution function for X and Y. Make sure to explain your steps.
Using the joint pdf function of X and Y, form the summation /integration (whichever is relevant) that gives the expected value for X^4 + Y + 7.
Using the joint pdf function of X and Y, set up the summation /integration (whichever is relevant) that gives the expected value for X, and COMPUTE its value.
In: Statistics and Probability