The following table shows age distribution and location of a random sample of 166 buffalo in a national park.
| Age | Lamar District | Nez Perce District | Firehole District | Row Total |
| Calf | 16 | 14 | 11 | 41 |
| Yearling | 10 | 12 | 11 | 33 |
| Adult | 35 | 32 | 25 | 92 |
| Column Total | 61 | 58 | 47 | 166 |
Use a chi-square test to determine if age distribution and location are independent at the 0.05 level of significance.
(a) What is the level of significance?
State the null and alternate hypotheses.
H0: Age distribution and location are
independent.
H1: Age distribution and location are
independent.H0: Age distribution and location
are independent.
H1: Age distribution and location are not
independent. H0:
Age distribution and location are not independent.
H1: Age distribution and location are not
independent.H0: Age distribution and location
are not independent.
H1: Age distribution and location are
independent.
(b) Find the value of the chi-square statistic for the sample.
(Round the expected frequencies to at least three decimal places.
Round the test statistic to three decimal places.)
Are all the expected frequencies greater than 5?
YesNo
What sampling distribution will you use?
chi-squarenormal binomialuniformStudent's t
What are the degrees of freedom?
(c) Find or estimate the P-value of the sample test
statistic. (Round your answer to three decimal places.)
p-value > 0.1000.050 < p-value < 0.100 0.025 < p-value < 0.0500.010 < p-value < 0.0250.005 < p-value < 0.010p-value < 0.005
(d) Based on your answers in parts (a) to (c), will you reject or
fail to reject the null hypothesis of independence?
Since the P-value > α, we fail to reject the null hypothesis.Since the P-value > α, we reject the null hypothesis. Since the P-value ≤ α, we reject the null hypothesis.Since the P-value ≤ α, we fail to reject the null hypothesis.
(e) Interpret your conclusion in the context of the
application.
At the 5% level of significance, there is sufficient evidence to conclude that age distribution and location are not independent.
At the 5% level of significance, there is insufficient evidence to conclude that age distribution and location are not independent.
In: Statistics and Probability
The following table shows age distribution and location of a random sample of 166 buffalo in a national park.
| Age | Lamar District | Nez Perce District | Firehole District | Row Total |
| Calf | 15 | 9 | 17 | 41 |
| Yearling | 10 | 8 | 15 | 33 |
| Adult | 31 | 24 | 37 | 92 |
| Column Total | 56 | 41 | 69 | 166 |
Use a chi-square test to determine if age distribution and location are independent at the 0.05 level of significance.
(a) What is the level of significance?
State the null and alternate hypotheses.
H0: Age distribution and location are
independent.
H1: Age distribution and location are
independent.H0: Age distribution and location
are not independent.
H1: Age distribution and location are
independent. H0: Age
distribution and location are independent.
H1: Age distribution and location are not
independent.H0: Age distribution and location
are not independent.
H1: Age distribution and location are not
independent.
(b) Find the value of the chi-square statistic for the sample.
(Round the expected frequencies to at least three decimal places.
Round the test statistic to three decimal places.)
Are all the expected frequencies greater than 5?
YesNo
What sampling distribution will you use?
uniformchi-square normalbinomialStudent's t
What are the degrees of freedom?
(c) Find or estimate the P-value of the sample test
statistic. (Round your answer to three decimal places.)
p-value > 0.1000.050 < p-value < 0.100 0.025 < p-value < 0.0500.010 < p-value < 0.0250.005 < p-value < 0.010p-value < 0.005
(d) Based on your answers in parts (a) to (c), will you reject or
fail to reject the null hypothesis of independence?
Since the P-value > α, we fail to reject the null hypothesis.Since the P-value > α, we reject the null hypothesis. Since the P-value ≤ α, we reject the null hypothesis.Since the P-value ≤ α, we fail to reject the null hypothesis.
(e) Interpret your conclusion in the context of the
application.
At the 5% level of significance, there is sufficient evidence to conclude that age distribution and location are not independent.At the 5% level of significance, there is insufficient evidence to conclude that age distribution and location are not independent.
In: Statistics and Probability
The following table shows age distribution and location of a random sample of 166 buffalo in a national park.
| Age | Lamar District | Nez Perce District | Firehole District | Row Total |
| Calf | 15 | 12 | 14 | 41 |
| Yearling | 13 | 11 | 9 | 33 |
| Adult | 31 | 28 | 33 | 92 |
| Column Total | 59 | 51 | 56 | 166 |
Use a chi-square test to determine if age distribution and location are independent at the 0.05 level of significance.
(a) What is the level of significance?
State the null and alternate hypotheses.
H0: Age distribution and location are not
independent.
H1: Age distribution and location are not
independent.H0: Age distribution and location
are independent.
H1: Age distribution and location are not
independent. H0: Age
distribution and location are not independent.
H1: Age distribution and location are
independent.H0: Age distribution and location
are independent.
H1: Age distribution and location are
independent.
(b) Find the value of the chi-square statistic for the sample.
(Round the expected frequencies to at least three decimal places.
Round the test statistic to three decimal places.)
Are all the expected frequencies greater than 5?
YesNo
What sampling distribution will you use?
binomialchi-square uniformnormalStudent's t
What are the degrees of freedom?
(c) Find or estimate the P-value of the sample test
statistic. (Round your answer to three decimal places.)
p-value > 0.1000.050 < p-value < 0.100 0.025 < p-value < 0.0500.010 < p-value < 0.0250.005 < p-value < 0.010p-value < 0.005
(d) Based on your answers in parts (a) to (c), will you reject or
fail to reject the null hypothesis of independence?
Since the P-value > α, we fail to reject the null hypothesis.Since the P-value > α, we reject the null hypothesis. Since the P-value ≤ α, we reject the null hypothesis.Since the P-value ≤ α, we fail to reject the null hypothesis.
(e) Interpret your conclusion in the context of the
application.
At the 5% level of significance, there is sufficient evidence to conclude that age distribution and location are not independent.At the 5% level of significance, there is insufficient evidence to conclude that age distribution and location are not independent.
In: Statistics and Probability
The following table shows age distribution and location of a random sample of 166 buffalo in a national park.
| Age | Lamar District | Nez Perce District | Firehole District | Row Total |
| Calf | 15 | 13 | 13 | 41 |
| Yearling | 12 | 8 | 13 | 33 |
| Adult | 31 | 26 | 35 | 92 |
| Column Total | 58 | 47 | 61 | 166 |
Use a chi-square test to determine if age distribution and location are independent at the 0.05 level of significance.
(a) What is the level of significance?
State the null and alternate hypotheses.
H0: Age distribution and location are not
independent.
H1: Age distribution and location are not
independent.H0: Age distribution and location
are independent.
H1: Age distribution and location are not
independent. H0: Age
distribution and location are not independent.
H1: Age distribution and location are
independent.H0: Age distribution and location
are independent.
H1: Age distribution and location are
independent.
(b) Find the value of the chi-square statistic for the sample.
(Round the expected frequencies to at least three decimal places.
Round the test statistic to three decimal places.)
Are all the expected frequencies greater than 5?
YesNo
What sampling distribution will you use?
Student's tbinomial normalchi-squareuniform
What are the degrees of freedom?
(c) Find or estimate the P-value of the sample test
statistic. (Round your answer to three decimal places.)
p-value > 0.1000.050 < p-value < 0.100 0.025 < p-value < 0.0500.010 < p-value < 0.0250.005 < p-value < 0.010p-value < 0.005
(d) Based on your answers in parts (a) to (c), will you reject or
fail to reject the null hypothesis of independence?
Since the P-value > α, we fail to reject the null hypothesis.Since the P-value > α, we reject the null hypothesis. Since the P-value ≤ α, we reject the null hypothesis.Since the P-value ≤ α, we fail to reject the null hypothesis.
(e) Interpret your conclusion in the context of the
application.
At the 5% level of significance, there is sufficient evidence to conclude that age distribution and location are not independent.At the 5% level of significance, there is insufficient evidence to conclude that age distribution and location are not independent.
In: Math
The following table shows age distribution and location of a random sample of 166 buffalo in a national park.
| Age | Lamar District | Nez Perce District | Firehole District | Row Total |
| Calf | 14 | 14 | 13 | 41 |
| Yearling | 12 | 9 | 12 | 33 |
| Adult | 30 | 28 | 34 | 92 |
| Column Total | 56 | 51 | 59 | 166 |
Use a chi-square test to determine if age distribution and location are independent at the 0.05 level of significance.
(a) What is the level of significance?
State the null and alternate hypotheses.
H0: Age distribution and location are not
independent.
H1: Age distribution and location are not
independent.H0: Age distribution and location
are independent.
H1: Age distribution and location are
independent. H0: Age
distribution and location are not independent.
H1: Age distribution and location are
independent.H0: Age distribution and location
are independent.
H1: Age distribution and location are not
independent.
(b) Find the value of the chi-square statistic for the sample.
(Round the expected frequencies to at least three decimal places.
Round the test statistic to three decimal places.)
Are all the expected frequencies greater than 5?
YesNo
What sampling distribution will you use?
uniformchi-square normalStudent's tbinomial
What are the degrees of freedom?
(c) Find or estimate the P-value of the sample test
statistic. (Round your answer to three decimal places.)
p-value > 0.1000.050 < p-value < 0.100 0.025 < p-value < 0.0500.010 < p-value < 0.0250.005 < p-value < 0.010p-value < 0.005
(d) Based on your answers in parts (a) to (c), will you reject or
fail to reject the null hypothesis of independence?
Since the P-value > α, we fail to reject the null hypothesis.Since the P-value > α, we reject the null hypothesis. Since the P-value ≤ α, we reject the null hypothesis.Since the P-value ≤ α, we fail to reject the null hypothesis.
(e) Interpret your conclusion in the context of the
application.
At the 5% level of significance, there is sufficient evidence to conclude that age distribution and location are not independent.At the 5% level of significance, there is insufficient evidence to conclude that age distribution and location are not independent.
In: Math
Please answer all, thank you.
In: Economics
The Savage Garden Company uses normal costing in its job-order cost system. The predetermined overhead rate is 3 times the direct labor cost. Job 70 was completed during 2019. This job was charged $4,000 for direct materials, $2,000 for direct labor, and $6,000 for allocated overhead. The job consisted of 10 units. After the job was completed, but before it was sent to Finished Goods, it was determined that 2 of these units were spoiled.
If the 2 bad units are considered to be abnormal spoilage and thrown away, how many total dollars for Job 70 would be transferred to Finished Goods (this is TOTAL dollars, not per unit).
Group of answer choices
$12,000
$10,800
$9,600
None of these answers are correct.
Refer to question 8. Now assume that the spoilage is still considered to be abnormal, but that the 2 units are sold for $200 each instead of being thrown away. The total dollars transferred to Finished Goods for Job 70 would now be
Group of answer choices
lower than your answer in the previous question.
the same as your answer in the previous question.
higher than your answer in the previous questions
Now assume that the 2 spoiled units are considered to be normal specific spoilage. Compute the COST PER UNIT of each good unit transferred to Finished Goods.
Group of answer choices
None of these answers are correct.
$1,080 per unit
$960 per unit
$1,200 per unit
$1,500 per unit
Refer to the previous question. The 2 spoiled units are still considered to be normal specific spoilage, but instead of throwing them away, the company sells each unit for $200. The COST PER UNIT of each good unit transferred to Finished Goods would be
Group of answer choices
larger than your answer in the previous question.
smaller than your answer in the previous question.
the same as your answer in the previous question.
Now assume that the 2 spoiled units are going to be treated as normal generic spoilage. What account would be debited to recognize the spoilage?
Group of answer choices
Overhead Allocated
Finished Goods Control
Work in Process Control
Overhead Control
Still referring to question 8 and Job 70, now the company fixes the bad units. The cost to rework the units is $50 per unit for direct materials and $100 per unit for direct labor. What account would be debited to recognize the total cost to fix (rework) the two units?
Group of answer choices
Overhead Allocated
Loss from Abnormal Rework
Work in Process Control
Finished Goods Control
Overhead Control
Refer to the previous question. What would be the total amount of the debit to recognize the total rework cost?
Group of answer choices
$300
$750
None of these answers are correct.
$900
$600
A company has no beginning Finished Goods. During the year, the company produces 10,000 units and sells 9,000 units. During the year, the company incurs a cost of $200,000 (among all of its other costs). If the company's manager wanted to maximize income during the current year, the manager would want the cost to be treated as
Group of answer choices
a product cost
a period expense
Refer to the previous question. What would be the DIFFERENCE in net operating income for the year by treating the $200,000 as a product cost vs. treating it as a period expense? Do NOT put a dollar sign in your answer.
In: Accounting
Hearty Soup Co. uses a process cost system to record the costs of processing soup, which requires the cooking and filling processes. Materials are entered from the cooking process at the beginning of the filling process. The inventory of Work in Process—Filling on April 1 and debits to the account during April were as follows:
| Bal., 400 units, 80% completed: | ||
| Direct materials (400 x $3.60) | $ 1,440 | |
| Conversion (400 x 80% x $1.50) | 480 | |
| $ 1,920 | ||
| From Cooking Department, 8,800 units | $32,560 | |
| Direct labor | 8,580 | |
| Factory overhead | 4,620 | |
During April, 400 units in process on April 1 were completed, and of the 8,800 units entering the department, all were completed except 900 units that were 30% completed. Charges to Work in Process—Filling for May were as follows:
| From Cooking Department, 10,100 units | $39,390 |
| Direct labor | 11,530 |
| Factory overhead | 6,201 |
During May, the units in process at the beginning of the month were completed, and of the 10,100 units entering the department, all were completed except 500 units that were 40% completed
1. Enter the balance as of April 1 in a four-column account for Work in Process—Filling. Record the debits and credits in the account for April. Construct a cost of production report and present computations for determining (a) equivalent units of production for materials and conversion; (b) cost per equivalent unit; (c) cost of goods finished, differentiating between units started in the prior period and units started and finished in April; and (d) work in process inventory. If an amount box does not require an entry, leave it blank.
| ACCOUNT | Work in Process-Filling Department | ACCOUNT NO. | ||||
|---|---|---|---|---|---|---|
| BALANCE | ||||||
| DATE | ITEM | POST. REF. | DEBIT | CREDIT | DEBIT | CREDIT |
| Apr. 1 | Bal., 400 units, 80% completed | |||||
| 30 | Cooking Dept., 8,800 units at $3.70 | |||||
| 30 | Direct labor | |||||
| 30 | Factory overhead | |||||
| 30 | Finished goods | |||||
| 30 | Bal., 900 units, 30% completed | |||||
If an amount is zero, enter in a zero "0". Round cost per unit answers to the nearest cent.
| Hearty Soup Co. Cost of Production Report-Filling Department For the Month Ended April 30 |
|||
|---|---|---|---|
| Whole Units | Equivalent Units | ||
| Units | Direct Materials (a) | Conversion (a) | |
| Units charged to production: | |||
| Inventory in process, April 1 | |||
| Received from Cooking Department | |||
| Total units accounted for by the Filling Department | |||
| Units to be assigned costs: | |||
| Inventory in process, April 1 | |||
| Started and completed in April | |||
| Transferred to finished goods in April | |||
| Inventory in process, April 30 | |||
| Total units to be assigned costs | |||
| Costs | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Costs | Direct Materials | Conversion | Total | |||||||||
| Costs per equivalent unit: | ||||||||||||
| Total costs for April in Filling Department | $ | $ | ||||||||||
| Total equivalent units | ||||||||||||
| Cost per equivalent unit (b) | $ | $ | ||||||||||
| Costs charged to production: | ||||||||||||
| Inventory in process, April 1 | $ | |||||||||||
| Costs incurred in April | ||||||||||||
| Total costs accounted for by the Filling Department | $ | |||||||||||
| Cost allocated to completed and partially completed units: | ||||||||||||
| Inventory in process, April 1 balance (c) | $ | |||||||||||
| To complete inventory in process, April 1 (c) | $ | $ | ||||||||||
| Cost of completed April 1 work in process | $ | |||||||||||
| Started and completed in April (c) | ||||||||||||
| Transferred to finished goods in April (c) | $ | |||||||||||
| Inventory in process, April 30 (d) | ||||||||||||
| Total costs assigned by the Filling Department | $ | |||||||||||
In: Accounting
Question 1.
The following data is from the accounting records of Padcore Ltd. for the year just ended:
|
Administrative expenses |
64,000 |
|
Administrative salaries |
110,000 |
|
Depreciation, factory |
25,000 |
|
Depreciation, office equipment |
8,000 |
|
Direct labour |
400,000 |
|
Factory equipment maintenance |
15,000 |
|
Factory supervisor's salary |
80,000 |
|
Insurance, factory |
22,000 |
|
Raw materials purchased |
260,000 |
|
Sales |
1,700,000 |
|
Sales salaries and commissions |
120,000 |
|
Selling expenses |
40,000 |
|
Supplies, factory |
9,000 |
|
Utilities, factory |
12,000 |
|
Beginning of |
End of |
|||
|
the Year |
the Year |
|||
|
Raw Materials |
20,000 |
35,000 |
||
|
Work in process |
40,000 |
30,000 |
||
|
Finished goods |
65,000 |
40,000 |
Calculate the cost of goods manufactured, cost of goods sold and net income for the year just ended:
Question 2.
Waldorf Corporation had the following overhead costs for the previous year (Waldorf allocates overhead on the basis of direct labour hours):
|
Labour hours |
Total Overhead |
|||
|
1st Quarter |
7,000 |
$ 75,000 |
||
|
2nd Quarter |
6,000 |
$ 74,000 |
||
|
3rd Quarter |
8,000 |
$ 77,000 |
||
|
4th Quarter |
7,500 |
$ 76,000 |
Assume that total overhead is comprised of Indirect materials (a variable cost), Rent (a fixed cost) and Maintenance (a mixed cost). The breakdown of these three costs at the 6,000 labour hour level is as follows:
|
Indirect materials (V) |
$ 3,600 |
|
|
Rent (F) |
35,000 |
|
|
Maintenance (M) |
35,400 |
|
|
$ 74,000 |
Determine how much of the total overhead at the 8,000 direct labour hour is maintenance. Using the amount just determined and the high low method, estimate a cost formula for maintenance. Determine what the cost formula for total overhead would be and estimate what total overhead costs would be at the 10,000 direct labour hour level.
Question 2A
Question 3.
The income statement for Big Franks Bicycle Emporium for the month just ended is as follows:
|
Sales |
300,000 |
|||
|
Cost of goods sold |
140,000 |
|||
|
Gross margin |
160,000 |
|||
|
Less operating expenses |
||||
|
Selling expenses |
40,000 |
|||
|
Depreciation |
25,000 |
|||
|
Admin expenses |
65,000 |
|||
|
Total operating expenses |
130,000 |
|||
|
Net income |
30,000 |
|||
Additional information:
· On average Frank sells his bikes for $300 each
· The sales department has variable expenses of $12 per bike sold
· Depreciation expense is unaffected by changes in the sales level
· Admin costs are 70% fixed and 30% variable
Prepare an income statement for the month just ended using the contribution margin approach.
Question 4.
Wyatt Enterprises manufactures and sells a single product. The company’s sales and expenses for the month just ended are as follows:
|
Total |
Per Unit |
||
|
Sales |
$ 190,000 |
$ 50 |
|
|
Less variable expenses |
114,000 |
30 |
|
|
Contribution margin |
76,000 |
$ 20 |
|
|
less fixed expenses |
60,000 |
||
|
Net income |
$ 16,000 |
Determine the break-even point in terms of both units and dollars. How many units would need to be sold in a month to achieve a target profit of $25,000? What is Wyatt’s margin of safety in both dollars and as a percentage?
Question 5.
The Happy Cardiologist Ltd. manufactures and sells pacemakers for $3,400 each. Cost information for March was as follows:
|
Variable manufacturing costs per unit |
$ 1,650 |
|
Variable selling costs per unit |
150 |
|
Fixed manufacturing costs |
290,000 |
|
Fixed admin costs |
825,000 |
In March, the company sold 750 pacemakers.
Calculate the margin of safety in both dollars and as a percentage. Compute the company’s degree of operating leverage. If sales increase by 20%, by how much will net income increase?
In: Accounting
Work in Process Account Data for Two Months; Cost of Production Reports
Pittsburgh Aluminum Company uses a process cost system to record
the costs of manufacturing rolled aluminum, which consists of the
smelting and rolling processes. Materials are entered from smelting
at the beginning of the rolling process. The inventory of Work in
Process—Rolling on September 1 and debits to the account during
September were as follows:
| Bal., 2,600 units, ¼ completed: | ||
| Direct materials (2,600 x $15.50) | $40,300 | |
| Conversion (2,600 x ¼ x $8.50) | 5,525 | |
| $45,825 | ||
| From Smelting Department, 28,900 units | $462,400 | |
| Direct labor | 158,920 | |
| Factory overhead | 101,402 | |
During September, 2,600 units in process on September 1 were completed, and of the 28,900 units entering the department, all were completed except 2,900 units that were 4/5 completed.
Charges to Work in Process—Rolling for October were as
follows:
| From Smelting Department, 31,000 units | $511,500 |
| Direct labor | 162,850 |
| Factory overhead | 104,494 |
During October, the units in process at the beginning of the month were completed, and of the 31,000 units entering the department, all were completed except 2,000 units that were 2/5 completed.
Required:
1. Enter the balance as of September 1 in a four-column account for Work in Process—Rolling. Record the debits and the credits in the account for September. Construct a cost of production report and present computations for determining (a) equivalent units of production for materials and conversion, (b) costs per equivalent unit, (c) cost of goods finished, differentiating between units started in the prior period and units started and finished in September, and (d) work in process inventory. If an amount box does not require an entry, leave it blank.
| ACCOUNT | Work in Process-Rolling Department | ACCOUNT NO. | ||||
|---|---|---|---|---|---|---|
| BALANCE | ||||||
| DATE | ITEM | POST. REF. | DEBIT | CREDIT | DEBIT | CREDIT |
| Sept. 1 | Bal., 2,600 units, 1/4 completed | |||||
| Sept. 30 | Smelting Dept., 28,900 units at $16.00/unit | |||||
| Sept. 30 | Direct labor | |||||
| Sept. 30 | Factory overhead | |||||
| Sept. 30 | Finished goods | |||||
| Sept. 30 | Bal., 2,900 units, 4/5 completed | |||||
If an amount is zero, enter in a zero "0". Round cost per unit answers to the nearest cent.
| Pittsburgh Aluminum Company Cost of Production Report-Rolling Department For the Month Ended September 30 |
|||
|---|---|---|---|
| Whole Units | Equivalent Units | ||
| Units | Direct Materials (a) | Conversion (a) | |
| Units charged to production: | |||
| Inventory in process, September 1 | |||
| Received from Smelting Department | |||
| Total units accounted for by the Rolling Department | |||
| Units to be assigned costs: | |||
| Inventory in process, September 1 | |||
| Started and completed in September | |||
| Transferred to finished goods in September | |||
| Inventory in process, September 30 | |||
| Total units to be assigned costs | |||
| Costs | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Costs | Direct Materials | Conversion | Total Costs | |||||||||
| Cost per equivalent unit: | ||||||||||||
| Total costs for September in Rolling Department | $ | $ | ||||||||||
| Total equivalent units | ||||||||||||
| Cost per equivalent unit (b) | $ | $ | ||||||||||
| Costs assigned to production: | ||||||||||||
| Inventory in process, September 1 | $ | |||||||||||
| Costs incurred in September | ||||||||||||
| Total costs accounted for by the Rolling Department | $ | |||||||||||
| Costs allocated to completed and partially completed units: | ||||||||||||
| Inventory in process, September 1 balance (c) | $ | |||||||||||
| To complete inventory in process, September 1 (c) | $ | $ | ||||||||||
| Cost of completed September 1 work in process | $ | |||||||||||
| Started and completed in September (c) | ||||||||||||
| Transferred to finished goods in September (c) | $ | |||||||||||
| Inventory in process, September 30 (d) | ||||||||||||
| Total costs assigned by the Rolling Department | $ | |||||||||||
In: Accounting