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
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 | 10 | 15 | 41 |
| Yearling | 10 | 9 | 14 | 33 |
| Adult | 32 | 24 | 36 | 92 |
| Column Total | 58 | 43 | 65 | 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
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?
binomialStudent's t chi-squareuniformnormal
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 > ?, we fail to reject the null hypothesis.Since the P-value > ?, we reject the null hypothesis. Since the P-value ? ?, we reject the null hypothesis.Since the P-value ? ?, 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 | 14 | 11 | 16 | 41 |
| Yearling | 11 | 10 | 12 | 33 |
| Adult | 34 | 27 | 31 | 92 |
| Column Total | 59 | 48 | 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 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?
normaluniform binomialchi-squareStudent'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 | 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
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