In: Operations Management
15.
Kevin company manufactures and sells one product. The following information pertains to the company's first year of operations:
|
Selling price per unit |
$100 |
|
Variable costs per unit: |
|
| Manufacturing: | |
|
Direct materials |
$8 |
|
Direct labor |
$20 |
|
Variable manufacturing overhead |
$11 |
|
Variable selling and administrative expense |
$18 |
|
Fixed costs per year: |
|
|
Fixed manufacturing overhead |
$48,000 |
|
Selling and administrative expense |
$72,200 |
| Production | 6,000 units |
| Sales | 4,500 units |
(Q.) What is net operating income under variable costing in the first year?
16.
The following data are average times per order over the last month for Gamora Corp.
|
days |
|
|
Queue time |
3 |
|
Inspection time |
12 |
|
Move time |
1 |
|
Wait time to start production |
5 |
|
Process time |
4 |
(Q.) What is Manufacturing Cycle Efficiency (MCE)? Use two decimal places in the answer (for example, if the answer is 44%, key in "0.44").
In: Accounting
15. Kevin company manufactures and sells one product. The following information pertains to the company's first year of operations:
|
Selling price per unit |
$100 |
|
Variable costs per unit: |
|
| Manufacturing: | |
|
Direct materials |
$8 |
|
Direct labor |
$20 |
|
Variable manufacturing overhead |
$11 |
|
Variable selling and administrative expense |
$18 |
|
Fixed costs per year: |
|
|
Fixed manufacturing overhead |
$48,000 |
|
Selling and administrative expense |
$72,200 |
| Production | 6,000 units |
| Sales | 4,500 units |
(Q.) What is net operating income under variable costing in the first year?
(A.) $ ?
16.
The following data are average times per order over the last month for Gamora Corp.
|
days |
|
|
Queue time |
3 |
|
Inspection time |
12 |
|
Move time |
1 |
|
Wait time to start production |
5 |
|
Process time |
4 |
(Q.) What is Manufacturing Cycle Efficiency (MCE)? Use two decimal places in the answer (for example, if the answer is 44%, key in "0.44").
(A.) ?
In: Accounting
| gpa | studyweek | sleepnight | gender |
| 3.89 | 50 | 6 | female |
| 3.9 | 15 | 6 | female |
| 3.75 | 15 | 7 | female |
| 3.6 | 10 | 6 | male |
| 4 | 25 | 7 | female |
| 3.15 | 20 | 7 | male |
| 3.25 | 15 | 6 | female |
| 3.925 | 10 | 8 | female |
| 3.428 | 12 | 8 | female |
| 3.8 | 2 | 8 | male |
| 3.9 | 10 | 8 | female |
| 2.9 | 30 | 6 | female |
| 3.925 | 30 | 7 | female |
| 3.65 | 21 | 9 | female |
| 3.75 | 10 | 8.5 | female |
| 4.67 | 14 | 6.5 | male |
| 3.1 | 12 | 7.5 | male |
| 3.8 | 12 | 8 | female |
| 3.4 | 4 | 9 | female |
| 3.575 | 45 | 6.5 | female |
| 3.85 | 6 | 7 | female |
| 3.4 | 10 | 7 | female |
| 3.5 | 12 | 8 | male |
| 3.6 | 13 | 6 | female |
| 3.825 | 35 | 8 | female |
| 3.925 | 10 | 8 | female |
| 4 | 40 | 8 | female |
| 3.425 | 14 | 9 | female |
| 3.75 | 30 | 6 | female |
| 3.15 | 8 | 6 | female |
| 3.4 | 8 | 6.5 | female |
| 3.7 | 20 | 7 | female |
| 3.36 | 40 | 7 | female |
| 3.7 | 15 | 7 | male |
| 3.7 | 25 | 5 | female |
| 3.6 | 10 | 7 | female |
| 3.825 | 18 | 7 | female |
| 3.2 | 15 | 6 | female |
| 3.5 | 30 | 8 | male |
| 3.5 | 11 | 7 | female |
| 3 | 28 | 6 | female |
| 3.98 | 4 | 7 | female |
| 3.7 | 4 | 5 | male |
| 3.81 | 25 | 7.5 | female |
| 4 | 42 | 5 | female |
| 3.1 | 3 | 7 | male |
| 3.4 | 42 | 9 | male |
| 3.5 | 25 | 8 | male |
| 3.65 | 20 | 6 | female |
| 3.7 | 7 | 8 | female |
| 3.1 | 6 | 8 | female |
| 4 | 20 | 7 | female |
| 3.35 | 45 | 6 | female |
| 3.541 | 30 | 7.5 | female |
| 2.9 | 20 | 6 |
female |
lem Statement: A sample of 55 students is selected. Data is collected on the students’ GPA, the # of hours studying per week, the # of hours sleeping per night and gender.
Divide the sample into two samples based on gender (Females versus Males). Calculate the statistics for all variables and answer the following questions:
a) Decide at the level of significance of 5% if there is any difference between the average GPA of females and males.
b) Decide at the level of significance of 5% if there is any difference between the average # of hours studying per week of females and males.
c) Decide at the level of significance of 5% if there is any difference between the average # of hours sleeping per night of females and males.
Show all your work on the Excel file and upload the excel file on D2L by due date.
In: Statistics and Probability
Question: Please open “PERFORMANCE” data. Data is about a survey result of manager who is planning to make a research on influence of competence and motivation on employees’ performance. However; he suspects whether there is a multicollinearity or not in his regression model he is planning to construct and he requested your help. Please support him with implementing multi collinearity analysis and report your findings. Your report must contain scatter plot matrix, correlation matrix, and a regression output including the VIF values. (Please perform it on spss)
| No | Competence | Motivation | Performance |
| 1 | 32 | 34 | 36 |
| 2 | 35 | 37 | 39 |
| 3 | 38 | 45 | 49 |
| 4 | 31 | 41 | 41 |
| 5 | 36 | 40 | 38 |
| 6 | 32 | 38 | 36 |
| 7 | 33 | 39 | 37 |
| 8 | 31 | 40 | 41 |
| 9 | 30 | 37 | 40 |
| 10 | 35 | 37 | 43 |
| 11 | 31 | 34 | 36 |
| 12 | 34 | 32 | 35 |
| 13 | 31 | 42 | 34 |
| 14 | 25 | 36 | 40 |
| 15 | 35 | 42 | 40 |
| 16 | 36 | 41 | 44 |
| 17 | 30 | 38 | 32 |
| 18 | 34 | 41 | 41 |
| 19 | 34 | 41 | 44 |
| 20 | 22 | 27 | 26 |
| 21 | 27 | 26 | 33 |
| 22 | 30 | 30 | 35 |
| 23 | 30 | 35 | 37 |
| 24 | 37 | 39 | 44 |
| 25 | 29 | 35 | 36 |
| 26 | 31 | 35 | 29 |
| 27 | 31 | 45 | 41 |
| 28 | 29 | 30 | 32 |
| 29 | 29 | 35 | 36 |
| 30 | 31 | 37 | 37 |
| 31 | 36 | 45 | 42 |
| 32 | 32 | 44 | 39 |
| 33 | 27 | 26 | 31 |
| 34 | 33 | 39 | 35 |
| 35 | 20 | 25 | 28 |
| 36 | 30 | 36 | 39 |
| 37 | 27 | 37 | 39 |
| 38 | 25 | 39 | 36 |
| 39 | 32 | 38 | 38 |
| 40 | 32 | 38 | 35 |
In: Statistics and Probability
Part 2 Please open “PERFORMANCE” data. Data is about a survey result of manager who is planning to make a research on influence of competence and motivation on employees’ performance. However; he suspects whether there is a multicollinearity or not in his regression model he is planning to construct and he requested your help. Please support him with implementing multi collinearity analysis and report your findings. Your report must contain scatter plot matrix, correlation matrix, and a regression output including the VIF values.
| No | Competence | Motivation | Performance |
| 1 | 32 | 34 | 36 |
| 2 | 35 | 37 | 39 |
| 3 | 38 | 45 | 49 |
| 4 | 31 | 41 | 41 |
| 5 | 36 | 40 | 38 |
| 6 | 32 | 38 | 36 |
| 7 | 33 | 39 | 37 |
| 8 | 31 | 40 | 41 |
| 9 | 30 | 37 | 40 |
| 10 | 35 | 37 | 43 |
| 11 | 31 | 34 | 36 |
| 12 | 34 | 32 | 35 |
| 13 | 31 | 42 | 34 |
| 14 | 25 | 36 | 40 |
| 15 | 35 | 42 | 40 |
| 16 | 36 | 41 | 44 |
| 17 | 30 | 38 | 32 |
| 18 | 34 | 41 | 41 |
| 19 | 34 | 41 | 44 |
| 20 | 22 | 27 | 26 |
| 21 | 27 | 26 | 33 |
| 22 | 30 | 30 | 35 |
| 23 | 30 | 35 | 37 |
| 24 | 37 | 39 | 44 |
| 25 | 29 | 35 | 36 |
| 26 | 31 | 35 | 29 |
| 27 | 31 | 45 | 41 |
| 28 | 29 | 30 | 32 |
| 29 | 29 | 35 | 36 |
| 30 | 31 | 37 | 37 |
| 31 | 36 | 45 | 42 |
| 32 | 32 | 44 | 39 |
| 33 | 27 | 26 | 31 |
| 34 | 33 | 39 | 35 |
| 35 | 20 | 25 | 28 |
| 36 | 30 | 36 | 39 |
| 37 | 27 | 37 | 39 |
| 38 | 25 | 39 | 36 |
| 39 | 32 | 38 | 38 |
| 40 | 32 | 38 | 35 |
In: Statistics and Probability
Given a normal distribution with µ = 47 and σ = 6, what is the probability that:
X < 39 or X > 44
X is between 37 and 46
7% of the values are less than what X value.
Between what two X values (symmetrically distributed around the mean) are 70% of the values?
In: Statistics and Probability
During the holiday season, shoppers were asked to estimate how much money they spent on gifts for themselves. Raw data is given below. Are the reported amounts significantly less than the actual amounts as determined from the receipts?
1) Write Ho (null) and H1 (alternative); indicate which is being tested.
2) Perform the statistical test ad write answer to the original question as a statement related to the original query
2) Construct a 99% confidence interval estimate of the mean difference between reported amounts and actual amounts . Interpret the resulting confidence interval, does it contain 0?
| Actual | Reported |
| 53 | 26 |
| 67 | 45 |
| 72 | 54 |
| 72 | 49 |
| 62 | 35 |
| 70 | 41 |
| 73 | 41 |
| 68 | 49 |
| 64 | 38 |
| 58 | 31 |
| 73 | 44 |
| 37 | 19 |
| 63 | 32 |
| 67 | 37 |
| 52 | 29 |
| 59 | 33 |
| 64 | 39 |
| 36 | 19 |
| 59 | 30 |
| 72 | 48 |
| 57 | 32 |
| 61 | 33 |
| 54 | 28 |
| 40 | 23 |
| 63 | 42 |
| 43 | 23 |
| 66 | 34 |
| 60 | 31 |
| 60 | 34 |
| 61 | 34 |
| 40 | 26 |
| 64 | 48 |
| 65 | 48 |
| 49 | 29 |
| 47 | 29 |
| 59 | 35 |
| 72 | 44 |
| 65 | 39 |
| 63 | 40 |
| 70 | 50 |
| 48 | 31 |
| 50 | 38 |
| 76 | 55 |
| 46 | 27 |
| 61 | 44 |
| 63 | 44 |
| 48 | 26 |
| 41 | 26 |
| 53 | 30 |
| 52 | 28 |
| 46 | 23 |
| 43 | 24 |
| 75 | 54 |
| 57 | 32 |
In: Math
Electric bill-
10/5- 99.80
11/5- 80.80
12/5- 92.80
1/5- 94.00
2/5- 100.48
3/5- 98.40
4/5- 88.78
6/5- 138.88
7/5- 160.88
8/5- 140.38
9/5- 124.20
10/5- 98.56
In: Statistics and Probability
Use the data in the following table for the next seven questions. Note that "%∆" is shorthand for "percentage change." If the answer is a percentage, please just enter the number. Thus, say an answer of yours is 3.5%, then below you would enter "3.5" (without the quotes) in the box below. Be careful not to include the percent symbol. Also, please use just one decimal place.
| year | real GDP (trillions) | nominal GDP (trillions) | CPI | %∆CPI from the previous year | nominal price of 1 apple | mortgage interest rate |
| 1990 | $14.80 | $12.10 | 130 | 4.0% | $0.50 | 8% |
| 2000 | $16.60 | $16.40 | 205 | 1.5% | $0.60 | 5% |
| 2010 | $18.20 | $19.75 | 230 | 2.0% | $0.75 | 6% |
| 2019 | $20.00 | $22.00 | 250 | 3.5% | $0.95 | 7% |
| 2020 | $20.40 | $22.85 | 260 | 4.0% | $1.00 | 6% |
Q1: Is the rate of inflation for consumers from 2019 to 2020 correct? Yes or NO
What was the rate of economic growth from 2019 to 2020? (As in the directions above, just enter the percent number, such as 3.5 for 3.5%).
What was the inflation rate for the entire economy from 2019 to 2020?
Q2: What was the real interest rate for a consumer purchasing a house in 2020? They'll be taking out a home loan, often called a mortgage.
Please convert the nominal price for an apple from 1990 to the prices of 2020. Assume that a consumer purchases it.
What was the percentage change in the real price of apples from 2019 to 2020 for consumers?
Deflate the nominal price of apples from 2020 for consumers (that is, convert the 2020 nominal price to the base year of the CPI). Please use two decimal place for this answer.
In: Economics