Please share with the class your overall impression of how you would envision the ideal HR department interacting with an employee (who worked outside of HR) on a regular basis, once a person has been hired. If you have personal experiences, positive or negative, you can share them with us for illustration purposes, but please do not identify any actual person or company. (The points will be made just as well with any specifics being kept anonymous.)
In: Operations Management
The common stock of the Brangus Cattle Company had the following end-of-year stock prices over the last five years and paid no cash dividends:
|
Time |
Brangus cattle Comapny |
||
|
1 |
$13 |
||
|
2 |
10 |
||
|
3 |
14 |
||
|
4 |
20 |
||
|
5 |
27 |
||
a. Calculate the annual rate of return for EACH YEARr from the above information.
b. What is the arithmetic average rate of return earned by investing in Brangus Cattle Company's stock over this period?
c. What is the geometric average rate of return earned by investing in Brangus Cattle Company's stock over this period?
d. Which type of average rate of return best describes the average annual rate of return earned over the period (the arithmetic or geometric)? Why?
In: Finance
You have heard from idle chatter that most students don't declare a major in their MBA programs. You took a sample of 200 students (in the data file). Conduct a one-sample hypothesis test to determine if the proportion without a major is greater than 50%. Use a .05 significance level.
| ID | Gender | Major | Employ | Age | MBA_GPA |
| 1 | 0 | No Major | Unemployed | 39 | 2.82 |
| 2 | 1 | No Major | Full Time | 55 | 4 |
| 3 | 0 | No Major | Part Time | 43 | 3.45 |
| 4 | 0 | No Major | Full Time | 56 | 2.61 |
| 5 | 1 | No Major | Full Time | 38 | 3.5 |
| 6 | 0 | No Major | Unemployed | 54 | 4 |
| 7 | 0 | No Major | Full Time | 30 | 3 |
| 8 | 0 | No Major | Full Time | 37 | 2.5 |
| 9 | 0 | No Major | Part Time | 38 | 2.84 |
| 10 | 0 | No Major | Full Time | 42 | 3.72 |
| 11 | 0 | No Major | Part Time | 52 | 3.21 |
| 12 | 0 | No Major | Full Time | 35 | 3.44 |
| 13 | 0 | No Major | Full Time | 37 | 3.65 |
| 14 | 0 | No Major | Full Time | 53 | 3.02 |
| 15 | 0 | No Major | Part Time | 51 | 3.03 |
| 16 | 1 | No Major | Full Time | 40 | 3.8 |
| 17 | 0 | Finance | Full Time | 33 | 4 |
| 18 | 0 | No Major | Part Time | 53 | 3.26 |
| 19 | 0 | No Major | Full Time | 43 | 3.53 |
| 20 | 0 | Finance | Unemployed | 35 | 3.75 |
| 21 | 0 | No Major | Full Time | 57 | 3.15 |
| 22 | 1 | No Major | Part Time | 32 | 3.66 |
| 23 | 1 | No Major | Full Time | 59 | 3.36 |
| 24 | 1 | No Major | Full Time | 48 | 3.79 |
| 25 | 1 | No Major | Part Time | 34 | 2.85 |
| 26 | 1 | No Major | Full Time | 53 | 3.74 |
| 27 | 1 | No Major | Part Time | 35 | 3.23 |
| 28 | 1 | No Major | Unemployed | 38 | 3.52 |
| 29 | 1 | No Major | Part Time | 37 | 3.32 |
| 30 | 0 | Finance | Full Time | 46 | 2.89 |
| 31 | 0 | No Major | Full Time | 44 | 2.83 |
| 32 | 0 | No Major | Unemployed | 31 | 2.93 |
| 33 | 0 | No Major | Full Time | 51 | 3.71 |
| 34 | 0 | Finance | Full Time | 47 | 3.47 |
| 35 | 0 | No Major | Part Time | 56 | 3.52 |
| 36 | 1 | Finance | Part Time | 42 | 2.83 |
| 37 | 0 | Finance | Full Time | 44 | 3.64 |
| 38 | 0 | No Major | Unemployed | 54 | 2.96 |
| 39 | 0 | Finance | Full Time | 51 | 3.59 |
| 40 | 0 | No Major | Part Time | 42 | 3.33 |
| 41 | 0 | Finance | Full Time | 45 | 3.38 |
| 42 | 0 | Finance | Full Time | 55 | 3.44 |
| 43 | 0 | No Major | Full Time | 47 | 3.31 |
| 44 | 1 | Finance | Unemployed | 43 | 3.03 |
| 45 | 0 | Finance | Full Time | 57 | 3.26 |
| 46 | 1 | Finance | Full Time | 36 | 3.04 |
| 47 | 1 | No Major | Part Time | 58 | 2.98 |
| 48 | 1 | Finance | Full Time | 46 | 2.8 |
| 49 | 1 | Finance | Full Time | 53 | 3.75 |
| 50 | 0 | Finance | Full Time | 59 | 3.64 |
| 51 | 0 | No Major | Full Time | 49 | 3.65 |
| 52 | 0 | Finance | Full Time | 34 | 3.18 |
| 53 | 0 | No Major | Full Time | 46 | 3.44 |
| 54 | 1 | Finance | Unemployed | 46 | 3.06 |
| 55 | 1 | Finance | Full Time | 33 | 3.51 |
| 56 | 1 | Marketing | Part Time | 56 | 3.33 |
| 57 | 1 | Marketing | Full Time | 39 | 2.81 |
| 58 | 1 | Marketing | Full Time | 51 | 3.64 |
| 59 | 1 | Leadership | Part Time | 55 | 3.05 |
| 60 | 1 | Leadership | Full Time | 38 | 2.85 |
| 61 | 1 | Marketing | Full Time | 33 | 3.56 |
| 62 | 1 | Marketing | Full Time | 34 | 2.92 |
| 63 | 1 | Marketing | Full Time | 31 | 3.35 |
| 64 | 1 | Marketing | Full Time | 37 | 3.46 |
| 65 | 1 | Marketing | Full Time | 46 | 3.59 |
| 66 | 1 | No Major | Unemployed | 31 | 3.11 |
| 67 | 1 | No Major | Full Time | 47 | 3.65 |
| 68 | 1 | No Major | Part Time | 54 | 3.17 |
| 69 | 1 | No Major | Full Time | 52 | 2.97 |
| 70 | 1 | Marketing | Part Time | 43 | 3.77 |
| 71 | 1 | Leadership | Full Time | 44 | 3.21 |
| 72 | 1 | Leadership | Part Time | 34 | 3.17 |
| 73 | 1 | Leadership | Full Time | 59 | 3.65 |
| 74 | 1 | Leadership | Full Time | 45 | 2.94 |
| 75 | 1 | Leadership | Full Time | 30 | 3.53 |
| 76 | 1 | No Major | Full Time | 32 | 3.65 |
| 77 | 1 | Leadership | Full Time | 32 | 3.61 |
| 78 | 1 | No Major | Full Time | 40 | 3.7 |
| 79 | 1 | Leadership | Full Time | 48 | 2.91 |
| 80 | 1 | Leadership | Unemployed | 51 | 3.09 |
| 81 | 1 | Leadership | Full Time | 30 | 3.77 |
| 82 | 1 | Leadership | Full Time | 31 | 3.79 |
| 83 | 1 | Leadership | Full Time | 35 | 3.59 |
| 84 | 1 | Leadership | Full Time | 33 | 3.38 |
| 85 | 1 | No Major | Full Time | 35 | 4 |
| 86 | 1 | Marketing | Full Time | 31 | 2.97 |
| 87 | 1 | Marketing | Full Time | 38 | 3.44 |
| 88 | 1 | No Major | Part Time | 46 | 3.64 |
| 89 | 1 | Finance | Full Time | 45 | 3.48 |
| 90 | 1 | Finance | Full Time | 59 | 2.76 |
| 91 | 1 | Finance | Full Time | 58 | 3.73 |
| 92 | 1 | Finance | Full Time | 46 | 2.91 |
| 93 | 1 | Finance | Full Time | 35 | 3.78 |
| 94 | 1 | Finance | Part Time | 53 | 3.5 |
| 95 | 1 | Finance | Full Time | 31 | 3.13 |
| 96 | 1 | Finance | Full Time | 50 | 3.14 |
| 97 | 1 | Finance | Full Time | 38 | 3.24 |
| 98 | 1 | Finance | Full Time | 50 | 3.56 |
| 99 | 1 | Finance | Full Time | 48 | 3.16 |
| 100 | 1 | Finance | Full Time | 53 | 3.53 |
| 101 | 0 | No Major | Unemployed | 53 | 3.7 |
| 102 | 0 | Marketing | Full Time | 30 | 3.3 |
| 103 | 0 | Marketing | Part Time | 32 | 4 |
| 104 | 0 | Leadership | Full Time | 42 | 3.5 |
| 105 | 0 | Leadership | Full Time | 56 | 3.39 |
| 106 | 0 | No Major | Full Time | 46 | 3.65 |
| 107 | 0 | Leadership | Full Time | 49 | 2.78 |
| 108 | 0 | No Major | Part Time | 32 | 3.44 |
| 109 | 0 | No Major | Full Time | 36 | 3.88 |
| 110 | 0 | No Major | Full Time | 42 | 2.84 |
| 111 | 0 | No Major | Part Time | 37 | 3.53 |
| 112 | 0 | No Major | Full Time | 31 | 3.22 |
| 113 | 0 | No Major | Full Time | 31 | 3.56 |
| 114 | 0 | No Major | Unemployed | 42 | 3.2 |
| 115 | 0 | No Major | Full Time | 39 | 3.56 |
| 116 | 0 | No Major | Full Time | 47 | 3.41 |
| 117 | 0 | Leadership | Part Time | 28 | 3.56 |
| 118 | 0 | Leadership | Unemployed | 28 | 3.34 |
| 119 | 0 | Leadership | Full Time | 52 | 2.56 |
| 120 | 0 | Leadership | Part Time | 35 | 3.76 |
| 121 | 1 | Finance | Full Time | 38 | 3.55 |
| 122 | 1 | No Major | Full Time | 44 | 3.88 |
| 123 | 1 | No Major | Part Time | 38 | 3.31 |
| 124 | 1 | Finance | Full Time | 52 | 3.09 |
| 125 | 1 | Finance | Unemployed | 53 | 3.82 |
| 126 | 1 | Finance | Part Time | 53 | 3.01 |
| 127 | 1 | Finance | Full Time | 31 | 3.66 |
| 128 | 1 | Finance | Part Time | 47 | 3.64 |
| 129 | 1 | Finance | Full Time | 51 | 3.59 |
| 130 | 1 | Finance | Unemployed | 37 | 3.49 |
| 131 | 1 | Finance | Part Time | 46 | 3.13 |
| 132 | 1 | Finance | Full Time | 48 | 3.83 |
| 133 | 1 | Leadership | Full Time | 54 | 3.04 |
| 134 | 1 | Leadership | Full Time | 48 | 3.91 |
| 135 | 1 | Leadership | Full Time | 36 | 3.56 |
| 136 | 1 | Finance | Unemployed | 39 | 3.96 |
| 137 | 1 | Finance | Full Time | 28 | 3.46 |
| 138 | 1 | Finance | Part Time | 45 | 3.22 |
| 139 | 1 | Finance | Full Time | 31 | 3.27 |
| 140 | 1 | Finance | Full Time | 47 | 3.43 |
| 141 | 1 | Finance | Part Time | 35 | 3.85 |
| 142 | 1 | Finance | Full Time | 52 | 3.89 |
| 143 | 0 | Finance | Part Time | 52 | 3.37 |
| 144 | 1 | Finance | Unemployed | 55 | 3.32 |
| 145 | 1 | Finance | Full Time | 52 | 3.54 |
| 146 | 1 | Finance | Part Time | 46 | 3.8 |
| 147 | 1 | Leadership | Full Time | 31 | 3.74 |
| 148 | 1 | Leadership | Unemployed | 33 | 3.6 |
| 149 | 1 | Leadership | Part Time | 45 | 2.6 |
| 150 | 1 | Leadership | Unemployed | 50 | 3.8 |
| 151 | 1 | No Major | Part Time | 33 | 2.67 |
| 152 | 1 | No Major | Full Time | 37 | 3.95 |
| 153 | 1 | No Major | Unemployed | 33 | 3.56 |
| 154 | 1 | Marketing | Full Time | 46 | 3.79 |
| 155 | 1 | Marketing | Unemployed | 55 | 3.93 |
| 156 | 1 | Marketing | Full Time | 30 | 3.79 |
| 157 | 1 | Marketing | Full Time | 51 | 3.71 |
| 158 | 1 | Marketing | Unemployed | 35 | 3.05 |
| 159 | 1 | Marketing | Unemployed | 40 | 3.22 |
| 160 | 0 | Marketing | Part Time | 29 | 3.85 |
| 161 | 1 | Marketing | Full Time | 52 | 3.82 |
| 162 | 1 | Marketing | Unemployed | 27 | 3.23 |
| 163 | 1 | Marketing | Full Time | 51 | 3.56 |
| 164 | 0 | Marketing | Part Time | 56 | 3.53 |
| 165 | 1 | Marketing | Unemployed | 35 | 3.62 |
| 166 | 1 | Leadership | Full Time | 46 | 3.8 |
| 167 | 1 | Leadership | Part Time | 39 | 3.47 |
| 168 | 1 | Leadership | Full Time | 31 | 3.64 |
| 169 | 1 | Leadership | Part Time | 52 | 3.03 |
| 170 | 1 | Leadership | Unemployed | 35 | 3.17 |
| 171 | 1 | Leadership | Full Time | 32 | 3.22 |
| 172 | 0 | Leadership | Part Time | 44 | 3.92 |
| 173 | 1 | Leadership | Unemployed | 43 | 3.82 |
| 174 | 1 | Leadership | Part Time | 38 | 3.26 |
| 175 | 1 | Leadership | Full Time | 54 | 3.8 |
| 176 | 1 | Leadership | Full Time | 30 | 3.2 |
| 177 | 0 | Leadership | Part Time | 38 | 3.46 |
| 178 | 1 | Leadership | Full Time | 45 | 3.67 |
| 179 | 1 | Leadership | Unemployed | 48 | 4 |
| 180 | 1 | Leadership | Full Time | 43 | 3.66 |
| 181 | 0 | Leadership | Full Time | 34 | 3.96 |
| 182 | 1 | Leadership | Full Time | 54 | 3.75 |
| 183 | 1 | Leadership | Full Time | 36 | 3.83 |
| 184 | 1 | Leadership | Full Time | 45 | 3.55 |
| 185 | 0 | Leadership | Unemployed | 55 | 3.36 |
| 186 | 1 | Leadership | Part Time | 45 | 3.21 |
| 187 | 1 | Leadership | Part Time | 34 | 2.97 |
| 188 | 0 | Leadership | Part Time | 54 | 3.99 |
| 189 | 1 | Leadership | Full Time | 36 | 3.07 |
| 190 | 1 | Leadership | Full Time | 24 | 3.65 |
| 191 | 1 | Leadership | Full Time | 34 | 3.67 |
| 192 | 1 | Leadership | Full Time | 45 | 3.06 |
| 193 | 1 | Leadership | Unemployed | 33 | 3.98 |
| 194 | 1 | Leadership | Full Time | 22 | 3.93 |
| 195 | 1 | Leadership | Unemployed | 27 | 3.41 |
| 196 | 1 | Leadership | Unemployed | 33 | 3.43 |
| 197 | 1 | Leadership | Unemployed | 36 | 3.7 |
| 198 | 1 | Leadership | Unemployed | 34 | 3.76 |
| 199 | 1 | Leadership | Unemployed | 55 | 3.9 |
| 200 | 1 | Leadership | Full Time | 33 | 3.23 |
In: Statistics and Probability
2)Business Weekly conducted a survey of graduates from 30 top
MBA programs. On the basis of the survey, assume the mean annual
salary for graduates 10 years after graduation is 132000 dollars.
Assume the standard deviation is 31000 dollars. Suppose you take a
simple random sample of 59 graduates.
Find the probability that a single randomly selected salary has a
mean value between 116260.2 and 145318.3 dollars.
P(116260.2 < X < 145318.3)
= (Enter your answers as numbers accurate to 4 decimal
places.)
Find the probability that a random sample of size n=59n=59 has a
mean value between 116260.2 and 145318.3 dollars.
P(116260.2 < ¯xx¯ < 145318.3) = (Enter
your answers as numbers accurate to 4 decimal places.)
3)A leading magazine (like Barron's) reported at one time that
the average number of weeks an individual is unemployed is 36.1
weeks. Assume that for the population of all unemployed individuals
the population mean length of unemployment is 36.1 weeks and that
the population standard deviation is 5.4 weeks. Suppose you would
like to select a random sample of 91 unemployed individuals for a
follow-up study.
Find the probability that a single randomly selected value is
between 35 and 37.2.
P(35 < X < 37.2) =
Find the probability that a sample of size n=91n=91 is randomly
selected with a mean between 35 and 37.2.
P(35 < ¯xx¯ < 37.2) =
Enter your answers as numbers accurate to 4 decimal places.
4)CNNBC recently reported that the mean annual cost of auto
insurance is 957 dollars. Assume the standard deviation is 271
dollars. You take a simple random sample of 73 auto insurance
policies. (Do not use tables unless directed to do so.)
Find the probability that a single randomly selected value is more
than 994 dollars.
P(X > 994) =
Find the probability that a sample of size n=73n=73 is randomly
selected with a mean that is more than 994 dollars.
P(¯xx¯ > 994) =
Enter your answers as numbers accurate to 4 decimal places.
5)Business Weekly conducted a survey of graduates from 30 top
MBA programs. On the basis of the survey, assume the mean annual
salary for graduates 10 years after graduation is 168000 dollars.
Assume the standard deviation is 43000 dollars. Suppose you take a
simple random sample of 70 graduates.
Do not use probability tables to find the probabilities below as
they may not be accurate enough.
Find the probability that a single randomly selected salary is more
than 164000 dollars.
P(X > 164000) =
Find the probability that a sample of size n=70n=70 is randomly
selected with a mean that is more than 164000 dollars.
P(¯xx¯ > 164000) =
Enter your answers as numbers accurate to 4 decimal places.
6)A leading magazine (like Barron's) reported at one time that
the average number of weeks an individual is unemployed is 23
weeks. Assume that for the population of all unemployed individuals
the population mean length of unemployment is 23 weeks and that the
population standard deviation is 9 weeks. Suppose you would like to
select a random sample of 38 unemployed individuals for a follow-up
study.
Find the probability that a single randomly selected value is less
than 24.
P(X < 24) =
Find the probability that a sample of size n=38n=38 is randomly
selected with a mean less than 24.
P(¯xx¯ < 24) =
Enter your answers as numbers accurate to 4 decimal places.
7)A company produces steel rods. The lengths of the steel rods
are normally distributed with a mean of 261.5-cm and a standard
deviation of 0.5-cm. For shipment, 13 steel rods are bundled
together.
Find the probability that the average length of a randomly selected
bundle of steel rods is less than 261.7-cm.
P(¯xx¯ < 261.7-cm) =
Enter your answer as a number accurate to 4 decimal places.
In: Statistics and Probability
2)Business Weekly conducted a survey of graduates from 30 top
MBA programs. On the basis of the survey, assume the mean annual
salary for graduates 10 years after graduation is 132000 dollars.
Assume the standard deviation is 31000 dollars. Suppose you take a
simple random sample of 59 graduates.
Find the probability that a single randomly selected salary has a
mean value between 116260.2 and 145318.3 dollars.
P(116260.2 < X < 145318.3)
= (Enter your answers as numbers accurate to 4 decimal
places.)
Find the probability that a random sample of size n=59n=59 has a
mean value between 116260.2 and 145318.3 dollars.
P(116260.2 < ¯xx¯ < 145318.3) = (Enter
your answers as numbers accurate to 4 decimal places.)
3)A leading magazine (like Barron's) reported at one time that
the average number of weeks an individual is unemployed is 36.1
weeks. Assume that for the population of all unemployed individuals
the population mean length of unemployment is 36.1 weeks and that
the population standard deviation is 5.4 weeks. Suppose you would
like to select a random sample of 91 unemployed individuals for a
follow-up study.
Find the probability that a single randomly selected value is
between 35 and 37.2.
P(35 < X < 37.2) =
Find the probability that a sample of size n=91n=91 is randomly
selected with a mean between 35 and 37.2.
P(35 < ¯xx¯ < 37.2) =
Enter your answers as numbers accurate to 4 decimal places.
4)CNNBC recently reported that the mean annual cost of auto
insurance is 957 dollars. Assume the standard deviation is 271
dollars. You take a simple random sample of 73 auto insurance
policies. (Do not use tables unless directed to do so.)
Find the probability that a single randomly selected value is more
than 994 dollars.
P(X > 994) =
Find the probability that a sample of size n=73n=73 is randomly
selected with a mean that is more than 994 dollars.
P(¯xx¯ > 994) =
Enter your answers as numbers accurate to 4 decimal places.
5)Business Weekly conducted a survey of graduates from 30 top
MBA programs. On the basis of the survey, assume the mean annual
salary for graduates 10 years after graduation is 168000 dollars.
Assume the standard deviation is 43000 dollars. Suppose you take a
simple random sample of 70 graduates.
Do not use probability tables to find the probabilities below as
they may not be accurate enough.
Find the probability that a single randomly selected salary is more
than 164000 dollars.
P(X > 164000) =
Find the probability that a sample of size n=70n=70 is randomly
selected with a mean that is more than 164000 dollars.
P(¯xx¯ > 164000) =
Enter your answers as numbers accurate to 4 decimal places.
6)A leading magazine (like Barron's) reported at one time that
the average number of weeks an individual is unemployed is 23
weeks. Assume that for the population of all unemployed individuals
the population mean length of unemployment is 23 weeks and that the
population standard deviation is 9 weeks. Suppose you would like to
select a random sample of 38 unemployed individuals for a follow-up
study.
Find the probability that a single randomly selected value is less
than 24.
P(X < 24) =
Find the probability that a sample of size n=38n=38 is randomly
selected with a mean less than 24.
P(¯xx¯ < 24) =
Enter your answers as numbers accurate to 4 decimal places.
7)A company produces steel rods. The lengths of the steel rods
are normally distributed with a mean of 261.5-cm and a standard
deviation of 0.5-cm. For shipment, 13 steel rods are bundled
together.
Find the probability that the average length of a randomly selected
bundle of steel rods is less than 261.7-cm.
P(¯xx¯ < 261.7-cm) =
Enter your answer as a number accurate to 4 decimal places.
In: Statistics and Probability
In: Statistics and Probability
Let's say that I am the marketer for a medical solution Company. We are trying to enter the market with a medical product (Device) that Alleviates Feet pain and heals Heel Cracks To make you feel relaxed. This product is mainly Targeting People Age 22 To 40 Those who usually suffer from Feet pain and feet cracks. Currently, we are targeting the US market only. So I wanted to know how can I differentiate my product from my competitors and position my product / Brand name in my consumer's mind.
Can You give a set of Ideas where I can add to differentiate or position my brand name? Like More Customer support or a feature
This is Related to marketing, but since there is no marketing category, I placed it under economics.
In: Economics
What would the journal entry be for these adjusting entries?
1. On October 1, the company loaned $3,000 to an officer who will repay the loan in one year at an annual interest rate of 12%.
2. On November 1, the company deposited $10,000 in a savings account that earned 3% interest per year.
3. Paid $1,100 for an 11-month insurance premium on July 1, this year. The entry in July increased the Prepaid insurance account.
4. Purchased equipment for $12,000 cash on January 1, this year; estimated a useful life of five years with a residual value of $2,000.
5. Unearned rent revenue of $900 was for rent for the period December 1, this year, to March 1, next year.
6. On July 1, the company took out a 1 year note for $3,000 at an interest rate of 10%
In: Accounting
Determine the amount of the standard deduction for each of the following taxpayers for tax year 2017:
Christina, who is single.
Adrian and Carol, who are filing a joint return. Their son is blind.
Peter and Elizabeth, who are married and file separate tax returns. Elizabeth will itemize her deductions.
Karen, who earned $1,100 working a part-time job. She can be claimed as a dependent by her parents.
Rodolfo, who is over 65 and is single.
Bernard, who is a nonresident alien with U.S. income.
Manuel, who is 70, and Esther, who is 63 and blind, will file a joint return.
Herman, who is 75 and a qualifying widower with a dependent child.
In: Accounting
Old World Charm, Inc. specializes in selling scented candles. The company has established a policy of reordering inventory every other month (which is 6 times per year). A recently employed MBA has considered New England's inventory problem from the EOQ model viewpoint. If the following constitute the relevant data, what is the extra total cost of the current policy compared with the total cost of the optimal policy? Enter your answer rounded to two decimal places. Do not enter $ or comma in the answer box. For example, if your answer is $12,300.456 then enter as 12300.46 in the answer box.
Ordering cost = $10 per order
Carrying cost = 20% of purchase price
Purchase price = $15 per unit
Total sales for year = 1,000 units
Safety stock = 0
In: Accounting