Questions
Please share with the class your overall impression of how you would envision the ideal HR...

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...

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...

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...

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...

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

4. Let’s assume a researcher is creating a sampling distribution for the exam scores of introduction...

4. Let’s assume a researcher is creating a sampling distribution for the exam scores of introduction to marketing course finals for the last 10 years that were taken at Wayne State University. Let’s us assume that the sample size is 225.What is the standard error? How do we interpret that number?

5. Let’s now estimate the population mean with a 95% level of confidence. In other words, compute a range such that you are 95% confident that this range will include the true population parameter.



In: Statistics and Probability

Let's say that I am the marketer for a medical solution Company. We are trying to...

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...

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...

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...

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