Hurwitz says that he doesn't book bands as favors. presumably at least some of the favors he's talking about would be to friends. do people who run their own company have an ethical responsibility to separate friends from business
In: Operations Management
In a survey of 3135 adults in a nation, a poll asked people whether they smoked cigarettes and whether they always wear a seat belt in a car. The table available below shows the results of the survey. For each activity, we define a success as finding an individual who participates in the hazardous activity. Complete parts (a) and (b) below. LOADING... Click the icon to view the survey results. (a) Why is this a dependent sample? A. This is a dependent sample because the two responses for each question are mutually exclusive. B. This is a dependent sample because the values in the table depend on the responses to the question. C. This is a dependent sample because the two variables are measured on the same individual. D. This is a dependent sample because the two variables are not mutually exclusive. (b) Is there a significant difference in the proportion of individuals who smoke and the proportion of individuals who do not wear a seat belt? In other words, is there a significant difference between the proportion of individuals who engage in hazardous activities? Use the alphaequals0.10 level of significance. Let p 1 represent the proportion who smoke and p 2 represent the proportion who do not wear a seat belt. What are the null and alternative hypotheses? A. Upper H 0 : p 1 equals p 2 Upper H 1 : p 1 not equals p 2 B. Upper H 0 : p 1 not equals p 2 Upper H 1 : p 1 equals p 2 C. Upper H 0 : p 1 equals p 2 Upper H 1 : p 1 greater than p 2 D. Upper H 0 : p 1 equals p 2 Upper H 1 : p 1 less than p 2 Calculate the test statistic. chi Subscript 0 Superscript 2equals nothing (Round to two decimal places as needed.) Find the P-value for the test statistic. The P-value is nothing. (Round to three decimal places as needed.) Test the null hypothesis. Choose the correct conclusion below. A. Do not reject the null hypothesis because there is not sufficient evidence to conclude that the proportion who smoke is greater than the proportion who do not wear a seat belt. B. Do not reject the null hypothesis because there is not sufficient evidence to conclude that the proportion who smoke and the proportion who do not wear a seat belt are different. C. Reject the null hypothesis because there is sufficient evidence to conclude that the proportion who smoke is less than the proportion who do not wear a seat belt. D. Reject the null hypothesis because there is sufficient evidence to conclude that the proportion who smoke and the proportion who do not wear a seat belt are different. Click to select your answer(s).
|
No Seat Belt (success) |
Seat Belt (failure) |
||
|---|---|---|---|
|
Smoke (success) |
77 |
467 |
|
|
Do Not Smoke (failure) |
340 2251
In: Statistics and Probability
In a survey of 3135 adults in a nation, a poll asked people whether they smoked cigarettes and whether they always wear a seat belt in a car. The table available below shows the results of the survey. For each activity, we define a success as finding an individual who participates in the hazardous activity. Complete parts (a) and (b) below. LOADING... Click the icon to view the survey results. (a) Why is this a dependent sample? A. This is a dependent sample because the two responses for each question are mutually exclusive. B. This is a dependent sample because the values in the table depend on the responses to the question. C. This is a dependent sample because the two variables are measured on the same individual. D. This is a dependent sample because the two variables are not mutually exclusive. (b) Is there a significant difference in the proportion of individuals who smoke and the proportion of individuals who do not wear a seat belt? In other words, is there a significant difference between the proportion of individuals who engage in hazardous activities? Use the alphaequals0.10 level of significance. Let p 1 represent the proportion who smoke and p 2 represent the proportion who do not wear a seat belt. What are the null and alternative hypotheses? A. Upper H 0 : p 1 equals p 2 Upper H 1 : p 1 not equals p 2 B. Upper H 0 : p 1 not equals p 2 Upper H 1 : p 1 equals p 2 C. Upper H 0 : p 1 equals p 2 Upper H 1 : p 1 greater than p 2 D. Upper H 0 : p 1 equals p 2 Upper H 1 : p 1 less than p 2 Calculate the test statistic. chi Subscript 0 Superscript 2equals nothing (Round to two decimal places as needed.) Find the P-value for the test statistic. The P-value is nothing. (Round to three decimal places as needed.) Test the null hypothesis. Choose the correct conclusion below. A. Do not reject the null hypothesis because there is not sufficient evidence to conclude that the proportion who smoke is greater than the proportion who do not wear a seat belt. B. Do not reject the null hypothesis because there is not sufficient evidence to conclude that the proportion who smoke and the proportion who do not wear a seat belt are different. C. Reject the null hypothesis because there is sufficient evidence to conclude that the proportion who smoke is less than the proportion who do not wear a seat belt. D. Reject the null hypothesis because there is sufficient evidence to conclude that the proportion who smoke and the proportion who do not wear a seat belt are different. Click to select your answer(s).
|
No Seat Belt (success) |
Seat Belt (failure) |
||
|---|---|---|---|
|
Smoke (success) |
77 |
467 |
|
|
Do Not Smoke (failure) |
340 2251
In: Statistics and Probability
The opening case in Chapter 12, “Big Data and the Internet of Things Drive Precision Agriculture,” demonstrates how the effective use of data analytics can help employees and managers at all levels, in many different industries, make better decisions. Using Purdue’s University College of Agriculture as an example, explain how you think this technology could help a company with which you are familiar.
In: Operations Management
iROBOT: HOW TO BE A SUSTAINABLE INNOVATOR?
iRobot, founded in 1990 in Delaware, designs and builds a vast array of behavior-based robots for home, military, and industrial uses. It is among the first companies to introduce robotic technology into the consumer market. Home care robots have been iRobot’s most successful products, with over 5 million units sold worldwide and accounting for over half of its total annual revenue. iRobot has a long-standing contractual relationship with the US government to produce robots for military defense.
iRobot is fully gauged towards first mover radical innovation with an extensive R&D budget. Made up of over 500 of the most distinguished robotics professionals in the world, it aims at leading the robotics industry. By forming alliances with companies like Boeing and Advanced Scientific Concepts, it is able to develop and improve upon products that it otherwise is incapable of obtaining using only its own technology. The company also has a healthy financial position with an excellent cash and long-term debt rate.
Despite these competences, iRobot still has serious concerns. Although the robotics industry is not highly competitive, iRobot needs more competition to help build up the total scale and visibility of the fledgling industry it has pioneered. Home care robots, its biggest revenue source, are a luxury supplemental good. Times of economic recession could prove to be a problem for the sales of iRobot’s consumer goods given that discretionary budgets are likely decreased. Although iRobot has over 70 patents, many of which will begin to expire in 2019. In a rapidly advancing industry, technology can also become obsolete quickly and render patents useless. Additionally, iRobot is highly dependent on several third-party suppliers to manufacture its consumer products. It also depends on the US government for the sales of its military products. Any volatility in its supply chain or government fiscal policy will have grave consequences for the company’s future.
Case Study Questions (25 marks each):
In: Operations Management
A company shipped 6,000,000 pounds of goods to customers at a cost of $3,000,000. Total revenue is $40 million. If an individual customer orders 10,000 pounds, calculate the amount of shipping cost assigned to the customer using activity-based costing.
In: Accounting
Jedi Industries wants to use a training system that is individualised, including individual performance and a great deal of time and research. Which training system would you recommend for the company and why would you commend this system? (10).
In: Operations Management
Do male college students spend more time studying than female college students? This was one of the questions investigated by the authors of an article. Each student in a random sample of 46 male students at a university in England and each student in a random sample of 38 female students from the same university kept a diary of how he or she spent time over a 3-week period.
For the sample of males, the mean time spent studying per day was 283.0 minutes and the standard deviation was 160.4 minutes. For the sample of females, the mean time spent studying was 183.8 minutes and the standard deviation was 166.4 minutes. Is there convincing evidence that the mean time male students at this university spend studying is greater than the mean time for female students? Test the appropriate hypotheses using
α = 0.05.
(Use μ1 for male students and μ2 for female students.)
State the appropriate null and alternative hypotheses.
H0: μ1 − μ2 > 0 and Ha: μ1 − μ2 < 0
H0: μ1 − μ2 = 0 and Ha: μ1 − μ2 > 0
H0: μ1 − μ2 < 0 and Ha: μ1 − μ2 > 0
H0: μ1 − μ2 = 0 and Ha: μ1 − μ2 < 0
H0: μ1 − μ2 > 0 and Ha: μ1 − μ2 = 0
Find the test statistic and P-value. (Use a table or technology. Round your test statistic to one decimal place and your P-value to three decimal places.)
t=
P-value=
State the conclusion in the problem context.
We reject H0. We have convincing evidence that the mean time male students at this university spend studying is greater than the mean time for female students.
We fail to reject H0. We have convincing evidence that the mean time male students at this university spend studying is greater than the mean time for female students.
We fail to reject H0. We do not have convincing evidence that the mean time male students at this university spend studying is greater than the mean time for female students.
We reject H0. We do not have convincing evidence that the mean time male students at this university spend studying is greater than the mean time for female students.
In: Statistics and Probability
Match each of the following studies and sources of bias.
A. Undercoverage Bias
B. Self selection bias
C. Survivorship bias
|
In: Statistics and Probability
Match each of the following studies and sources of bias.
|
| A. |
Self-selection Bias |
| B. |
Survivorship Bias |
| C. |
Undercoverage Bias |
In: Statistics and Probability