As the new cybersecurity employee at a Florida-based luxury hotel chain franchise, would you insource cybersecurity functions or outsource?

. Draw a value chain for a hotel you know well or have researched. Explain the implication of your study for competitive advantage.

An article in the U.S. News & Works Report (September 28, 1981) states that approximately 21.3 million workers, more than a fifth of the workforce in the United States, have unorthodox working hours. More than 9.3 million work on a flexible schedule (the worker plans his own schedule) or on a weekly "compressed" schedule. A company planning to install flexible hours estimated that an average of 7 hours a day per assembly worker was needed to operate efficiently. Each of the company's 80 assemblers was asked to submit a tentative flexible schedule. If the average number of hours per day for Monday was 6.7 hours, and the standard deviation 2.7 hours. Using a 95% confidence interval, do the data provide evidence that the average number of hours worked every Monday, for all fitters in the company, will be less than 7 hours?

Por medio de una prueba de hipótesis, contestar usando un nivel de significancia del 5%

An article in the July 5, 2015 Denver Post reported on the bankruptcy filing of Molycorp, a Greenwood Village-based mining company. Molycorp specialized in the production of rare earths like lanthanum and cerium. The Denver Post article states “In 2009, China, which produced 97% of the world’s rare earths, imposed export restrictions.” As you might expect, China’s action caused a spike in the world price of rare earths. Recently, China lifted its export restrictions in response to a World Trade Organization ruling. Use the supply and demand model to analyze how the end of China’s export restrictions affected the market for rare earths in the United States. You should evaluate the effects on the overall economy and on groups within the economy who are made better or worse off. Specifically, how did China’s recent action affect Molycorp? Your answer must include both a graph and a written explanation.

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. Below is a sample of 25 days (Monday through Thursday) from last year showing the restaurant income and number of rooms occupied.

1. Choose the scatter diagram that best fits the data.

• Scatter diagram 1

• Scatter diagram 2

• Scatter diagram 3

2. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

1. c-1. State the decision rule for 0.01 significance level: H₀: ρ ≤ 0; H₁: ρ > 0. (Round your answer to 3 decimal places.)

1. c-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.)

1. c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.01 significance level.

4. What percent of the variation in revenue in the restaurant is accounted for by the number of rooms occupied? (Round your answer to 1 decimal place.)

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. Below is a sample of 25 days (Monday through Thursday) from last year showing the restaurant income and number of rooms occupied.

Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

c-1. State the decision rule for 0.025 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)

c-2Compute the value of the test statistic. (Round your answer to 2 decimal places.)

c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.025 significance level.

What percent of the variation in revenue in the restaurant is accounted for by the number of rooms occupied? (Round your answer to 1 decimal place.)

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. Below is a sample of 25 days (Monday through Thursday) from last year showing the restaurant income and number of rooms occupied.

1. Choose the scatter diagram that best fits the data.

• Scatter diagram 1

• Scatter diagram 2

• Scatter diagram 3

2. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

Pearson correlation _______

1. c-1. State the decision rule for 0.01 significance level: H₀: ρ ≤ 0; H₁: ρ > 0. (Round your answer to 3 decimal places.)

Reject H0 if t > ________

1. c-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.)

Value of the test statistic ______

4. What percent of the variation in revenue in the restaurant is accounted for by the number of rooms occupied? (Round your answer to 1 decimal place.)

_____ % of the variation in revenue is explained by variation in occupied rooms.

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. Below is a sample of 25 days (Monday through Thursday) from last year showing the restaurant income and number of rooms occupied.

1. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

Pearson Correlation:

2.

c-1. State the decision rule for 0.01 significance level: H₀: ρ ≤ 0; H₁: ρ > 0. (Round your answer to 3 decimal places.)

c-2. Compute the value of the test statistic.

D. What percent of the variation in revenue in the restaurant is accounted for by the number of rooms occupied? (Round your answer to 1 decimal place.)

________% of the variation in revenue is explained by variation in occupied rooms.

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. Below is a sample of 25 days (Monday through Thursday) from last year showing the restaurant income and number of rooms occupied.

a. Choose the scatter diagram that best fits the data.

b. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

1. c-1. State the decision rule for 0.01 significance level: H₀: ρ ≤ 0; H₁: ρ > 0. (Round your answer to 3 decimal places.)

1. c-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.)

1. c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.01 significance level.

d.

4. What percent of the variation in revenue in the restaurant is accounted for by the number of rooms occupied? (Round your answer to 1 decimal place.)

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. Below is a sample of 25 days (Monday through Thursday) from last year showing the restaurant income and number of rooms occupied.

1. Choose the scatter diagram that best fits the data.

• Scatter diagram 1

• Scatter diagram 2

• Scatter diagram 3

2. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

Pearson correlation _____

1. c-1. State the decision rule for 0.01 significance level: H₀: ρ ≤ 0; H₁: ρ > 0. (Round your answer to 3 decimal places.)

Reject H0 if T> _____

1. c-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.)

Value of the test statistic _________

1. c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.01 significance level.

______ H0, it ______ reasonable to conclude that there is a positive relationship between revenue and occupied rooms.

4. What percent of the variation in revenue in the restaurant is accounted for by the number of rooms occupied? (Round your answer to 1 decimal place.)

_____ % of the variation in revenue is explained by variation occupied rooms.