Explain the attraction of gaming entertainment to the destination of a tourist.
How are hotel operations in a gaming entertainment business different from hotel operations in a nongaming environment?
List the duties of CVBs.
Describe the main types of meeting setups.
Please explain these questions within 300 words in total.
In: Operations Management
Rob McGowan collects data from General Motors, General Electric, Oracle, and Microsoft. His professor seeks to form a portfolio using these stocks. ?
3. Compute the “beta” for each stock (Use DJIA as the market return).
a) What does beta measure?
|
1997-06-01 |
4.93 |
|
1997-07-01 |
5.05 |
|
1997-08-01 |
5.14 |
|
1997-09-01 |
4.95 |
|
1997-10-01 |
4.97 |
|
1997-11-01 |
5.14 |
|
1997-12-01 |
5.16 |
|
1998-01-01 |
5.04 |
|
1998-02-01 |
5.09 |
|
1998-03-01 |
5.03 |
|
1998-04-01 |
4.95 |
|
1998-05-01 |
5.00 |
|
1998-06-01 |
4.98 |
|
1998-07-01 |
4.96 |
|
1998-08-01 |
4.90 |
|
1998-09-01 |
4.61 |
|
1998-10-01 |
3.96 |
|
1998-11-01 |
4.41 |
|
1998-12-01 |
4.39 |
|
1999-01-01 |
4.34 |
|
1999-02-01 |
4.44 |
|
1999-03-01 |
4.44 |
|
1999-04-01 |
4.29 |
|
1999-05-01 |
4.50 |
|
1999-06-01 |
4.57 |
|
1999-07-01 |
4.55 |
|
1999-08-01 |
4.72 |
|
1999-09-01 |
4.68 |
|
1999-10-01 |
4.86 |
|
1999-11-01 |
5.07 |
|
1999-12-01 |
5.20 |
|
2000-01-01 |
5.32 |
|
2000-02-01 |
5.55 |
|
2000-03-01 |
5.69 |
|
2000-04-01 |
5.66 |
|
2000-05-01 |
5.79 |
|
2000-06-01 |
5.69 |
| Month | Sale Date | GM | GE | Oracle | Microsoft | DJIA |
| 1 | 1-Jun-97 | -0.86995 | 10.49754 | 21.13459 | 2.77686 | 4.485357 |
| 2 | 1-Jul-97 | 1.710171 | 9.648689 | -0.91827 | 0.450306 | 5.939172 |
| 3 | 1-Aug-97 | 14.31172 | 5.415162 | 13.06766 | 12.58405 | 6.10839 |
| 4 | 1-Sep-97 | -2.62739 | -9.50521 | 4.180328 | -6.00114 | -6.97605 |
| 5 | 1-Oct-97 | 10.83401 | 9.592326 | -5.58615 | 1.270802 | 5.156892 |
| 6 | 1-Nov-97 | -1.20823 | -0.70022 | -0.33333 | 0.179265 | -4.25563 |
| 7 | 1-Dec-97 | -8.00688 | 10.23692 | -11.1204 | 7.217417 | 4.413641 |
| 8 | 1-Jan-98 | 6.896552 | -0.81103 | -30.0094 | -10.1252 | -1.30861 |
| 9 | 1-Feb-98 | -0.41824 | 8.503679 | 10.34946 | 19.83906 | 2.523061 |
| 10 | 1-Mar-98 | 17.14 | -2.52101 | -2.07065 | 7.592975 | 5.459818 |
| 11 | 1-Apr-98 | 2.11712 | 12.89185 | 30.0995 | 8.473356 | 3.717582 |
| 12 | 1-May-98 | 1.760057 | -0.41652 | -18.5468 | -0.84089 | 3.143211 |
| 13 | 1-Jun-98 | 3.741617 | -2.50618 | -10.7981 | -6.56104 | -2.45652 |
| 14 | 1-Jul-98 | -0.88465 | 10.02896 | 5.526316 | 30.61858 | 1.415543 |
| 15 | 1-Aug-98 | 3.833245 | -0.65811 | 10.72319 | -0.85939 | -2.89468 |
| 16 | 1-Sep-98 | -17.0466 | -7.60979 | -22.8604 | -6.63962 | -10.9177 |
| 17 | 1-Oct-98 | -4.77851 | -8.6357 | 31.38686 | 2.78546 | -2.48996 |
| 18 | 1-Nov-98 | 20.29924 | 17.07705 | 10.88889 | 1.691332 | 14.06637 |
| 19 | 1-Dec-98 | 10.07982 | 4.292582 | 23.34669 | 22.37762 | 4.909059 |
| 20 | 1-Jan-99 | 2.512648 | 11.95258 | 16.8156 | 7.088803 | 0.524331 |
| 21 | 1-Feb-99 | 30.48698 | 1.411765 | 37.06537 | 24.70436 | 1.789155 |
| 22 | 1-Mar-99 | -10.9758 | -1.23312 | -7.10299 | -12.2586 | -0.22385 |
| 23 | 1-Apr-99 | 5.181951 | 10.58264 | -29.4921 | 22.1695 | 5.444954 |
| 24 | 1-May-99 | 9.7295 | -4.24731 | 0.929512 | -13.8203 | 12.02318 |
| 25 | 1-Jun-99 | -8.76355 | -2.89773 | -2.14889 | -1.72759 | -3.79884 |
| 26 | 1-Jul-99 | -1.99462 | 8.718549 | 48.07843 | 16.16561 | 4.437037 |
| 27 | 1-Aug-99 | -8.50214 | -2.12594 | 0.95339 | -6.99638 | -3.79942 |
| 28 | 1-Sep-99 | 7.967033 | 5.396384 | -1.15425 | 8.925834 | 2.742073 |
| 29 | 1-Oct-99 | -4.35564 | 3.246239 | 20.11677 | -2.59796 | -6.07869 |
| 30 | 1-Nov-99 | 10.44177 | 11.29857 | 13.07998 | 2.667259 | 3.655407 |
| 31 | 1-Dec-99 | 5.367273 | 4.012059 | 38.10082 | 0.876813 | 3.285621 |
| 32 | 1-Jan-00 | 5.300939 | 11.46042 | 67.11941 | 25.0778 | 3.265296 |
| 33 | 1-Feb-00 | 14.2302 | -8.34167 | -8.56756 | -11.685 | -2.78644 |
| 34 | 1-Mar-00 | -12.9032 | -3.39731 | 32.40741 | -11.7836 | -8.17975 |
| 35 | 1-Apr-00 | 16.44444 | 20.82667 | 7.524476 | 0.077084 | 10.69253 |
| 36 | 1-May-00 | 9.291357 | 1.323001 | 3.655047 | -19.1901 | -3.65481 |
| 37 | 1-Jun-00 | -24.6844 | -1.39307 | -2.2713 | -12.0915 | -1.47598 |
In: Finance
One page Executive summary about the Waste management Scandel of 1998. From an Audit stand point.
In: Accounting
A report recently stated that human activities are estimated to have caused approximately 1.0°C of global warming above pre-industrial levels on average, with a 66% confidence interval of 0.8°C to 1.2°C. Assume that the report relied on a sample of 100 global temperatures from 1998 to 2017 to calculate the sample average of 1.0°C (x ̅), and that the standard deviation of the population of global temperatures from 1998 to 2017 is known (σ).
a. What is the approximate distribution of X ̅? What is the standard normal critical value used to create a 66% confidence interval centered at zero?
b. That is, solve for z, where Pr(-z≤Z≤z)=66%. (Note: solve for z to the nearest hundredth; do not interpolate in an effort to get a more precise answer.)
c. Using the answers to a. and b., solve for σ. Having solved for σ, what is the 95% confidence interval for the population mean of global temperatures from 1998 to 2017?
In: Statistics and Probability
QUESTION 4
The difference between nominal and real is
|
nominal is a number stated in dollars and real is stated with an index number. |
||
|
real is measured in current dollars and nominal is measured in dollars of a given year. |
||
|
real is a number stated in dollars and nominal is stated with an index number. |
||
|
nominal is measured in current dollars and real is measured in dollars of a given year. |
2 points
QUESTION 5
In 1998 the price of gas was $0.99 per gallon and CPI was 160. Today the price of gas is $2.20 per gallon and CPI is 259.
Round to two decimal places.
What is the 1998 price of gas measured in todays dollars? $
What is todays price of gas measured in 1998 dollars? $
8 points
QUESTION 6
The real interest rate equals the
|
nominal interest rate divided by 100. |
||
|
nominal interest rate minus the inflation rate. |
||
|
nominal interest rate multiplied by 100. |
||
|
nominal interest rate divided by the inflation rate and then multiplied by 100. |
In: Economics
Concur Technologies, Inc., is a large expense-management company located in Redmond, Washington. The Wall Street Journal asked Concur to examine the data from 8.3 million expense reports to provide insights regarding business travel expenses. Their analysis of the data showed that New York was the most expensive city, with an average daily hotel room rate of $198 and an average amount spent on entertainment, including group meals and tickets for shows, sports, and other events, of $172. In comparison, the U.S. averages for these two categories were $89 for the room rate and $99 for entertainment. The table in the Excel Online file below shows the average daily hotel room rate and the amount spent on entertainment for a random sample of 9 of the 25 most visited U.S. cities (The Wall Street Journal, August 18, 2011). Construct a spreadsheet to answer the following questions.
| City | Hotel Room Rate ($) | Entertainment ($) |
| Boston | 144 | 163 |
| Denver | 100 | 104 |
| Nashville | 93 | 102 |
| New Orleans | 111 | 140 |
| Phoenix | 89 | 100 |
| San Diego | 105 | 121 |
| San Francisco | 134 | 165 |
| San Jose | 87 | 140 |
| Tampa | 82 | 97 |
What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?
The scatter diagram indicates a _________negativepositive linear relationship between the hotel room rate and the amount spent on entertainment.
Develop the least squares estimated regression equation.
(to 4 decimals)
Provide an interpretation for the slope of the estimated regression equation (to 3 decimals).
The slope of the estimated regression line is approximately . So, for every dollar _________increasedecrease in the hotel room rate the amount spent on entertainment increases by $.
The average room rate in Chicago is $128, considerably higher than the U.S. average. Predict the entertainment expense per day for Chicago (to whole number).
In: Economics
The Sunbeam Corporation file bankruptcy in 1998, what are three substantive concepts that an auditor can learn from their mistakes.
In: Operations Management
|
Year |
Microsoft (%) |
Market Portfolio (%) |
|
1989 |
80.95 |
31.49 |
|
1990 |
-47.37 |
-3.17 |
|
1991 |
31 |
30.57 |
|
1992 |
132.44 |
7.58 |
|
1993 |
32.02 |
10.36 |
|
1994 |
25.37 |
2.55 |
|
1995 |
-28.57 |
37.57 |
|
1996 |
0.00 |
22.68 |
|
1997 |
11.67 |
33.10 |
|
1998 |
36.19 |
28.32 |
In: Finance
In 300 words or less answer the
following:
What factors most affect the demand for entertainment? Do these
factors differ across the entertainment areas of movies, sports,
music, broadcast(TV and Radio), gaming and if so, explain how they
differ. Have these factors changed over the last decade and if so,
how?
In: Economics
In: Finance