Questions
Explain the attraction of gaming entertainment to the destination of a tourist. How are hotel operations...

  1. Explain the attraction of gaming entertainment to the destination of a tourist.

  2. How are hotel operations in a gaming entertainment business different from hotel operations in a nongaming environment?

  3. List the duties of CVBs.

  4. 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...

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.

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...

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...

QUESTION 4

  1. 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

  1. 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

  1. 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 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
  1. 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.

  2. Develop the least squares estimated regression equation.

         (to 4 decimals)

  3. 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 $.

  4. 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...

The Sunbeam Corporation file bankruptcy in 1998, what are three substantive concepts that an auditor can learn from their mistakes.

In: Operations Management

The following table lists returns on the market portfolio and on Microsoft, each year from 1989...

  • The following table lists returns on the market portfolio and on Microsoft, each year from 1989 to 1998.

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

  • A) Estimate the covariance in returns between Microsoft and the market portfolio.
  • B) Estimate the variances in returns on both investments.
  • C) Estimate the beta for Microsoft.

In: Finance

In 300 words or less answer the following: What factors most affect the demand for entertainment?...

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

Importance of Product Placement Today, it is rare to consume entertainment content without spotting a brand...

  • Importance of Product Placement
    • Today, it is rare to consume entertainment content without spotting a brand in the content.
    • Product placements permeate the entertainment world: from books to video games, to movies, TV series, and music videos, as well as within social media content.
    • The growth of the practice of product placement has significantly outpaced that of traditional advertising (PQ Media 2018).
  • What Product Placement Actually Is?
    • Current definitions of product placement may have limited the scope and directionality of the research questions addressed to date.
    • Most definitions conceptualize that brands capitalize on the entertainment content’s cultural references, for instance, through the degree to which a product is linked to a positive or negative character in the story (Russell and Stern 2006; Knoll et al. 2015), its connection to the storyline, and fit/congruence with the context (Gillespie, Muehling, and Kareklas 2018). Yet product placement functions much like celebrity endorsement; as illustrated in the well-known meaning transfer model (McCracken 1986; Bergkvist and Zhou 2016), brands gain (or lose) from the content but also bring their own cultural meaning to it.
  • Narrative Transportation
    • While the extant product placement research has understandably focused on effects at the product/brand level, the symbiotic interrelationships between product placements and their entertainment context make it essential to assess how placements affect the entertainment experience.
    • Given that a positive experience of entertainment is a crucial condition for product placement effects, researchers and practitioners alike must know whether the presence of placements affects the viewers’ enjoyment or the ability of the entertainment context to carry impactful messages.
      • Narrative transportation is a central mediator of the persuasiveness of entertainment content (Green and Brock 2000):
        • "Whenever viewers depart from normal reality to get transported into an imagined world of the story, this mental state of attention, imagery, and feelings makes them more open to attitude change. "
        • Early product placement research focused on the ability of real brands to increase verisimilitude and thus contribute to the transportability of a narrative, which would resemble the real world (Avery and Ferraro 2000).
      • However, if a product placement is incongruous or inconsistent with the storyline or character with which it is associated, its presence may hinder or halt transportation. This mutual relationship between transportation as a driver of placement effects and placement presence as a potential enhancer or distractor of the transportability of a narrative is ripe for further investigation.
  • Discussion Questions
    • What is narrative transportation, in your opinion?
    • Based on your experience, how is the entertainment experience (which is narrative transportation) affected by the inclusion of product placement? Please explain.
    • In what ways is the entertainment content (characters, storyline, realism, perceived commercialism) affected by the inclusion of product placements?
    • (Optional) How do audiences respond to multiple placements associated with the same story/character? Does the temporal order of placements within the same story matter in terms of their impact?

In: Finance