1. What are the key elements of a press release?
2. What are the objectives of a crisis management plan? Why is a crisis management plan integral to protecting the overall image of a sport-focused organization?
In: Psychology
Name three types of heat modified glass, provide their relative strengths, and an application in which each is generally used. For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac).
In: Civil Engineering
how would the competence-environmental press framework apply specifically to the various types of housing and nursing homes. what are specific examples including information related to physical, cognitive socioemotional development
In: Psychology
Assignment Purpose
The purpose of this lab is to write a well commented java program that demonstrates the use of two dimensional arrays, input validation, and methods. (Write by Java Code, Need Comment)
Instructions
Seat Ticket Price
10 10 10 10 10 10 10 10 10 10
10 10 10 10 10 10 10 10 10 10
10 10 10 10 10 10 10 10 10 10
10 10 20 20 20 20 20 20 10 10
10 10 20 20 20 20 20 20 10 10
10 10 20 20 20 20 20 20 10 10
20 20 30 30 40 40 30 30 20 20
20 40 50 50 50 50 50 50 40 20
80 50 50 80 80 80 80 50 50 30
Seating Arrangement: Seats No.
1 2 3 4 5 6 7 8 9 10
11 12 13 14 15 16 17 18 19 20
21 22 23 24 25 26 27 28 29 30
31 32 33 34 35 36 37 38 39 40
41 42 43 44 45 46 47 48 49 50
51 52 53 54 55 56 57 58 59 60
61 62 63 64 65 66 67 68 69 70
71 72 73 74 75 76 77 78 79 80
81 82 83 84 85 86 87 88 89 90
Hint: Basically, you will search the 2D array for the input price, and as soon as you find a matching price, you will replace the price at that location with a 0.
Sample output 1
Please pick a price or press Q to quit: 80
Checking for the availability……
Your seat is confirmed! Your seat number is 81. Enjoy your movie
Please pick a price or press Q to quit: 80
Checking for the availability……
No seat at this price is available. Sorry!
Please pick a price or press Q to quit: Q
Thank you for using our online ticketing
service. Goodbye!
Sample output 2
Please pick a price or press Q to quit: 10
Checking for the availability……
Your seat is confirmed! Your seat number is 1. Enjoy your movie
Please pick a price or press Q to quit: 20
Checking for the availability……
Your seat is confirmed! Your seat number is 33. Enjoy your movie
Please pick a price or press Q to quit: 20
Checking for the availability……
Your seat is confirmed! Your seat number is 34. Enjoy your movie
Please pick a price or press Q to quit: 200
Please pick a valid price. Valid prices are $10, $20, $30, $40, $50, and $80
Please pick a price or press Q to quit: Q
Thank you for using our online ticketing service. Goodbye!
In: Computer Science
In the book Business Research Methods, Donald R. Cooper and C. William Emory (1995) discuss a manager who wishes to compare the effectiveness of two methods for training new salespeople. The authors describe the situation as follows: The company selects 22 sales trainees who are randomly divided into two equal experimental groups—one receives type A and the other type B training. The salespeople are then assigned and managed without regard to the training they have received. At the year’s end, the manager reviews the performances of salespeople in these groups and finds the following results: A Group B Group Average Weekly Sales x¯1 = $1,593 x¯2 = $1,017 Standard Deviation s1 = 209 s2 = 255 (a) Set up the null and alternative hypotheses needed to attempt to establish that type A training results in higher mean weekly sales than does type B training. H0: µA - µB = versus Ha: µA - µB > (b) Because different sales trainees are assigned to the two experimental groups, it is reasonable to believe that the two samples are independent. Assuming that the normality assumption holds, and using the equal variances procedure, test the hypotheses you set up in part a at level of significance .10, .05, .01 and .001. How much evidence is there that type A training produces results that are superior to those of type B? (Round your answer to 3 decimal places.) t = H0 with alpha equal to .10. H0 with alpha equal to .05 H0 with alpha equal to .01 H0 with alpha equal to .001 evidence that µA - µ B > 0 (c) Use the equal variances procedure to calculate a 95 percent confidence interval for the difference between the mean weekly sales obtained when type A training is used and the mean weekly sales obtained when type B training is used. Interpret this interval. (Round your answer to 2 decimal places.) Confidence interval [ , ]
In: Statistics and Probability
From 1995-2010, the real exchange rate between the Australian dollar and the U.S.
dollar (measured as the price of U.S. goods divided by the price of Australian goods)
fell at an average rate of 5% per year. Over the same period, the average annual rate
of inflation in Australia exceeded U.S. inflation by 2% per year. Given this
information, what was the average annual percentage change in the nominal exchange
rate between the two currencies, expressed as Australian dollars per U.S. dollar?
Show your work and any formulas you use.
In: Economics
In the book Business Research Methods, Donald R. Cooper and C. William Emory (1995) discuss a manager who wishes to compare the effectiveness of two methods for training new salespeople. The authors describe the situation as follows: The company selects 22 sales trainees who are randomly divided into two equal experimental groups—one receives type A and the other type B training. The salespeople are then assigned and managed without regard to the training they have received. At the year’s end, the manager reviews the performances of salespeople in these groups and finds the following results: A Group B Group Average Weekly Sales x¯1 = $1,587 x¯2 = $1,083 Standard Deviation s1 = 205 s2 = 283
| (a) |
Set up the null and alternative hypotheses needed to attempt to establish that type A training results in higher mean weekly sales than does type B training. |
| (b) |
Because different sales trainees are assigned to the two experimental groups, it is reasonable to believe that the two samples are independent. Assuming that the normality assumption holds, and using the equal variances procedure, test the hypotheses you set up in part a at level of significance .10, .05, .01 and .001. How much evidence is there that type A training produces results that are superior to those of type B? (Round your answer to 3 decimal places.) |
| (c) |
Use the equal variances procedure to calculate a 95 percent confidence interval for the difference between the mean weekly sales obtained when type A training is used and the mean weekly sales obtained when type B training is used. Interpret this interval. (Round your answer to 2 decimal places.) |
In: Statistics and Probability
In the book Business Research Methods, Donald R. Cooper and C. William Emory (1995) discuss a manager who wishes to compare the effectiveness of two methods for training new salespeople. The authors describe the situation as follows:
The company selects 22 sales trainees who are randomly divided into two equal experimental groups—one receives type A and the other type B training. The salespeople are then assigned and managed without regard to the training they have received. At the year’s end, the manager reviews the performances of salespeople in these groups and finds the following results:
| A Group | B Group | |
| Average Weekly Sales | x¯1x¯1 = $1,391 | x¯2x¯2 = $1,249 |
| Standard Deviation | s1 = 201 | s2 = 265 |
(a) Set up the null and alternative hypotheses needed to attempt to establish that type A training results in higher mean weekly sales than does type B training.
H0: µA -
µB = versus Ha:
µA -
µB >
(b) Because different sales trainees are assigned to the two experimental groups, it is reasonable to believe that the two samples are independent. Assuming that the normality assumption holds, and using the equal variances procedure, test the hypotheses you set up in part a at level of significance .10, .05, .01 and .001. How much evidence is there that type A training produces results that are superior to those of type B? (Round your answer to 3 decimal places.)
| t = |
| (Click to select)Do not reject or Reject H0 with alpha equal to .10. |
| (Click to select)Do not reject or Reject H0 with alpha equal to .05 |
| (Click to select)Do not reject or Reject H0 with alpha equal to .01 |
| (Click to select)Do not reject or Reject H0 with alpha equal to .001 |
| (Click to select)Very strong,NoStrong, Weak, Extremely strong evidence that µA - µ B > 0 |
(c) Use the equal variances procedure to calculate a 95 percent confidence interval for the difference between the mean weekly sales obtained when type A training is used and the mean weekly sales obtained when type B training is used. Interpret this interval. (Round your answer to 2 decimal places.)
Confidence interval [, ]
In: Statistics and Probability
In June 1995 Clyde Prestowitz (Trading Places) of the Economic Strategy Institute made the following statement to a Senate subcommittee: “Trade deficits of the size America is presently running with Japan and the rest of the world matter decisively to American prosperity. By limiting the exports of highly competitive American companies, the foreign barriers in large measure responsible for these deficits hold down investment in the export industry.” Use the long run model of a small open economy. Comment on what you find accurate and inaccurate about this statement.
In: Economics
1. In 1995, the Food and Drug Administration (FDA) published new labeling standards for bottled water. (The full text of the final rule can be found at http://cfr.vlex.com/vid/165-110-bottled-water-19705533.) Prior to that time, bottlers could sell regular tap water under a bottled water label. In fact, the FDA estimated that approximately 25 percent of the supply of bottled water was nothing more than ordinary tap water.
(a) Consider how these tougher standards eliminated 25 percent of the supply of bottled water. If market demand is unaffected, what qualitative impact would this labeling change have on equilibrium price and quantity for bottled water? Support your answer with a graphical model.
(b) Let the market demand and market supply equations are QD = −100P+ 1, 150 and QS = 400P − 100. How much of bottled water would be supplied in a static efficient allocation and at what price?
Now, suppose the change in standards results in a new market supply of QS new = 400P − 350 with no change in market demand.
(c) Determine the new static efficient allocation for bottled water and new market price. Do your results agree with your intuitive answer to part (a)? (d) Graphically illustrate the market for bottled water before and after the change in labeling standards. Be sure to label all relevant points.
(e) Compare the values of consumer surplus and producer surplus before and after the change in labeling standards. Is this result expected? Why or why not?
In: Economics