Ms Scott arrives in the ED by car. She reports having been at the park with her spouse and children when she suddenly started having severe shortness of breath….
1. You need to quickly gather information. What questions do you ask?
2. What assessments do you want to make?
Ms Scott tells you that she has no previously known allergies. On her arm you note a small area that looks like a sting or bite. She quickly remembers that she was stung by a bee in the park and had forgotten because of her concern over her difficulty breathing. Your assessment reveals swelling of the lips/tongue, RR 28 and shallow, 02 sat 88%. Her lung sounds reveal wheezes throughout and you hear a faint, high pitched wheeze coming from her upper airway.
3. What do you need to do first?
4. What orders would you like? Why?
The ED healthcare provider comes in to quickly assess and orders:
5. What is the reasoning for these orders?
After a dose of epinephrine, Solu-Medrol, and a bronchodilator, Ms. Scott begins to improve. Later that day, they decide to discharge her to home with a prescription for an epi pen.
6. What do you absolutely need to teach her before she leaves?
7. What other things would you like to teach her?
In: Nursing
An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use = .05. Factor A is method of loading and unloading; Factor B is the type of ride.
| Type of Ride | |||
| Roller Coaster | Screaming Demon | Long Flume | |
| Method 1 | 45 | 51 | 53 |
| 47 | 43 | 49 | |
| Method 2 | 47 | 55 | 48 |
| 49 | 51 | 44 | |
| Source of Variation | Sum of Squares | Degrees of Freedom | Mean Square | F | p-value |
| Factor A | |||||
| Factor B | |||||
| Interaction | |||||
| Error | |||||
| Total |
In: Statistics and Probability
The Walt Disney Company is planning to add a new rollercoaster to its park in Anaheim, California. The cost to purchase and build this rollercoaster will be $12,000,000 and will cost $80,000 in maintenance every year. Disney will also assign staff to organize lines and guide visitors through these rollercoasters. The salary of the staff is expected to be $100,000 every 6 months. After 10 years of operation, the rollercoaster equipment needs to be remodeled at a cost of $1,000,000. During remodeling, it will be unavailable to visitors for 6 months. The rollercoaster will be operational for another 9.5 years, after which it will be considered obsolete. Its estimated salvage value at that time is $1,500,000.
The management of the Disneyland estimates that the rollercoaster will attract 20,000 people in the first six months of operation, and that this figure will grow by 3% per semester (6 months). Assume that during the major upgrade, the number of additional visitors is zero and that the number of visitors after the rollercoaster starts again is the same number as immediately before the major upgrade (the growth rate remains 3%). The benefit per visitor is $10.50 and the interest rate is 7% per year compounded semi- annually.
a) Draw the cash-flow diagram.
b) What is the benefit (in today’s $$) of this investment?
c) What is the cost to Walt Disney company (in today’s $$)?
d) Determine the benefit-cost ratio. Should the Walt Disney management pursue the investment?
e) In case the management should not pursue it, what would be the minimum required benefit per visitor such that the investment can be considered profitable?
THESE IS ALL THE INFORMATION NECESSARY TO COMPLETE THE PROBLEM. THERE IS NO OTHER NECESSARY INFO
In: Accounting
|
An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use = .05. Factor A is method of loading and unloading; Factor B is the type of ride.
The p-value for Factor A is Selectless than .01between .01 and .025between .025 and
.05between .05 and .10greater than .10Item 21 The p-value for Factor B is Selectless than .01between .01 and .025between .025 and
.05between .05 and .10greater than .10Item 23 The p-value for the interaction of factors A and B is Selectless than .01between .01 and .025between .025 and
.05between .05 and .10greater than .10Item 25 What is your recommendation to the amusement park? |
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In: Statistics and Probability
Some geysers such as Old Faithful in Yellowstone National Park are remarkably consistent in the periodicity of their eruption. For example, in 1988, 6,900 timed intervals between eruptions for Old Faithful averaged 76.17 minutes, with the shortest observed interval 41 minutes and the longest 114 minutes. In the past 120 years Old Faithful's yearly average interval has always been between 60 and 79 minutes.
It is also well known that the relationship between the length of the eruption and the length of the subsequent interval duration is a positive one. Suppose the following data were collected over a several day period.
1: Compute r, the Pearson correlation coefficient
2: At the 0.05 level of significance, test the null hypothesis that the (“eruption time” and the “interval duration”) population correlation coefficient [ρ] is equal to 0.
3: Compute and use the regression equation you came up with in the previous part (namely “f”) to predict the “interval duration” for an “eruption time” of 6 minutes.
|
Observation |
Eruption time (min) |
Interval duration (min) |
|
1 |
1.5 |
50 |
|
2 |
2.1 |
56 |
|
3 |
2.4 |
65 |
|
4 |
3.2 |
71 |
|
5 |
2.9 |
70 |
|
6 |
2.5 |
66 |
|
7 |
2.2 |
57 |
|
8 |
3.5 |
76 |
|
9 |
3.0 |
69 |
|
10 |
3.5 |
76 |
|
11 |
4.1 |
82 |
|
12 |
2.0 |
57 |
|
13 |
4.6 |
89 |
|
14 |
2.8 |
70 |
|
15 |
5.0 |
95 |
|
16 |
3.6 |
75 |
|
17 |
4.0 |
80 |
|
18 |
2.4 |
67 |
|
19 |
3.5 |
77 |
|
20 |
4.9 |
94 |
In: Statistics and Probability
Suzy’s Cool Treatz is a snow cone stand near the local park. To plan for the future, the owner wants to determine her cost behavior patterns. She has the following information available about her operating costs and the number of snow cones served.
|
Month |
Number of snow cones |
Total operating costs |
|
January |
3,500 |
$5,000 |
|
February |
3,800 |
$4,800 |
|
March |
5,000 |
$6,800 |
|
April |
3,600 |
$5,450 |
|
May |
4,700 |
$6,200 |
|
June |
4,250 |
$5,950 |
Suzy uses the high-low method to determine her operating cost equation. What are her estimated costs at 4,214 snow cones? When calculating the variable cost per unit, round your answer to two decimal places before completing your calculations. Do not use dollar signs, commas or decimals in your answer. Input your answer to the nearest whole number.
In: Accounting
An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use α = 0.05.
| Type of Ride | |||
|---|---|---|---|
| Roller Coaster | Screaming Demon | Log Flume | |
| Method 1 | 43 | 50 | 50 |
| 45 | 42 | 46 | |
| Method 2 | 47 | 52 | 48 |
| 49 | 48 | 44 | |
a) Find the value of the test statistic for method of loading and unloading.
Find the p-value for method of loading and unloading. (Round your answer to three decimal places.)
p-value =
b) Find the value of the test statistic for type of ride.
Find the p-value for type of ride. (Round your answer to three decimal places.)
p-value =
c) Find the value of the test statistic for interaction between method of loading and unloading and type of ride.
Find the p-value for interaction between method of loading and unloading and type of ride. (Round your answer to three decimal places.)
p-value =
In: Statistics and Probability
Lincoln Park Zoo in Chicago is considering a renovation that will improve some physical facilities at a cost of $1,800,000. Addition of new species will cost another $310,000. Additional maintenance, food, and animal care and replacement will cost $145,000 in the 1st year, increasing by 3 % each year thereafter. The zoo has been in operation since 1868 and is expected to continue indefinitely; however, it is common to use a 20-year planning horizon on all new investments. Salvage value on facilities after 20 years will be 40 % of initial cost. Interest is 7 %. An estimated 1.5 million visits per year are made to the zoo, and the cost remains free year-round. How much additional benefit per visit, on average, must the visitors perceive to justify the renovation? ..............$
Carry all interim calculations to 5 decimal places and then round your final answer to 2 decimal places. The tolerance is ±0.01.
In: Economics
Buckeye Creek Amusement Park is open from the beginning of May to the end of October. Buckeye Creek relies heavily on the sale of season passes. The sale of season passes brings in significant revenue prior to the park opening each season, and season pass holders contribute a substantial portion of the food, beverage, and novelty sales in the park. Greg Ross, director of marketing at Buckeye Creek, has been asked to develop a targeted marketing campaign to increase season pass sales. Greg has data for last season that show the number of season pass holders for each zip code within 50 miles of Buckeye Creek. he has also obtained the total population of each zip code from the U.S. Census bureau website. Greg thinks it may be possible to use regression analysis to predict the number of season pass holders in a zip code given the total population of a zip code. If this is possible, he could then conduct a direct mail campaign that would target zip codes that have fewer than the expected number of season pass holders.
1. Did the estimated regression equation provide a good fit?
2. Use residual analysis to determine whether the assumed regression model is appropriate.
3. Discuss if/how the estimated regression equation should be used to guide the marketing campaign.
4. What other data might be useful to predict the number of season pass holders in a zip code?
|
ZIP Code |
Population | Season Pass Holders |
| 45220 | 14171 | 224 |
| 45219 | 17576 | 42 |
| 45225 | 13437 | 15 |
| 45217 | 5731 | 78 |
| 45214 | 9952 | 19 |
| 45232 | 6913 | 28 |
| 45223 | 13349 | 83 |
| 45229 | 15713 | 75 |
| 45206 | 11353 | 69 |
| 45202 | 15105 | 83 |
| 45203 | 3411 | 9 |
| 45207 | 8233 | 8 |
| 41074 | 5566 | 36 |
| 41073 | 6193 | 63 |
| 45224 | 21043 | 207 |
| 41071 | 21596 | 133 |
| 45205 | 21683 | 102 |
| 45204 | 6642 | 36 |
| 41016 | 5603 | 42 |
| 45216 | 9028 | 55 |
| 45212 | 22356 | 207 |
| 41011 | 25849 | 193 |
| 41014 | 7913 | 41 |
| 45237 | 21137 | 86 |
| 45208 | 18236 | 424 |
| 45211 | 33968 | 342 |
| 45239 | 26485 | 269 |
| 41075 | 15868 | 236 |
| 45209 | 8941 | 111 |
| 45226 | 5029 | 84 |
| 45238 | 42737 | 564 |
| 45231 | 39939 | 361 |
| 45213 | 11683 | 153 |
| 45215 | 28915 | 308 |
| 45218 | 3917 | 54 |
| 41017 | 40218 | 493 |
| 41076 | 14779 | 176 |
| 45251 | 22887 | 205 |
| 45227 | 18431 | 215 |
| 45247 | 20372 | 357 |
| 41015 | 22298 | 189 |
| 45248 | 22880 | 380 |
| 45236 | 21823 | 310 |
| 45240 | 27033 | 142 |
| 45246 | 13522 | 100 |
| 45230 | 25763 | 423 |
| 45233 | 14175 | 244 |
| 45252 | 4799 | 58 |
| 41018 | 29001 | 244 |
| 45243 | 14755 | 303 |
| 45241 | 25623 | 299 |
| 45014 | 44178 | 307 |
| 45242 | 20015 | 377 |
| 45244 | 26316 | 448 |
| 41059 | 2266 | 22 |
| 41048 | 12597 | 214 |
| 41051 | 18730 | 323 |
| 45255 | 22552 | 307 |
| 45174 | 2072 | 52 |
| 41042 | 50429 | 440 |
| 45002 | 13298 | 184 |
| 45015 | 12504 | 47 |
| 45069 | 46264 | 561 |
| 45052 | 3770 | 52 |
| 45249 | 13432 | 154 |
| 41001 | 16982 | 164 |
| 41005 | 20892 | 209 |
| 45011 | 62303 | 496 |
| 45245 | 17701 | 189 |
| 41091 | 17372 | 226 |
| 45013 | 51730 | 286 |
| 45150 | 31179 | 316 |
| 41094 | 9748 | 106 |
| 45030 | 16386 | 192 |
| 45140 | 52874 | 657 |
| 41063 | 3662 | 19 |
| 45040 | 51183 | 549 |
| 45102 | 22009 | 217 |
| 45039 | 21398 | 278 |
| 41007 | 3215 | 26 |
| 45053 | 3441 | 25 |
| 45157 | 10312 | 72 |
| 45050 | 6988 | 80 |
| 41080 | 2114 | 11 |
| 45067 | 12507 | 62 |
| 45034 | 1227 | 11 |
| 45103 | 29874 | 267 |
| 47025 | 21986 | 154 |
| 45044 | 49621 | 322 |
| 41030 | 7280 | 35 |
| 41092 | 3198 | 18 |
| 45065 | 5194 | 35 |
| 41033 | 1712 | 11 |
| 47060 | 6910 | 38 |
| 41006 | 4835 | 19 |
| 45122 | 12550 | 59 |
| 45042 | 28821 | 91 |
| 45056 | 28811 | 88 |
| 45036 | 36066 | 225 |
| 45064 | 2376 | 9 |
| 47040 | 5242 | 10 |
| 45153 | 2132 | 10 |
| 45152 | 9686 | 101 |
| 47022 | 2740 | 17 |
| 47001 | 10370 | 36 |
| 45162 | 2900 | 11 |
| 45005 | 31944 | 93 |
| 41035 | 9671 | 54 |
| 45106 | 12675 | 61 |
| 45176 | 8485 | 47 |
| 45311 | 7381 | 10 |
| 41043 | 2968 | 7 |
| 45327 | 7961 | 13 |
| 41040 | 7249 | 14 |
| 45066 | 23119 | 129 |
| 41097 | 6854 | 22 |
| 45054 | 1730 | 12 |
| 41095 | 4218 | 11 |
| 45120 | 3774 | 20 |
| 45342 | 31929 | 55 |
| 47032 | 3628 | 10 |
| 45107 | 9608 | 40 |
| 47012 | 10579 | 23 |
| 45130 | 4202 | 17 |
| 45118 | 4239 | 23 |
| 41086 | 1602 | 5 |
| 47018 | 4435 | 12 |
| 45458 | 26281 | 75 |
| 45449 | 19237 | 15 |
| 45068 | 11293 | 28 |
| 47041 | 5544 | 18 |
| 45113 | 4118 | 16 |
| 45154 | 8093 | 41 |
| 45320 | 15282 | 8 |
| 45459 | 26744 | 39 |
| 47031 | 5179 | 12 |
| 41004 | 4311 | 9 |
| 41003 | 2397 | 5 |
| 41010 | 3321 | 5 |
| 41002 | 2104 | 6 |
| 45429 | 25537 | 39 |
| 45305 | 11159 | 16 |
| 45409 | 13554 | 9 |
| 45419 | 15782 | 33 |
| 45121 | 8919 | 26 |
| 45440 | 19463 | 25 |
| 45420 | 24393 | 20 |
| 45410 | 17025 | 7 |
| 45430 | 7137 | 7 |
| 45403 | 16794 | 8 |
| 45142 | 4973 | 10 |
In: Statistics and Probability
An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use . Factor A is method of loading and unloading; Factor B is the type of ride.
|
Type of Ride |
|||
|
Roller Coaster |
Screaming Demon |
Long Flume |
|
|
Method 1 |
42 |
54 |
46 |
|
44 |
46 |
42 |
|
|
Method 2 |
47 |
53 |
49 |
|
49 |
49 |
45 |
|
Set up the ANOVA table (to whole number, but -value to 2 decimals and value to 1 decimal, if necessary).
|
Source of Variation |
Sum of Squares |
Degrees of Freedom |
Mean Square |
-value |
|
|
Factor A |
|||||
|
Factor B |
|||||
|
Interaction |
|||||
|
Error |
|||||
|
Total |
In: Statistics and Probability