| STARS | Region_ID |
| 5 | 1 |
| 5 | 1 |
| 5 | 1 |
| 5 | 1 |
| 5 | 1 |
| 5 | 1 |
| 5 | 1 |
| 4 | 1 |
| 4 | 1 |
| 4 | 1 |
| 4 | 1 |
| 4 | 1 |
| 4 | 1 |
| 3 | 1 |
| 3 | 1 |
| 3 | 1 |
| 3 | 1 |
| 3 | 1 |
| 2 | 1 |
| 1 | 1 |
| 4 | 1 |
| 4 | 1 |
| 3 | 1 |
| 3 | 1 |
| 3 | 1 |
| 2 | 1 |
| 2 | 1 |
| 2 | 1 |
| 2 | 1 |
| 1 | 1 |
| 4 | 1 |
| 3 | 1 |
| 2 | 1 |
| 2 | 1 |
| 1 | 1 |
| 1 | 1 |
| 2 | 1 |
| 1 | 1 |
| 1 | 1 |
| 1 | 1 |
| 1 | 1 |
| 1 | 1 |
| 3 | 1 |
| 4 | 1 |
| 2 | 1 |
| 5 | 2 |
| 5 | 2 |
| 5 | 2 |
| 5 | 2 |
| 4 | 2 |
| 4 | 2 |
| 4 | 2 |
| 4 | 2 |
| 4 | 2 |
| 4 | 2 |
| 3 | 2 |
| 3 | 2 |
| 5 | 2 |
| 4 | 2 |
| 3 | 2 |
| 3 | 2 |
| 3 | 2 |
| 5 | 2 |
| 4 | 2 |
| 3 | 2 |
| 3 | 2 |
| 3 | 2 |
| 2 | 2 |
| 2 | 2 |
| 1 | 2 |
| 3 | 2 |
| 2 | 2 |
| 1 | 2 |
| 2 | 2 |
| 2 | 2 |
| 1 | 2 |
| 1 | 2 |
| 1 | 2 |
| 1 | 2 |
| 3 | 2 |
| 2 | 2 |
| 1 | 2 |
| 1 | 2 |
| 1 | 2 |
| 1 | 2 |
| 4 | 2 |
| 4 | 2 |
| 2 | 2 |
| 2 | 2 |
| 2 | 2 |
| 5 | 3 |
| 5 | 3 |
| 5 | 3 |
| 5 | 3 |
| 5 | 3 |
| 5 | 3 |
| 5 | 3 |
| 5 | 3 |
| 5 | 3 |
| 5 | 3 |
| 4 | 3 |
| 4 | 3 |
| 4 | 3 |
| 4 | 3 |
| 3 | 3 |
| 4 | 3 |
| 4 | 3 |
| 4 | 3 |
| 3 | 3 |
| 3 | 3 |
| 3 | 3 |
| 3 | 3 |
| 3 | 3 |
| 3 | 3 |
| 3 | 3 |
| 3 | 3 |
| 2 | 3 |
| 2 | 3 |
| 2 | 3 |
| 2 | 3 |
| 2 | 3 |
| 4 | 3 |
| 2 | 3 |
| 2 | 3 |
| 2 | 3 |
| 2 | 3 |
| 1 | 3 |
| 1 | 3 |
| 2 | 3 |
| 3 | 3 |
| 1 | 3 |
| 1 | 3 |
| 1 | 3 |
| 1 | 3 |
| 1 | 3 |
REGION ID
1= Crete
2=Southern Aegean Islands
3=Ionian Islands
George who is the General Director of the Research Institute for
Tourism in Greece, believes that the percentage composition of 5
Stars hotels is not the same in Crete and elsewhere (Southern
Aegean Islands and Ionian Islands). In order to test this
statement, create two additional binary variables as follows:
5STARS: Yes (Code 1) when STARS = 5; No (Code 0) when STARS ≠
5.
CRETE: Yes (Code 1) when Region_ID = 1; No (Code 0) when Region_ID
≠ 1.
3.1 State the null and the alternative hypotheses.
3.2 Test the null hypothesis at α = 5%.
3.3 What is your conclusion?
3.4 Let π1 denote the population proportion of 5 stars hotels in
Crete and π2 the population proportion of 5 stars hotels elsewhere.
Set up a symmetric 95% confidence interval estimate of the
difference (π1 - π2). What is your main conclusion?
In: Statistics and Probability
Let C be the following matrix:
C=( 1 2 3 -2
0 1 1 -2
-1 3 2 -8
-1 -2 -3 2 )
Give a basis for the row space of Cin the format [1,2,3],[3,4,5],
for example.
In: Math
Using a regression model in excel to understand the factors that contribute to customer satisfaction and spending. Refer to the data provided to identify what variables are significant to predicting overall satisfaction. Develop and interpret the prediction equation and the coefficient of determination. Based on the data, what areas should the business focus on to improve customer satisfaction?
| Dine In (1)/Take Out (2) | Satisfaction with Service | Satisfaction with Food | Overall Satisfaction | Driving Distance to Restaurant | Total Bill |
| 1 | 4 | 4 | 4 | 5 | 10 |
| 1 | 2 | 3 | 3 | 5 | 15 |
| 1 | 3 | 3 | 3 | 10 | 10 |
| 1 | 5 | 5 | 5 | 12 | 15 |
| 2 | 3 | 4 | 3 | 10 | 25 |
| 2 | 2 | 4 | 3 | 15 | 25 |
| 2 | 3 | 4 | 3 | 10 | 26 |
| 1 | 4 | 3 | 3 | 16 | 27 |
| 2 | 3 | 3 | 3 | 2 | 25 |
| 1 | 2 | 3 | 2 | 10 | 26 |
| 2 | 1 | 3 | 2 | 15 | 20 |
| 2 | 2 | 2 | 2 | 10 | 20 |
| 1 | 5 | 4 | 4 | 12 | 20 |
| 1 | 4 | 5 | 4 | 16 | 20 |
| 1 | 4 | 5 | 4 | 18 | 20 |
| 1 | 3 | 4 | 3 | 20 | 27 |
| 1 | 4 | 3 | 4 | 18 | 28 |
| 2 | 3 | 4 | 3 | 20 | 28 |
| 2 | 3 | 4 | 3 | 16 | 28 |
| 1 | 4 | 5 | 4 | 7 | 12 |
| 2 | 4 | 5 | 4 | 9 | 20 |
| 1 | 2 | 3 | 3 | 10 | 24 |
| 2 | 3 | 5 | 4 | 6 | 26 |
| 2 | 3 | 4 | 3 | 10 | 28 |
| 1 | 3 | 4 | 3 | 9 | 27 |
| 2 | 4 | 5 | 4 | 8 | 24 |
| 2 | 3 | 3 | 3 | 10 | 22 |
| 1 | 4 | 4 | 4 | 6 | 23 |
| 2 | 3 | 4 | 4 | 10 | 25 |
| 1 | 4 | 5 | 4 | 10 | 20 |
| 2 | 2 | 3 | 2 | 15 | 20 |
| 2 | 2 | 2 | 2 | 16 | 20 |
| 1 | 4 | 4 | 4 | 18 | 20 |
| 2 | 3 | 2 | 3 | 16 | 20 |
| 2 | 3 | 3 | 3 | 14 | 25 |
| 1 | 3 | 3 | 3 | 20 | 22 |
| 1 | 3 | 3 | 3 | 16 | 23 |
| 1 | 4 | 5 | 4 | 17 | 28 |
| 2 | 3 | 3 | 3 | 16 | 23 |
| 2 | 3 | 4 | 3 | 5 | 15 |
| 1 | 4 | 4 | 4 | 10 | 28 |
| 2 | 3 | 3 | 3 | 6 | 24 |
| 2 | 2 | 3 | 2 | 10 | 27 |
| 1 | 3 | 3 | 3 | 6 | 26 |
| 2 | 4 | 4 | 4 | 7 | 28 |
| 1 | 2 | 3 | 2 | 6 | 24 |
| 2 | 4 | 5 | 4 | 8 | 22 |
| 1 | 4 | 5 | 4 | 6 | 23 |
| 1 | 5 | 5 | 5 | 8 | 20 |
In: Statistics and Probability
14. Suppose the production function for cars is ? = 4??^(1/4)?^(3/4)?. The cost of capital is $10 per hour, and the
wage for labor is $15 per hour. If the company wants to produce
1000 cars, what combination of capital and labor should it
use:
a. 50 units of capital, 25 units of labor
b. 25 units of capital, 50 units of labor
c. 12.9 units of capital, 58 .1units of labor
d. 148.7 units of capita, 297.3 units of labor
In: Economics
Table 1
|
Country A |
Country B |
|
|
Textiles |
4 |
4 |
|
Soybeans |
4 |
5 |
The numbers in the table indicate the number of hours required to produce 1 unit of the good
Question 15 to 19: please refer to Table 1
Question 15
|
Who has the absolute advantage at Soybeans, and why? |
4 Points |
a.) Country B, since PS,A/PT,A=1 and PS,B/PT,B=⅘
b.) Country A, since PS,A/PT,A=1 and PS,B/PT,B=5/4
c.) Country A, since the number of hours required to make soybeans in A is lower than in B
d.) Neither Country A nor Country B, since the the number of hours required to make soybeans in A is equal to the number of hours required in B
Question 16
|
Who has the comparative advantage at Soybeans, and why? |
4 Points |
a.) Country B, since PS,A/PT,A=1 and PS,B/PT,B=⅘
b.) Country A, since PS,A/PT,A=1 and PS,B/PT,B=5/4
c.) Country B, since the number of hours required to make soybeans in B is lower than in A
d.) Neither Country A nor Country B, since the the number of hours required to make soybeans in A is equal to the number of hours required in B
Question 17
|
What is PT in Autarky? |
4 Points |
a.) PT,B=5wB in Country B, and PT,A=4wA in Country A
b.) PT,B=4 in Country B, and PT,A=4 in Country A
c.) PT,B=4wB in Country B, and PT,A=4wA in Country A
d.) PT,B=⅘ in Country B, and PT,A=1 in Country A
Question 18
|
The Terms of Trade (PS/PT) can be equal to 0.9 when Country A and Country B open up to trade |
4 Points |
a.) True
b.) False
c.) Not enough information
d.) Too much information!?
Question 19
|
What are the per-unit gains of specialization based on comparative advantage? |
4 Points |
a.) Soybeans: +0.25, Textiles: 0
b.) Soybeans: 0, Textiles +0.25
c.) Soybeans: +1, Textiles +5/4
d.) Soybeans: -1, Textiles +0.25
In: Economics
Pick 4 antibiotics drugs and write
1) drug name
2)therapeutic/pharmacologic class
3)Indication/ use
4)Adverse/side effects
5)nursing considerations
In: Nursing
Problem 1-24A Cost Classification and Cost Behavior [LO1-1, LO1-2, LO1-3, LO1-4] The Dorilane Company specializes in producing a set of wood patio furniture consisting of a table and four chairs. The set enjoys great popularity, and the company has ample orders to keep production going at its full capacity of 4,200 sets per year. Annual cost data at full capacity follow: Direct labor $ 92,000 Advertising $ 99,000 Factory supervision $ 67,000 Property taxes, factory building $ 18,000 Sales commissions $ 65,000 Insurance, factory $ 6,000 Depreciation, administrative office equipment $ 2,000 Lease cost, factory equipment $ 17,000 Indirect materials, factory $ 20,000 Depreciation, factory building $ 108,000 Administrative office supplies (billing) $ 5,000 Administrative office salaries $ 114,000 Direct materials used (wood, bolts, etc.) $ 426,000 Utilities, factory $ 43,000 Required: 1. Enter the dollar amount of each cost item under the appropriate headings. Note that each cost item is classified in two ways: first, as variable or fixed with respect to the number of units produced and sold; and second, as a selling and administrative cost or a product cost. (If the item is a product cost, it should also be classified as either direct or indirect.) 2. Compute the average product cost of one patio set. (Round your answer to nearest whole dollar.) 3. Assume that production drops to only 1,000 sets annually. Would you expect the average product cost per set to increase, decrease, or remain unchanged? Increase Decrease Remain unchanged
In: Accounting
According to The Aldol Addition and Condensation: The Effect of Conditions on Reaction Pathways for 3-Hydroxy-3-(4-nitrophenyl)-1-(2-pyridyl)-1-propanone, Answer this Q/
Q: 112 microliters of 2-acetylpyridine (121.14 g/mol, 1.08 g/mL) was reacted with 145 mg of 4-nitrobenzaldehyde (151.12 g/mol) and 35 mg of sodium carbonate (105.99 g/mol). What is the theoretical yield, in milligrams (mg), of the aldol addition product (254.25 g/mol)? Enter your answer as digits only (no units), using the proper number of significant figures.
In: Chemistry
| HOUSEID | TRAVDAY | SAMPSTRAT | HOMEOWN | HHSIZE | HHVEHCNT | HHFAMINC | PC | SPHONE | TAB | WALK | BIKE | CAR | TAXI | BUS | TRAIN | PARA | PRICE | PLACE | WALK2SAVE | BIKE2SAVE | PTRANS | HHRELATD | DRVRCNT | CNTTDHH | HHSTATE | HHSTFIPS | NUMADLT | YOUNGCHILD | WRKCOUNT | TDAYDATE | HHRESP | LIF_CYC | MSACAT | MSASIZE | RAIL | URBAN | URBANSIZE | URBRUR | SCRESP | CENSUS_D | CENSUS_R | CDIVMSAR | HH_RACE | HH_HISP | HH_CBSA | RESP_CNT | WEBUSE17 | SMPLSRCE | WTHHFIN | HBHUR | HTHTNRNT | HTPPOPDN | HTRESDN | HTEEMPDN | HBHTNRNT | HBPPOPDN | HBRESDN |
| 30000007 | 2 | 3 | 1 | 3 | 5 | 7 | 2 | 1 | 2 | 5 | 5 | 1 | 5 | 4 | 5 | 5 | 1 | 2 | 4 | 4 | 4 | 1 | 3 | 6 | NC | 37 | 3 | 0 | 1 | 201608 | 1 | 10 | 3 | 1 | 2 | 1 | 1 | 1 | 1 | 5 | 3 | 53 | 2 | 2 | XXXXX | 3 | 1 | 2 | 187.3143 | T | 50 | 1500 | 750 | 750 | 20 | 750 | 300 |
| 30000008 | 5 | 2 | 1 | 2 | 4 | 8 | 1 | 1 | 2 | 4 | 4 | 1 | 5 | 5 | 5 | 5 | 5 | 2 | 4 | 4 | 5 | 1 | 2 | 2 | WI | 55 | 2 | 0 | 2 | 201608 | 2 | 2 | 2 | 5 | 2 | 4 | 6 | 2 | 1 | 3 | 2 | 32 | 1 | 2 | 33460 | 2 | 1 | 2 | 69.51303 | R | 5 | 300 | 300 | 150 | 5 | 300 | 300 |
| 30000012 | 5 | 3 | 1 | 1 | 2 | 10 | 1 | 1 | 3 | 2 | 5 | 1 | 5 | 4 | 4 | 5 | 2 | 1 | 2 | 3 | 5 | 2 | 1 | 9 | NY | 36 | 1 | 0 | 1 | 201607 | 1 | 1 | 3 | 3 | 2 | 1 | 3 | 1 | 1 | 2 | 1 | 23 | 1 | 2 | XXXXX | 1 | 1 | 2 | 79.41959 | C | 80 | 17000 | 17000 | 5000 | 60 | 17000 | 7000 |
| 30000019 | 5 | 3 | 1 | 2 | 2 | 3 | 1 | 5 | 5 | 2 | 5 | 1 | 5 | 5 | 5 | 5 | 2 | 3 | 2 | 3 | 3 | 1 | 2 | 4 | MD | 24 | 2 | 0 | 0 | 201605 | 1 | 2 | 3 | 2 | 2 | 1 | 1 | 1 | 1 | 5 | 3 | 53 | 1 | 2 | XXXXX | 2 | 1 | 2 | 279.1436 | S | 40 | 300 | 300 | 150 | 50 | 750 | 300 |
| 30000029 | 3 | 3 | 1 | 2 | 2 | 5 | 2 | 5 | 1 | -9 | -9 | 1 | -9 | -9 | -9 | -9 | 3 | 2 | 5 | 5 | 5 | 1 | 2 | 10 | WI | 55 | 2 | 0 | 0 | 201610 | 1 | 10 | 3 | 3 | 2 | 1 | 2 | 1 | 1 | 3 | 2 | 33 | 1 | 2 | XXXXX | 2 | 1 | 2 | 103.2403 | S | 40 | 1500 | 750 | 750 | 40 | 1500 | 750 |
| 30000039 | 5 | 3 | 1 | 2 | 2 | 10 | 1 | 3 | 5 | 5 | 5 | 1 | 5 | 5 | 5 | 5 | 5 | 3 | 5 | 5 | 5 | 1 | 2 | 11 | PA | 42 | 2 | 0 | 1 | 201609 | 1 | 2 | 3 | 3 | 2 | 1 | 3 | 1 | 1 | 2 | 1 | 23 | 1 | 2 | XXXXX | 2 | 1 | 1 | 2329.525 | S | 40 | 7000 | 1500 | 1500 | 5 | 3000 | 1500 |
| 30000041 | 4 | 3 | 1 | 2 | 2 | 11 | 1 | 1 | 1 | 1 | 4 | 1 | 3 | 4 | 4 | 5 | 5 | 5 | 5 | 5 | 5 | 1 | 2 | 6 | CA | 6 | 2 | 0 | 2 | 201606 | 1 | 2 | 3 | 3 | 1 | 1 | 2 | 1 | 1 | 9 | 4 | 93 | 1 | 2 | XXXXX | 2 | 1 | 2 | 788.6142 | T | 40 | 300 | 50 | 25 | 40 | 300 | 300 |
| 30000062 | 5 | 4 | 1 | 2 | 6 | 10 | 1 | 1 | 1 | 4 | 5 | 1 | 4 | 5 | 5 | 5 | 3 | 3 | 4 | 5 | 5 | 1 | 2 | 6 | TX | 48 | 2 | 0 | 1 | 201609 | 1 | 10 | 4 | 6 | 2 | 4 | 6 | 2 | 1 | 7 | 3 | 74 | 1 | 2 | XXXXX | 2 | 1 | 2 | 294.5018 | R | 20 | 50 | 50 | 25 | 5 | 50 | 50 |
| 30000082 | 3 | 3 | 2 | 4 | 2 | 8 | 1 | 1 | 5 | -9 | 5 | 1 | 5 | 5 | 5 | 5 | 3 | 3 | 5 | 5 | 5 | 1 | 2 | 12 | NY | 36 | 2 | 2 | 2 | 201605 | 1 | 4 | 3 | 3 | 2 | 1 | 3 | 1 | 1 | 2 | 1 | 23 | 1 | 2 | XXXXX | 4 | 1 | 2 | 1148.809 | T | 20 | 1500 | 300 | 750 | 30 | 750 | 300 |
| 30000085 | 1 | 2 | 1 | 1 | 2 | 9 | 1 | 1 | 4 | 1 | 4 | 2 | 3 | 5 | 5 | 5 | 5 | 3 | 4 | 4 | 3 | 2 | 1 | 6 | CA | 6 | 1 | 0 | 1 | 201608 | 1 | 1 | 2 | 5 | 2 | 1 | 4 | 1 | 1 | 9 | 4 | 92 | 97 | 1 | 41740 | 1 | 1 | 2 | 190.669 | U | 50 | 17000 | 17000 | 5000 | 50 | 30000 | 17000 |
| 30000089 | 6 | 3 | 1 | 4 | 2 | 7 | 2 | 1 | 4 | 5 | 5 | 1 | 5 | 5 | 5 | 5 | 5 | 3 | 5 | 5 | 5 | 1 | 2 | 4 | TX | 48 | 2 | 2 | 2 | 201612 | 1 | 4 | 3 | 3 | 2 | 4 | 6 | 2 | 1 | 7 | 3 | 73 | 1 | 1 | XXXXX | 4 | 1 | 2 | 833.6213 | T | 20 | 1500 | 750 | 750 | 30 | 1500 | 300 |
| 30000094 | 3 | 3 | 2 | 1 | 1 | 4 | 1 | 1 | 5 | 4 | 4 | 1 | 4 | 5 | 5 | 5 | 2 | 2 | 2 | 2 | 3 | 2 | 1 | 4 | CA | 6 | 1 | 0 | 1 | 201610 | 1 | 1 | 3 | 1 | 2 | 1 | 1 | 1 | 1 | 9 | 4 | 93 | 1 | 1 | XXXXX | 1 | 1 | 2 | 163.3823 | T | 20 | 300 | 300 | 150 | 20 | 300 | 300 |
| 30000095 | 6 | 3 | 1 | 1 | 1 | 6 | 2 | 5 | 5 | 4 | 2 | 1 | 5 | 5 | 5 | 5 | 4 | 3 | 3 | 3 | 5 | 2 | 1 | 9 | WI | 55 | 1 | 0 | 0 | 201607 | 1 | 9 | 3 | 3 | 2 | 1 | 2 | 1 | 1 | 3 | 2 | 33 | 1 | 2 | XXXXX | 1 | 2 | 2 | 41.93445 | S | 5 | 7000 | 3000 | 3000 | 5 | 7000 | 3000 |
| 30000107 | 6 | 2 | 1 | 2 | 3 | 8 | 1 | 2 | 5 | 4 | 4 | 1 | 5 | 5 | 4 | 5 | 3 | 4 | 4 | 4 | 5 | 1 | 2 | 11 | TX | 48 | 2 | 0 | 0 | 201612 | 1 | 2 | 2 | 5 | 2 | 1 | 4 | 1 | 1 | 7 | 3 | 72 | 1 | 2 | 19100 | 2 | 1 | 2 | 60.00456 | C | 5 | 7000 | 1500 | 3000 | 20 | 7000 | 1500 |
| 30000128 | 1 | 3 | 2 | 2 | 2 | 1 | 1 | 1 | 5 | 3 | 5 | 1 | 5 | 5 | 4 | 5 | 4 | 4 | 4 | 4 | 4 | 2 | 2 | 2 | ME | 23 | 2 | 0 | 0 | 201605 | 1 | 2 | 3 | 1 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 13 | 1 | 2 | XXXXX | 2 | 1 | 1 | 7092.269 | C | 30 | 300 | 300 | 150 | 60 | 3000 | 1500 |
PROBLEM 1: Estimate the average number of trip generated by households in the study area by (a) Number of workers in the household (b) Number of students in the household (c) Number of vehicles in the household (d) Household size (Number of people in the household)
In: Math
WHAT IS THE
A. MEAN
B. THE VARIANCE
C. THE STANDARD DEVIATION
| Respondent | QUESTION 1 | QUESTION 2 | QUESTION 3 | QUESTION 4 | QUESTION 5 | QUESTION 6 | QUESTION 7 | QUESTION 8 | OBESE? |
| A | 2 | 1 | 2 | 1 | 3 | 4 | 3 | 2 | N |
| B | 1 | 2 | 1 | 5 | 3 | 1 | 3 | 5 | N |
| C | 2 | 5 | 3 | 3 | 3 | 3 | 4 | 2 | N |
| D | 2 | 4 | 3 | 3 | 3 | 3 | 3 | 5 | N |
| E | 2 | 4 | 4 | 1 | 5 | 3 | 4 | 2 | N |
| F | 2 | 1 | 2 | 2 | 3 | 2 | 2 | 2 | N |
| G | 4 | 3 | 4 | 1 | 3 | 4 | 4 | 3 | Y |
| H | 1 | 1 | 3 | 1 | 3 | 5 | 4 | 1 | N |
| I | 2 | 1 | 2 | 1 | 3 | 2 | 3 | 5 | N |
| J | 1 | 2 | 2 | 2 | 2 | 2 | 2 | 5 | N |
| K | 1 | 3 | 1 | 3 | 3 | 3 | 3 | 5 | N |
| L | 1 | 4 | 2 | 1 | 2 | 2 | 3 | 5 | N |
| M | 1 | 5 | 1 | 1 | 1 | 3 | 5 | 1 | N |
| N | 1 | 3 | 1 | 1 | 3 | 4 | 2 | 3 | Y |
| O | 5 | 5 | 5 | 3 | 3 | 5 | 5 | 3 | Y |
In: Statistics and Probability