The International Air Transport Association surveys business travelers to develop quality ratings for transatlantic gateway airports. The maximum possible rating is 10. Suppose a simple random sample of  business travelers is selected and each traveler is asked to provide a rating for the Miami International Airport. The ratings obtained from the sample of  business travelers follow.

Develop a  confidence interval estimate of the population mean rating for Miami. Round your answers to two decimal places.

( ,  )

1). Which predictor variables are statistically significant at the 10% significance level?

2). What is the slope and p-value of the bedrooms variable?

3). What percentage of the variability in price is explained by this model?

In the year 2005, in Anytown, suppose that one person is willing to pay $1,000 for relief from hay fever; another two are willing to pay $350; about five more are willing to pay $50; one is willing to pay $40; one is willing to pay $35; one each is willing to pay $34, $32, $30, and $28; about a dozen are willing to pay $10; four are willing to pay $5; and half of the rest of the town (another 75 people) are willing to pay $1. a. Draw the demand curve for hay fever relief in Anytown. b. What is the potential total benefit (total of incremental value) from relief of hay fever if it is provided to everyone who asks? To everyone willing to pay $35 or more? c. If the price of hay fever medication is $20, what is the quantity demanded? What is the consumer surplus (total net value or benefit) for those who are willing and able to pay for the hey fever medication?

HW Measuring Total Output & Income

                                    A                                              B          
GDP ($millions)                       1000000          1050400          250000            288000
population (millions)                20                    20.2                 50                    60
GDP/pop ($thousands)          50,000__          52,000__          5,000 __          4,800 __

Economy A is a developed economy while B is a developing economy. Both are observed above at two points in time.                                                               
1)Which economy is bigger? A
2)Which economy grew? (both, neither, A, B) Both
3)Which economy added more output? 
4)Which economy had greater percentage growth?
5)Which has more people? B
6)Which population grew? (both, neither, A, B) Both grew but B grew more (50 to 60)
7)Which population had greater percentage growth?
8)Which had GDP per capita growth? (both, neither, A, B)   A
9)Which had more per capita? A

Pizzeria Duo Express sells two type of pizzas; regular and deluxe. The company sells each regular pizza for $7 and each deluxe pizza for $10. The firm currently has 150 pounds of dough mix and 50 pounds of topping mix. Accounting reports that the current amounts of dough and topping mix have a value of $300 and $125, respectively. Each regular pizza uses 1 pound of dough mix and 4 ounces (16 ounces= 1 pound) of topping mix. Each deluxe pizza uses 1 pound of dough mix and 8 ounces of topping mix. Based on the past demand per week, Bryant can sell at least 50 regular pizzas and at least 25 deluxe pizzas, on a regular day.

A. Formulate the standard form of this model.

B. Determine the number of regular and deluxe pizzas the company should make to maximize net income, each day.

Please explain answer and show steps

Which two statements describe the IP address 10.16.3.65/22? (Choose two)

1. The subnet address is 10.16.3.0 255.255.252.0.
2. The lowest host address in the subnet is 10.16.0.1 255.255.252.0.
3. The last valid host address in the subnet is 10.16.3.255 255.255.252.0
4. The broadcast address of the subnet is 10.16.3.255 255.255.252.0.
5. The network is not subnetted.

Which IP addresses are valid for hosts belonging to the 10.1.160.0/20 subnet? (Choose three)

1. 10.1.169.0
2. 10.1.176.1
3. 10.1.175.254
4. 10.1.160.0
5. 10.1.175.255
6. 10.1.160.255

Which one of the following IP addresses is the last valid host in the subnet using mask 255.255.255.192?

1. 192.168.2.60
2. 192.168.2.61
3. 192.168.2.62
4. 192.168.2.63
5. 192.168.2.32

An administrator is working with the 192.168.4.0 network, which has been subnetted with a /27 mask. Which two addresses can be assigned to hosts within the same subnet? (Choose two)

1. 192.168.4.30
2. 192.168.4.31
3. 192.168.4.32
4. 192.168.4.33

Nationally, about 11% of the total U.S. wheat crop is destroyed each year by hail.† An insurance company is studying wheat hail damage claims in a county in Colorado. A random sample of 16 claims in the county reported the percentage of their wheat lost to hail.

The sample mean is x = 12.2%. Let x be a random variable that represents the percentage of wheat crop in that county lost to hail. Assume that x has a normal distribution and σ = 5.0%. Do these data indicate that the percentage of wheat crop lost to hail in that county is different (either way) from the national mean of 11%? Use α = 0.01.

(a) What is the level of significance?


State the null and alternate hypotheses. Will you use a left-tailed, right-tailed, or two-tailed test?

H₀: μ ≠ 11%; H₁:  μ = 11%; two-tailedH₀: μ = 11%; H₁:  μ > 11%; right-tailed     H₀: μ = 11%; H₁:  μ < 11%; left-tailedH₀: μ = 11%; H₁:  μ ≠ 11%; two-tailed

(b) What sampling distribution will you use? Explain the rationale for your choice of sampling distribution.

The standard normal, since we assume that x has a normal distribution with known σ.The Student's t, since n is large with unknown σ.     The standard normal, since we assume that x has a normal distribution with unknown σ.The Student's t, since we assume that x has a normal distribution with known σ.

Compute the z value of the sample test statistic. (Round your answer to two decimal places.)


(c) Find (or estimate) the P-value. (Round your answer to four decimal places.)


Sketch the sampling distribution and show the area corresponding to the P-value.

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?

At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant.     At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant.At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) State your conclusion in the context of the application.

There is sufficient evidence at the 0.01 level to conclude that the average hail damage to wheat crops in the county in Colorado differs from the national average.There is insufficient evidence at the 0.01 level to conclude that the average hail damage to wheat crops in the county in Colorado differs from the national average.    

Empire Electric Company (EEC) uses only debt and common equity. It can borrow unlimited amounts at an interest rate of r_d = 9% as long as it finances at its target capital structure, which calls for 45% debt and 55% common equity. Its last dividend (D₀) was $2.75, its expected constant growth rate is 6%, and its common stock sells for $30. EEC's tax rate is 40%. Two projects are available: Project A has a rate of return of 12%, and Project B's return is 11%. These two projects are equally risky and about as risky as the firm's existing assets.

1. What is its cost of common equity? Round your answer to two decimal places. Do not round your intermediate calculations.
   %
2. What is the WACC? Round your answer to two decimal places. Do not round your intermediate calculations.

The manufacturer of hardness testing equipment uses​ steel-ball indenters to penetrate metal that is being tested.​ However, the manufacturer thinks it would be better to use a diamond indenter so that all types of metal can be tested. Because of differences between the two types of​ indenters, it is suspected that the two methods will produce different hardness readings. The metal specimens to be tested are large enough so that two indentions can be made.​ Therefore, the manufacturer uses both indenters on each specimen and compares the hardness readings. Construct a​ 95% confidence interval to judge whether the two indenters result in different measurements. ​Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. LOADING... Click the icon to view the data table. Construct a​ 95% confidence interval to judge whether the two indenters result in different​ measurements, where the differences are computed as​ 'diamond minus steel​ ball'. The lower bound is nothing. The upper bound is nothing. ​(Round to the nearest tenth as​ needed.) State the appropriate conclusion. Choose the correct answer below. There is insufficient evidence to conclude that the two indenters produce different hardness readings. There is sufficient evidence to conclude that the two indenters produce different hardness readings.

We assume that our wages will increase as we gain experience and become more valuable to our employers. Wages also increase because of inflation. By examining a sample of employees at a given point in time, we can look at part of the picture. How does length of service (LOS) relate to wages? The data here (data238.dat) is the LOS in months and wages for 60 women who work in Indiana banks. Wages are yearly total income divided by the number of weeks worked. We have multiplied wages by a constant for reasons of confidentiality.

(a) Plot wages versus LOS. Consider the relationship and whether or not linear regression might be appropriate. (Do this on paper. Your instructor may ask you to turn in this graph.)

(b) Find the least-squares line. Summarize the significance test for the slope. What do you conclude?

(c) State carefully what the slope tells you about the relationship between wages and length of service.


(d) Give a 95% confidence interval for the slope.
(  ,  )

worker  wages   los     size
1       39.7268 99      Large
2       47.9395 108     Small
3       50.0018 36      Small
4       56.5056 37      Small
5       39.9768 99      Large
6       42.1023 51      Small
7       68.3662 149     Large
8       62.1544 118     Large
9       45.573  151     Large
10      50.4117 83      Small
11      38.4135 53      Large
12      62.4993 40      Small
13      60.3019 58      Small
14      37.6291 26      Large
15      38.3317 104     Large
16      44.7494 158     Large
17      72.8137 58      Large
18      52.989  83      Small
19      73.2051 49      Large
20      39.127  113     Large
21      44.2316 59      Large
22      69.7851 40      Small
23      49.472  26      Large
24      38.5196 77      Small
25      46.0804 69      Large
26      59.7664 118     Small
27      55.661  115     Small
28      58.2214 28      Large
29      57.7969 39      Large
30      46.9105 44      Large
31      38.4955 56      Small
32      58.9224 110     Large
33      53.8302 82      Large
34      43.2473 58      Small
35      50.2706 84      Large
36      50.6164 20      Large
37      49.6558 93      Large
38      78.595  66      Small
39      82.6382 92      Large
40      75.3109 40      Small
41      49.842  131     Small
42      50.6961 61      Small
43      72.7987 38      Large
44      45.2429 101     Small
45      67.4423 121     Large
46      53.2089 102     Small
47      55.595  28      Large
48      63.0091 45      Large
49      60.6773 41      Small
50      44.6185 20      Large
51      39.0958 91      Large
52      63.4885 200     Large
53      54.8688 149     Large
54      53.0166 26      Small
55      42.1089 95      Small
56      71.9169 50      Large
57      61.4371 62      Small
58      50.6912 16      Large
59      53.9664 23      Small
60      39.0164 15      Large