An article presents the results of a study in which the weights of 295 eggs from 27-week-old breeding hens averaged 54.1 g with a standard deviation of 4.4 g, and weights of 295 eggs from 59-week-old hens averaged 72.7 g with a standard deviation of 4.7 g. Let μX represent the population mean weight for 59-week-old hens and let μY represent the population mean weight for 27-week-old hens. Find a 95% confidence interval for the difference μX−μY . Round the answers to three decimal places. The 95% confidence interval is ( , ).

2. In this problem, you are going to see just how quickly the Sun uses up nuclear energy in its core. a. Four hydrogen atoms (total mass = 6.7x10-27 kg) fuse to produce one helium atom (mass 6.6x10-27 ). If one gm of hydrogen is burned in the Sun into helium, how much energy will be produced? b. The Sun has luminosity of 4x1026 Joules per second. It has mass of 2x1030kg. Three quarters of the Suns mass is hydrogen. Make a rough estimate of the maximum time the Sun could shine at its present luminosity by burning hydrogen into helium.

Consider a study that compares the Atkins diet to a conventional diet. A study at the University of Pennsylvania selected a sample of 63 subjects from the local population of obese adults. Researchers randomly assigned 33 to the Atkins diet and 30 subjects to a conventional diet. Test whether there is a significant difference in the mean weight loss (measured in pounds) across the two different diet programs.

I previously asked this question and when I put the data in excel, the numbers did not come out like the example. Please help. Thanks

Using software:

1. Generate summary statistics (central tendency and variability measures) for the two samples and briefly summarize what they say.
   

b.         Conduct a test of significance for the difference between the mean weight across the different diet programs. Be sure to show the output from the software and interpret the results.

c. Construct a 95% confidence interval for the difference parameter in mean weight lost and make an interpretation.

d. Finally, are there any other factors, besides the type of diet, that could possibly influence weight loss (identify at least 2)? Include a brief explanation of each.

The Department of Energy and the U.S. Environmental Protection Agency's 2012 Fuel Economy Guide provides fuel efficiency data for 2012 model year cars and trucks.† The file named CarMileage provides a portion of the data for 309 cars. The column labeled Size identifies the size of the car (Compact, Midsize, and Large) and the column labeled Hwy MPG shows the fuel efficiency rating for highway driving in terms of miles per gallon. Use α = 0.05 and test for any significant difference in the mean fuel efficiency rating for highway driving among the three sizes of cars. (Hint: you will need to re-organize the data to create indicator variables for the qualitative data).

State the null and alternative hypotheses.
H₀: β₁ = β₂ = 0
H_a: One or more of the parameters is not equal to zero.

Find the value of the test statistic for the overall model. (Round your answer to two decimal places.)

Find the p-value for the overall model. (Round your answer to three decimal places.)

p-value =

please explain the process through excel

Write a C++ program to simulate a service desk. This service desk should be able to service customers that can have one of three different priorities (high, medium, and low). The duration for any customer is a random number (between 5 minutes and 8 minutes).  You need to write a program that will do the following:

1. Generate random 100 service requests.
2. Each service request can be either high, medium, or low priority. (Your program should randomly allocate this priority to each service.)
3. Each service request may need any time to be serviced between 5 and 8 minutes. (Your program should randomly allocate this time to each service.)
4. Your program should simulate the case when you have one service station for all customers.
5. Your program should simulate the case when you have two service stations for these 100 customers.
6. For each case, output the following statistics:
   1. The number of requests for each priority along with the service time for each request
   2. The waiting time for each service request
   3. The average waiting time for service requests within each priority

Tips: Use a loop that will process 100 times, se each service request as an index for the queue, declare random numbers to generate priorities and service times, 5-8 for service, 1-3 for priority, generate 2 deques: one for service, 1 for priority, use push_front(high) and push_front(low) to add values to the deque, for medium priority use size()/2 to find the missle position of the deque using insert(name.insert(position, value).

Refer to the accompanying data set and construct a 95​% confidence interval estimate of the mean pulse rate of adult​ females; then do the same for adult males. Compare the results.

Construct a 95​% confidence interval of the mean pulse rate for adult females.

Males
86
71
52
60
54
64
53
76
51
59
73
60
63
76
80
63
65
97
40
89
74
63
73
70
52
65
57
81
72
66
63
97
56
64
57
59
68
69
86
60

Females
79
96
55
69
53
82
76
85
89
56
38
64
86
79
78
64
66
77
62
66
81
84
72
76
88
89
90
87
91
94
71
90
82
81
74
55
97
72
74
74

Required:

1. Review ABC PLC’ balance sheet and identify how the format of this financial statement provides useful information.

2. Identify at least three differences in balance sheet reporting between British and U.S. firms, as shown in ABC PLC’ balance sheet.

3. Calculate at least three financial ratios using the information provided above for the balance sheet.

Kilgors have three different divisions: Wine Division; Hotels Division; and Entertainment Division. Your role is to prepare a balanced scorecard for the Wine Division to help managers evaluate performance.  

1. Within the simulation, you selected the different BSC measures. On the table below, place a cross next to the measures you selected. Draw lines to demonstrate the cause and effect linkages between the measures that you have identified.

[2 Marks]

3.For each of the three (3) decision scenarios in the case, outline the reasons for your choices. What happened to each of the measures as a result of these choices? Explain using example of measures that changed colour.

[5+5+5 = 15 Marks]

SCENARIO 1

SCENARIO 2

SCENARIO 3

4. outline some of your main reflections on the experience? i.e would you have selected different measures? Why? Are their alternative measures that you would have used instead? Is the Kilgors BSC you developed a sueful enabling control tool? Why

The vice president of sales for Blasterman Cosmetics, Inc. believes that 40% of the company’s orders come from customers who are less than 30 years old. A random sample of 10,000 orders will be used to estimate the proportion of customers who are less than 30 years old.

Assume that the vice president of sales is correct and P=40. What is the sampling distribution of P-bar for this study?

What is the probability that the sample proportion will be between .37 and .43?

What is the probability that the sample proportion will be between .39 and .41?

What would you conclude if the sample proportion is .36?