Assume that a three-year bridge construction project has just concluded resulting in a modern six-lane structure that spans a major river connecting two cities. Each of the two cities resides in a different state. The new bridge replaces a late-1940s steel structure two-lane bridge that was originally dedicated to World War II military veterans. The new bridge was constructed approximately 100 yards upstream from the bridge that it will be replacing. The old bridge is still standing and in operation, but destruction of the old bridge will begin approximately two weeks after the new bridge is dedicated and opened to traffic. The local Chambers of Commerce in each of the two cities connected by the bridge have been pushing for its replacement for the past 20 years. Various politicians at many state and local levels from each state have been actively involved (either in supporting or opposing the push to get the project funded, scheduled, and completed). At least two area historical groups have been vocal, especially in the past four years, about the old bridge's future. Representatives of smaller towns and cities along the major highways leading into the two cities that the new bridge connects have long supported the bridge renovation and have recently hailed it as a great boost to the region's economy. There are multiple newspapers in each of the two cities that the bridge connects, with one dominant newspaper that serves both markets. One of the cities connected by the bridge has four local television stations and the city in the other state has none. Workers from a general contractor and seventeen subcontractors have worked on the new bridge project, as well as employees of the primary Architectural firm and two consulting Architectural firms. Various state and federal government agencies have been directly or indirectly involved in the project as well. As the river spanned by the new bridge is a navigable river downstream from the bridge and also for a much shorter distance upstream from the bridge, the U.S. Army Corps of Engineers has also been actively involved. Various lobbying groups have supported or opposed the bridge project during its life and during the years leading up to the project getting started. These lobbyists have been the voice of many different types of groups that range across many interests from environmental groups to trucking industry groups as examples. As the new bridge has required that new highway approaches be constructed along each side of the river that it spans, various businesses and two very small residential neighborhoods have been impacted by the new bridge's approach roads. Several small businesses on either side of the river from the old bridge fear that life will change dramatically when the old bridge closes. The arts community in the region has successfully sought to provide input into the design of the new bridge and that bridge will feature special lighting to make it aesthetically appealing at night. The project manager for the new bridge and the key project team members have worked diligently for the entire duration of the project to bring the project to completion within one week of the scheduled completion date and slightly under budget. Inspection of the new bridge, to ensure that it meets specifications and is safe for the public, is currently underway and will be completed within the next month. The new bridge project has been completed with a combination of local, federal, and state (from each of the two states) funding. REQUIRED: Prepare a two-to-four page Microsoft Word format document (with one-inch margins all around in a 10 or 12-point Times New Roman or Arial font). Please place an appropriate assignment heading on the document containing the assignment number, the submitting student name, etc. in a format that is the same as students have been instructed to use in previous assignments in this course. In that document, please respond (in full sentences and appropriate paragraph structure) to the following two multi-part questions: 1. What should be done to ensure appropriate closure of this project and why? 2. Should this project have a project audit? Why or why not? If it should have a project audit, then how should that project audit be done and why? (Be sure to address the who, what, when, where, why, and how parts of this last subquestion as well as mentioning the general characteristics of a high-quality project audit effort, should you elect to state that a project audit should be done.)

A study was done to look at the relationship between number of movies people watch at the theater each year and the number of books that they read each year. The results of the survey are shown below.

1. Find the correlation coefficient: r=r=    Round to 2 decimal places.
2. The null and alternative hypotheses for correlation are:
   H0:H0: ? ρ μ r  == 0
   H1:H1: ? μ ρ r   ≠≠ 0
   The p-value is:      Round to 4 decimal places.
   
3. Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study.
   • There is statistically significant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the regression line is useful.
   • There is statistically significant evidence to conclude that a person who watches more movies will read fewer books than a person who watches fewer movies.
   • There is statistically significant evidence to conclude that a person who watches fewer movies will read fewer books than a person who watches fewer movies.
   • There is statistically insignificant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the use of the regression line is not appropriate.
4. r2r2 =  (Round to two decimal places)
5. Interpret r2r2 :
   • 41% of all people watch about the same number of movies as they read books each year.
   • Given any fixed number of movies watched per year, 41% of the population reads the predicted number of books per year.
   • There is a 41% chance that the regression line will be a good predictor for the number of books people read based on the number of movies they watch each year.
   • There is a large variation in the number books people read each year, but if you only look at people who watch a fixed number of movies each year, this variation on average is reduced by 41%.
6. The equation of the linear regression line is:   
   ˆyy^ =   + xx    (Please show your answers to two decimal places)
   
7. Use the model to predict the number of books read per year for someone who watches 3 movies per year.
   Books per year =  (Please round your answer to the nearest whole number.)
   
8. Interpret the slope of the regression line in the context of the question:
   • As x goes up, y goes down.
   • For every additional movie that people watch each year, there tends to be an average decrease of 0.61 books read.
   • The slope has no practical meaning since people cannot read a negative number of books.
   
   
9. Interpret the y-intercept in the context of the question:
   • If someone watches 0 movies per year, then that person will read 13 books this year.
   • The average number of books read per year is predicted to be 13 books.
   • The y-intercept has no practical meaning for this study.
   • The best prediction for a person who doesn't watch any movies is that they will read 13 books each year.

A study was done to look at the relationship between number of movies people watch at the theater each year and the number of books that they read each year. The results of the survey are shown below. Movies 6 10 1 2 3 1 7 7 6 5 8 Books 6 0 8 7 7 7 2 1 6 7 5 Find the correlation coefficient: r = Round to 2 decimal places. The null and alternative hypotheses for correlation are: H 0 : = 0 H 1 : ≠ 0 The p-value is: Round to 4 decimal places. Use a level of significance of α = 0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically significant evidence to conclude that a person who watches more movies will read fewer books than a person who watches fewer movies. There is statistically insignificant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the use of the regression line is not appropriate. There is statistically significant evidence to conclude that a person who watches fewer movies will read fewer books than a person who watches fewer movies. There is statistically significant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the regression line is useful. r 2 = (Round to two decimal places) Interpret r 2 : There is a large variation in the number books people read each year, but if you only look at people who watch a fixed number of movies each year, this variation on average is reduced by 66%. Given any fixed number of movies watched per year, 66% of the population reads the predicted number of books per year. 66% of all people watch about the same number of movies as they read books each year. There is a 66% chance that the regression line will be a good predictor for the number of books people read based on the number of movies they watch each year. The equation of the linear regression line is: ˆ y = + x (Please show your answers to two decimal places) Use the model to predict the number of books read per year for someone who watches 8 movies per year. Books per year = (Please round your answer to the nearest whole number.) Interpret the slope of the regression line in the context of the question: As x goes up, y goes down. The slope has no practical meaning since people cannot read a negative number of books. For every additional movie that people watch each year, there tends to be an average decrease of 0.75 books read. Interpret the y-intercept in the context of the question: If someone watches 0 movies per year, then that person will read 9 books this year. The best prediction for a person who doesn't watch any movies is that they will read 9 books each year. The average number of books read per year is predicted to be 9 books. The y-intercept has no practical meaning for this study.

A study was done to look at the relationship between number of movies people watch at the theater each year and the number of books that they read each year. The results of the survey are shown below.

1. Find the correlation coefficient: r= Round to 2 decimal places.
2. The null and alternative hypotheses for correlation are:
   H0: ? r ρ μ   = 0
   H1: ? μ r ρ   ≠ 0
   The p-value is:    Round to 4 decimal places.
   
3. Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study.
   • There is statistically significant evidence to conclude that a person who watches more movies will read fewer books than a person who watches fewer movies.
   • There is statistically insignificant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the use of the regression line is not appropriate.
   • There is statistically significant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the regression line is useful.
   • There is statistically significant evidence to conclude that a person who watches fewer movies will read fewer books than a person who watches fewer movies.
4. r2 =  (Round to two decimal places)
5. Interpret r2r2 :
   • There is a 78% chance that the regression line will be a good predictor for the number of books people read based on the number of movies they watch each year.
   • Given any fixed number of movies watched per year, 78% of the population reads the predicted number of books per year.
   • There is a large variation in the number books people read each year, but if you only look at people who watch a fixed number of movies each year, this variation on average is reduced by 78%.
   • 78% of all people watch about the same number of movies as they read books each year.
6. The equation of the linear regression line is:   
   ˆyy^ =   +   xx    (Please show your answers to two decimal places)   
   
7. Use the model to predict the number of books read per year for someone who watches 4 movies per year.
   Books per year =  (Please round your answer to the nearest whole number.)   
   
8. Interpret the slope of the regression line in the context of the question:
   • The slope has no practical meaning since people cannot read a negative number of books.
   • For every additional movie that people watch each year, there tends to be an average decrease of 0.77 books read.
   • As x goes up, y goes down.
   
   
9. Interpret the y-intercept in the context of the question:
   • The best prediction for a person who doesn't watch any movies is that they will read 7 books each year.
   • The average number of books read per year is predicted to be 7 books.
   • The y-intercept has no practical meaning for this study.
   • If someone watches 0 movies per year, then that person will read 7 books this year.

**** Can you please type or print clearly. Thank you so much

A study was done to look at the relationship between number of movies people watch at the theater each year and the number of books that they read each year. The results of the survey are shown below.

Find the correlation coefficient: r=______. Round to 2 decimal places.

The null and alternative hypotheses for correlation are:
H0:H0: ? μ r ρ  == 0
H1:H1: ? μ ρ r   ≠≠ 0

The p-value is: ____ Round to 4 decimal places.

1. Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study.
   • There is statistically significant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the regression line is useful.
   • There is statistically significant evidence to conclude that a person who watches more movies will read fewer books than a person who watches fewer movies.
   • There is statistically significant evidence to conclude that a person who watches fewer movies will read fewer books than a person who watches fewer movies.
   • There is statistically insignificant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the use of the regression line is not appropriate.
2. r2r2 =  (Round to two decimal places)
3. Interpret r2r2 :
   • There is a 72% chance that the regression line will be a good predictor for the number of books people read based on the number of movies they watch each year.
   • There is a large variation in the number books people read each year, but if you only look at people who watch a fixed number of movies each year, this variation on average is reduced by 72%.
   • Given any fixed number of movies watched per year, 72% of the population reads the predicted number of books per year.
   • 72% of all people watch about the same number of movies as they read books each year.
4. The equation of the linear regression line is:   
   ˆyy^ =   + xx    (Please show your answers to two decimal places)
   
   
5. Use the model to predict the number of books read per year for someone who watches 4 movies per year.
   Books per year =  (Please round your answer to the nearest whole number.)
   
   
6. Interpret the slope of the regression line in the context of the question:
   • The slope has no practical meaning since people cannot read a negative number of books.
   • As x goes up, y goes down.
   • For every additional movie that people watch each year, there tends to be an average decrease of 0.71 books read.
7. Interpret the y-intercept in the context of the question:
   • If someone watches 0 movies per year, then that person will read 14 books this year.
   • The y-intercept has no practical meaning for this study.
   • The best prediction for a person who doesn't watch any movies is that they will read 14 books each year.
   • The average number of books read per year is predicted to be 14 books.

1. Which of the following statements best describes a sampling distribution?

Select one:

a. It is the distribution of the values of a variable in the population from which the sample is taken

b. It is the distribution of the values of a statistic that resembles the normal distribution when the sample size is large

c. It is the distribution of the values of a statistic calculated from 1000 simple random samples displayed in a histogram.

d. It is the distribution of the values of a particular variable that are observed in a random sample.

2. The weight of extra-large egg has a Normal distribution with a mean of 3 oz and a standard deviation of 0.1 oz.

What is the sampling distribution of the mean weight of extra-large egg (i.e., the distribution of the sample mean weight of an egg in a randomly selected carton of a dozen eggs (i.e., 12 eggs))?     

Select one:

a. N(12,1)

b. N(3, 0.1)

c. N(3, 0.03)

d. N(3, 0.2)

3. The manager at a movie theater would like to estimate the true mean amount of money spent by customers on popcorn only. He selects a simple random sample of 26 receipts and calculates a 92% confidence interval for true mean to be ($12.45, $23.32). The confidence interval can be interpreted to mean that, in the long run,                   

Select one:

a. 92% of all customers who buy popcorn spend between $12.45 and $23.22

b. 92% of similarly constructed intervals would contain the population mean

c. 92% of similarly constructed intervals would contain the sample mean

4. A population variable has a distribution with mean µ = 25 and variance σ² is 256. From this population a simple random sample of n observations is to be selected and the mean of the sample values calculated. If the population variable is known to be Normally distributed and the sample size is to be n = 25, what is the probability that the sample mean will be between 20.5 and 31.50, i.e., P(20.5 ≤ x-bar ≤ 31.5)?

5. Since confidence intervals are based on the sampling distribution of the sample mean, it is possible to form confidence intervals when sampling from slightly skewed distributions due to the central limit theorem

Select one:

True

False

6. The heights of a simple random sample of 200 male high school sophomores in a midwestern state are measured. The sample mean (x-bar) is 70 inches. Suppose that the heights of male high school sophomores follow a Normal distribution with a standard deviation is 5 inches.    

What is a 99% confidence interval for the population mean μ?

Select one:

a. (59.46, 72.94)

b. (69.09, 70.91)

c. (65.67, 66.73)

d. (58.16, 74.24)

7. The heights of a simple random sample of 200 male high school sophomores in a midwestern state are measured. The sample mean (x-bar) is 70 inches. Suppose that the heights of male high school sophomores follow a Normal distribution with a standard deviation of σ is 5 inches.

Suppose the heights of a simple random sample of 100 male sophomores were measured instead of 200. Which of the following statements is true?  

Select one:

a. The margin of error for the 95% confidence interval would decrease

b. The margin of error for the 95% confidence interval would increase

c. The standard deviation would decrease

A study was done to look at the relationship between number of movies people watch at the theater each year and the number of books that they read each year. The results of the survey are shown below.

1. Find the correlation coefficient: r=r=    Round to 2 decimal places.
2. The null and alternative hypotheses for correlation are:
   H0:H0: ? μ ρ r  == 0
   H1:H1: ? ρ μ r   ≠≠ 0
   The p-value is:      Round to 4 decimal places.
   
   
   
   
   
3. Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study.
   • There is statistically significant evidence to conclude that a person who watches more movies will read fewer books than a person who watches fewer movies.
   • There is statistically significant evidence to conclude that a person who watches fewer movies will read fewer books than a person who watches fewer movies.
   • There is statistically insignificant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the use of the regression line is not appropriate.
   • There is statistically significant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the regression line is useful.
4. r2r2 =  (Round to two decimal places)
5. Interpret r2r2 :
   • There is a large variation in the number books people read each year, but if you only look at people who watch a fixed number of movies each year, this variation on average is reduced by 62%.
   • Given any fixed number of movies watched per year, 62% of the population reads the predicted number of books per year.
   • There is a 62% chance that the regression line will be a good predictor for the number of books people read based on the number of movies they watch each year.
   • 62% of all people watch about the same number of movies as they read books each year.
6. The equation of the linear regression line is:   
   ˆyy^ =   + xx    (Please show your answers to two decimal places)
   
   
   
   
   
7. Use the model to predict the number of books read per year for someone who watches 2 movies per year.
   Books per year =  (Please round your answer to the nearest whole number.)
   
   
   
   
   
8. Interpret the slope of the regression line in the context of the question:
   • For every additional movie that people watch each year, there tends to be an average decrease of 0.76 books read.
   • As x goes up, y goes down.
   • The slope has no practical meaning since people cannot read a negative number of books.
   
   
   
   
   
   
9. Interpret the y-intercept in the context of the question:
   • The average number of books read per year is predicted to be 5 books.
   • The best prediction for a person who doesn't watch any movies is that they will read 5 books each year.
   • The y-intercept has no practical meaning for this study.
   • If someone watches 0 movies per year, then that person will read 5 books this year.

The scenario for this assessment is a multi-specialty hospital system, the Royal Rundle Hospital (RRH), that provides a broad range of services to the community which include surgical, maternity, obstetric care, dialysis, emergency, mental health, aged and palliative care, allied health services and a 24-hour emergency department. The RRH has been serving in the region for over 50 years and has been using paper-based forms and documents to store and manage all the data with some use of spreadsheets that started not so long ago. Now that the management of RRH wants to take the advantages of Information Technology to maintain and manage the records of the various aspects of the hospital system more efficiently, they have put out a Request for Proposals (RFP) for appropriately qualified consultants to undertake a body of work that would help to scope the data requirements for such a system. With your success in your Torrens University Australia degree so far, and other similar projects that have garnered you some sustained success in the eyes of the profession and community, you have been shortlisted among no less than 10 other consultancies. There are expectations from them, then, as to the standard of report you will produce. The management of the RRH has provided you with an overview and description of the hospital system as below Overview: The Royal Rundle Hospital (RRH) is a multi-specialty hospital that includes a number of departments, rooms, doctors, nurses, compounders, and other staff working in the hospital. Patients having different kinds of ailments come to the hospital and get checkup done from the relevant doctors. If required they are admitted in the hospital and discharged after treatment. The hospital maintains the records of various departments, rooms, and doctors in the hospital besides the most important records of the regular patients, patients admitted in the hospital, the checkup of patients done by the doctors, the patients that have been operated, and patients discharged from the hospital. Description: In RRH, there are many departments like Orthopedic, Pathology, Emergency, Dental, Gynecology, Anesthetics, I.C.U., Blood Bank, Operation Theater, Laboratory, M.R.I., Neurology, Cardiology, Cancer Department, Corpse, etc. There is an OPD where patients come and get a card (that is, entry card of the patient) for check up from the relevant doctor. After making entry in the card, they go to the relevant doctor’s room and the doctor checks up their ailments. According to the ailments, the doctor either prescribes medicine or admits the patient in the relevant department. The patient may choose either private or general room according to his/her need. But before getting admission in the hospital, the patient has to fulfill certain formalities of the hospital like room charges, etc. After the treatment is completed, the doctor discharges the patient. Before discharging from the hospital, the patient again has to complete certain formalities of the hospital like balance charges, test charges, operation charges (if any), blood charges, doctors’ charges, etc. Next, the management talks about the doctors of the hospital. There are two types of the doctors in the hospital, namely, regular doctors and call-on doctors. Regular doctors are those doctors who come to the hospital daily. Call-on doctors are those doctors who are called by the hospital if the relevant regular doctor is not available.

TASK:- System Vision Document

A nations population size and the affluence of its citizens each influence its resource consumption and environmental impact. As of 2019, the world’s population passed 7.76 billion, average per capita income was $15,415 per year, and the latest estimate for the worlds average ecological footprint is 2.8 hectares per person. The sampling of data in the table will allow you to explore patterns in how population, affluence, and environmental impact are related.

1. Calculate the total environmental impact (national ecological footprint) for each country. Multiply column 1 (population) by Personal Impact (column 3).`

2. Which Country has the greatest IPAT? Why? Incorporate Population Size, Affluence and Footprint into your answer.

3. Which Country has the lowest IPAT? Why? Incorporate Population Size, Affluence and Footprint into your answer.

4. Compare Belgium and the US -both have the two highest Affluence, which are quite similar ($ 56K vs. $ 44K). The Personal Impact for both countries also is similar (8.2 vs. 7.4, respectively) yet the US has a population roughly 30x larger. In this example, what factor do you think (Affluence, Population size, or Personal Impact) carries the most weight in terms of influencing the Total National Impact/Ecological Footprint.