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The Executive Summary (excerpt)

Purpose of the Proposal

This document will acquaint the reader with 3 principle topics by

·         Showing what the San Diego State University (SDSU) Suntrakker project is;

·         Showing that the team-oriented, interdepartmental disciplines at SDSU possess the tenacity and know-how to build and race a solar-powered vehicle in the World Solar Challenge Race in Austrailia next year;

·         Define and articulate how this business team expects to promote and generate the necessary support; funds, and materials from the student body, alumni, community and local businesses to sieze and executive this opportunity.

Project Profile

The Suntrakker Solar Car project was conceived by a small group of San Diego State University engineering students motivated by the success of the General motors “Sunrayce,” committed itself to designing and building a superior solar-powered vehicle to compete in the world Solar Challenge.

From modest Beginnings, the Suntrakker project quickly revolved into a cross-disciplinary educational effort encompassing students from many colleges of San Diego State University. The project has provided students participants and volunteers with valuable real-life experiences and has brought them together in an effort that benefits not only the students and the university but also the environment.

Sponsors of this project are not only contributing to the successful achievement of the overall Suntrakker project but will also enhance their goodwill, advertising, and name promotion by association with the project. In addition, the Suntrakker offers a unique opportunity for the companies who can donate parts and accessories to showcase their name and test field their products in public in this highly publicized international contest.

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For each transaction below, enter its value and sign, and whether it belongs to the current or financial accounts. Compute the Current Account Balance, the Financial Account Balance, and indicate whether there is a Balance of Payment surplus or a Balance of Payments deficit (i.e. compute the Balance of Official Settlements).

a. A French wine consultant is hired to advise wineries in Napa on wine tasting. The Napa wineries pay the consultant $300, which the (French) consultant keeps in a bank account in Napa.

b. The United States Treasury pays interest on T-bills held by Black Rock, a British Bank, for $200. The bank holds the US dollars in a London account.

c. The European Central Bank purchases $100 from a New York bank, paying with euros that the New York bank holds in a bank in Frankfurt.

d. A Chinese holding company buys IMB, and American company, by acquiring its shares in the American stock market. The Chinese firm pays $400 to acquire IMB, and it pays with US dollars it had in its accounts.

e. The import of kimonos from Japan to the United States for $100. The American importer pays for the kimonos in Japanese yen, which the importer held in an account in Tokyo.

Is there a linear relationship between the obesity rates and infant mortality for countries in the Global Health Summary data set? Investigate the relationship between obesity rates and infant mortality by using StatCrunch and complete the parts below.

1. Use the Simple Linear Regression feature in StatCrunch to construct the regression model and scatterplot to compare the obesity rate (x-variable) to the infant deaths per 1000 (y-variable). Insert the results in the space below. (TIP: You need to insert both the linear regression information and the scatterplot.)

<insert graphic here>

2. Report the correlation coefficient (r) and write the equation for the linear relationship as ____Locate the critical value for correlation coefficients with a sample size of thirty or higher. (If necessary, round your answers to the nearest hundredth.)

3. Determine if there is a valid linear relationship between obesity rates and infant mortality rates. To receive full credit, your answer should make use of the correlation coefficient and the critical value. If there is a linear relationship, describe how the two variables are related.

4. Would it be appropriate to conclude a cause-and-effect relationship between obesity rates and infant mortality rates? Explain why or why not.

5. Identify at least one confounding or lurking variable and describe how it may be related to obesity rates and infant mortality rates. (Tip: You will need to think beyond the data set for this question.)

Is there a linear relationship between the obesity rates and infant mortality for countries in the Global Health Summary data set? Investigate the relationship between obesity rates and infant mortality by using StatCrunch and complete the parts below.

1. Use the Simple Linear Regression feature in StatCrunch to construct the regression model and scatterplot to compare the obesity rate (x-variable) to the infant deaths per 1000 (y-variable). Insert the results in the space below. (TIP: You need to insert both the linear regression information and the scatterplot.)

<insert graphic here>

2. Report the correlation coefficient (r) and write the equation for the linear relationship as ____Locate the critical value for correlation coefficients with a sample size of thirty or higher. (If necessary, round your answers to the nearest hundredth.)

3. Determine if there is a valid linear relationship between obesity rates and infant mortality rates. To receive full credit, your answer should make use of the correlation coefficient and the critical value. If there is a linear relationship, describe how the two variables are related.

4. Would it be appropriate to conclude a cause-and-effect relationship between obesity rates and infant mortality rates? Explain why or why not.

5. Identify at least one confounding or lurking variable and describe how it may be related to obesity rates and infant mortality rates. (Tip: You will need to think beyond the data set for this question.)

Is there a linear relationship between the obesity rates and infant mortality for countries in the Global Health Summary data set? Investigate the relationship between obesity rates and infant mortality by using StatCrunch and complete the parts below.

1. Use the Simple Linear Regression feature in StatCrunch to construct the regression model and scatterplot to compare the obesity rate (x-variable) to the infant deaths per 1000 (y-variable). Insert the results in the space below. (TIP: You need to insert both the linear regression information and the scatterplot.)

<insert graphic from StatCrunch here>

2. Report the correlation coefficient (r) and write the equation for the linear relationship as ____Locate the critical value for correlation coefficients with a sample size of thirty or higher. (If necessary, round your answers to the nearest hundredth.)

3. Determine if there is a valid linear relationship between obesity rates and infant mortality rates. To receive full credit, your answer should make use of the correlation coefficient and the critical value. If there is a linear relationship, describe how the two variables are related.

4. Would it be appropriate to conclude a cause-and-effect relationship between obesity rates and infant mortality rates? Explain why or why not.

5. Identify at least one confounding or lurking variable and describe how it may be related to obesity rates and infant mortality rates. (Tip: You will need to think beyond the data set for this question.)

Is there a linear relationship between the obesity rates and infant mortality for countries in the Global Health Summary data set? Investigate the relationship between obesity rates and infant mortality by using StatCrunch and complete the parts below.

1. Use the Simple Linear Regression feature in StatCrunch to construct the regression model and scatterplot to compare the obesity rate (x-variable) to the infant deaths per 1000 (y-variable). Insert the results in the space below. (TIP: You need to insert both the linear regression information and the scatterplot.)

<insert graphic from StatCrunch here>

2. Report the correlation coefficient (r) and write the equation for the linear relationship as ____Locate the critical value for correlation coefficients with a sample size of thirty or higher. (If necessary, round your answers to the nearest hundredth.)

3. Determine if there is a valid linear relationship between obesity rates and infant mortality rates. To receive full credit, your answer should make use of the correlation coefficient and the critical value. If there is a linear relationship, describe how the two variables are related.

4. Would it be appropriate to conclude a cause-and-effect relationship between obesity rates and infant mortality rates? Explain why or why not.

5. Identify at least one confounding or lurking variable and describe how it may be related to obesity rates and infant mortality rates. (Tip: You will need to think beyond the data set for this question.)

In 2016, the World Health Organization estimated that the average life expectancy at birth worldwide was 72 years[1]. (This includes all countries of the world, not just the countries in the sample.)

Complete the steps below to carry out a one-mean hypothesis test to test the claim that the average life expectancy has increased beyond the global average using a 5% significance level.

Let mean = the average life expectancy of a person at birth (globally).

1. State your Null and Alternative Hypothesis symbolically. (You may need to copy and paste symbols.)
2. Verify that the conditions of the one-mean hypothesis test are satisfied.

3. calculate the test statistic and p-value. Round your answer to the nearest thousandth. Insert the results from the hypothesis test from StatCrunch in the space provided.

Test Statistic:

p-value:

4. Determine if you should Reject null hypothesis or fail to reject the null hypothesis. Use the significance level and your p-value to explain how you made your decision.

5. Using sentences, write your conclusion using the context of the problem.

[1] Source: World Health Organization.

Credit Card Transactions:

September26: Credit card payment $9,000.

September28: Paid net wages to 4 employees @$1082 each after withholding tax of @$118 per employee. Guaranteed super is 9.5% on gross salary. You will mention the name of each employed as a payee.

September 28: Received Electricity bill $231 including GST. The bill is not yet paid.

September 30: Bank charged account fees $10.        

1. Prepare Profit and Loss Statement for the month ended on 30th September2020 and Balance Sheet at 30th September2020.

Warnerwoods Company uses a perpetual inventory system. It entered into the following purchases and sales transactions for March.
  

4. Compute gross profit earned by the company for each of the four costing methods. For specific identification, the March 9 sale consisted of 80 units from beginning inventory and 340 units from the March 5 purchase; the March 29 sale consisted of 40 units from the March 18 purchase and 120 units from the March 25 purchase. (Round weighted average cost per unit to two decimals.)
  

1. Identify three applications of information systems at the college or the university that you are attending. Write three applications, and provide an example of the type of decisions that are being improved by each application.

2.  RFID tags are being increasingly used by companies such as Macy's, Walmart, and Home Depot. Identify an additional company that uses RFIDs and describe the company’s specific application of RFIDs.