Prompt: Drawing upon one of the problems identified in your problem catalog, find a recent article that promotes a linear, non-system approach to resolving the problem. Then, write a letter to the editor of that article’s publication pointing out the limitations of the linear approach and supplying instead a systems perspective to the problem.
The guidelines for most publications require that letters to the editor be succinct. Your letter to the editor should be no more than 200 words in length. If you feel passionate about the problem you have identified, consider submitting your letter to the publication. Before doing so, be sure to research the publication’s guidelines for submission.
Specifically, the following critical elements must be addressed:
Letter addresses the limitations of a linear approach to identified problem.
Letter applies a systems perspective to the problem.
Guidelines for Submission: Your letter to the editor should be submitted as a 1-page Microsoft Word document and should be no more than 200 words in length
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Additionally, briefly review the NTSB Board Meeting Resources (listed below) for US Airways Flight 1549 January 15, 2009 ditching on the Hudson River in New York City to gain a better perspective of the roles technical experts play, and the valuable content and resources developed:
For a simple to follow history of the changes to the MIL-STD-882 series and highlights of the changes that were made through version D (the latest version is now E but the discussion has not been updated as of yet), review these slides from Robert Smith’s presentation at a National Defense Industrial Association (NDIA) conference in 2008.Update on Revisions to MIL-STD-882 (PDF)
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The data correspond to yields (in tons per hectare) of a pasture with 3 levels of nitrogen fertilizers, the design was randomized, applied in 5 plots per treatment (blocks).
You want to know if the performance was different in the treatments.
Check the hypothesis with = 0.01%
Nitrogen Levels
1
2
3
Plot 1
14.823
25.151
32.605
Plot 2
14.676
25.401
32.46
Plot 3
14.72
25.131
32.256
Plot 4
14.514
25.031
32.669
Plot 5
15.065
25.277
32.111
Problem #2.
A product development engineer wants to maximize the tensile strength of a new synthetic fiber that will be used to make shirts. From experience, it appears that strength (or strength) is influenced by the% cotton present in the fiber.
It is also suspected that high cotton values negatively affect other quality qualities that are desired (for example: that the fiber can receive a permanent press treatment).
Faced with this situation, the engineer decides to take five samples for different levels of cotton and measure the strength of the fibers thus produced.
Cotton %
Observations (strengths of the 25 manufactured fibers)
Total
Average
15%
7
7
15
11
9
49
9.8
20%
12
17
12
18
18
77
15.4
25%
14
18
18
19
19
88
17.6
30%
19
25
22
19
23
108
21.6
35%
7
10
11
15
11
54
10.8
Total sum of the 25 Strength values obtained
376
15.04
Problem # 3 Full factorial example
Data Source
This example uses data from a NIST high performance ceramics experiment
This data set was taken from an experiment that was performed a few years ago at NIST by Said Jahanmir of the Ceramics Division in the Material Science and Engineering Laboratory. The original analysis was performed primarily by Lisa Gill of the Statistical Engineering Division. Do the DOE set up and analysis and find the significant factors affecting your response.
The original data set was part of a high performance ceramics experiment with the goal of characterizing the effect of grinding parameters on sintered reaction-bonded silicon nitride, reaction bonded silicone nitride, and sintered silicon nitride.
Description of Experiment: Response and Factors
Response and factor variables
Purpose: To determine the effect of machining factors on ceramic strength Response variable = mean (over 15 repetitions) of the ceramic strength Number of observations = 32 (a complete 25 factorial design)
Response Variable Y = Mean (over 15 reps) of Ceramic Strength Factor 1 = Table Speed (2 levels: slow (.025 m/s) and fast (.125 m/s)) Factor 2 = Down Feed Rate (2 levels: slow (.05 mm) and fast (.125 mm)) Factor 3 = Wheel Grit (2 levels: 140/170 and 80/100) Factor 4 = Direction (2 levels: longitudinal and transverse) Factor 5 = Batch (2 levels: 1 and 2)
The data
The design matrix, with measured ceramic strength responses, appears below. The actual randomized run order is given in the last column.
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A country initially has a population of four million people and is increasing at a rate of 5% per year. If the country’s annual food supply is initially adequate for eight million people and is increasing at a constant rate adequate for an additional 0.25 million people per year.
a. Based on these assumptions, in approximately what year will this country first experience shortages of food?
b. If the country doubled its initial food supply and maintained a constant rate of increase in the supply adequate for an additional 0.25 million people per year, would shortages still occur? In approximately which year?
c. If the country doubled the rate at which its food supply increases, in addition to doubling its initial food supply, would shortages still occur?
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LotCode: A unique code that identifies the parking lot
This assignment illustrates how data analytics can be used to create strategies for sustainable organizational success while integrating the organization’s mission with societal values. You’ll apply statistical time series modeling techniques to identify patterns and develop time-dependent demand models. You’ll practice organizing and delivering a presentation to senior decision-makers. The PowerPoint presentation includes an audio component in addition to speaker notes.
Resource: Microsoft Excel, DAT565_v3_Wk6_Data_File
Scenario: A city’s administration isn’t driven by the goal of maximizing revenues or profits but instead looks at improving the quality of life of its residents. Many American cities are confronted with high traffic and congestion. Finding parking spaces, whether in the street or a parking lot, can be time-consuming and contribute to congestion. Some cities have rolled out data-driven parking space management to reduce congestion and make traffic more fluid.
You’re a data analyst working for a mid-size city that has anticipated significant increments in population and car traffic. The city is evaluating whether it makes sense to invest in infrastructure to count and report the number of parking spaces available at the different parking lots downtown. This data would be collected and processed in real-time, feeding an app that motorists can access to find parking space availability in different parking lots throughout the city.
Instructions: Work with the provided Excel database. This database has the following columns:
LotCode: A unique code that identifies the parking lot
LotCapacity: A number with the respective parking lot capacity
LotOccupancy: A number with the current number of cars in the parking lot
TimeStamp: A day/time combination indicating the moment when occupancy was measured
Day: The day of the week corresponding to the TimeStamp
Insert a new column, OccupancyRate, recording occupancy rate as a percentage with one decimal. For instance, if the current LotOccupancy is 61 and LotCapacity is 577, then the OccupancyRate would be reported as 10.6 (or 10.6%).
Using the OccupancyRate and Day columns, construct box plots for each day of the week. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Is the median occupancy rate approximately the same throughout the week? If not, which days have lower median occupancy rates? Which days have higher median occupancy rates? Is this what you expected?
Using the OccupancyRate and LotCode columns, construct box plots for each parking lot. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Do all parking lots experience approximately equal occupancy rates? Are some parking lots more frequented than others? Is this what you expected?
Select any 2 parking lots. For each one, prepare a scatter plot showing the occupancy rate against TimeStamp for the week 11/20/2016 –11/26/2016. Are occupancy rates time-dependent? If so, which times seem to experience the highest occupancy rates? Is this what you expected?
Presentation:
Create a 10- to 12-slide presentation with speaker notes and audio. Your audience is the City Council members who are responsible for deciding whether the city invests in resources to set in motion the smart parking space app.
Complete the following in your presentation:
Outline the rationale and goals of the project.
Utilize boxplots showing the occupancy rates for each day of the week. Include your interpretation of the results.
Utilize box plots showing the occupancy rates for each parking lot. Include your interpretation of the results.
Provide scatter plots showing occupancy rate against the time of day of your selected four parking lots. Include your interpretation of the results.
Make a recommendation about continuing with the implementation of this project.
Research question: According to African citizens how does/ has the level of democracy in their country affect economic growth.
Variables in Afrobarometer set Q43A_ARB & Q46A
Write a 2- to 3-paragraph analysis of your correlation and bivariate regression results for each research question. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES. Do not forget to evaluate if the correlation and bivariate regression assumptions are met and report the effect size. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.
Use proper APA format, citations, and referencing for your analysis, research question, and display of output.
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Post a total of 3 substantive responses over 2 separate days for full participation. This includes your initial post and 2 replies to other students or your faculty member.
Due Day 3
Time series are particularly useful to track variables such as revenues, costs, and profits over time. Time series models help evaluate performance and make predictions. Consider the following and respond in a minimum of 175 words:
Time series decomposition seeks to separate the time series (Y) into 4 components: trend (T), cycle (C), seasonal (S), and irregular (I). What is the difference between these components?
The model can be additive or multiplicative.When we do use an additive model? When do we use a multiplicative model?
The following list gives the gross federal debt(in millions of dollars) for the U.S. every 5 years from 1945 to 2000:
Year Gross Federal Debt ($millions)
1945 260,123
1950 256,853
1955 274,366
1960 290,525
1965 322,318
1970 380,921
1975 541,925
1980 909,050
1985 1,817,521
1990 3,206,564
1995 4,921,005
2000 5,686,338
Construct a scatter plot with this data. Do you observe a trend? If so, what type of trend do you observe?
Use Excel to fit a linear trend and an exponential trend to the data. Display the models and their respective r^2.
Interpret both models. Which model seems to be more appropriate? Why?
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Coursework is more than just homework. It counts towards the final examination marks, and the percentage depending on the subject taken and individual examination boards. It has many forms – from creative work in art or design, to statistical work perhaps in science and psychology. It can include essays, reviews, and all sorts of things. Most students are taking several subjects and too often all the coursework in these various topic areas seems to be due at the same time. It can get to the point where you have to consider which piece of work should take priority. Choosing one work over another can, in most cases, be detrimental to your education and grading. This is when you may want to consider professional help from experts. We can do this in any way you wish! We offer flexibility to do parts of the work as needed over time or all at once.
Introduction to the Problem Assignment Instructions
Overview
In the Introduction to the Problem section of an educational report, you will introduce the reader to the problem of practice. A problem of practice is any identified educational area that focuses on processes or practices that are observable and measurable and that may be improved upon or solved. The Introduction to the Problem should begin with a clear statement of the problem.
Instructions
For this assignment, you will use the information from the textbook reading this week to write an Introduction to the Problem that you are interested in solving or improving for your applied research study. This is a 3-page assignment.
• The first page should be a correctly formatted (current APA style) title page that includes the title of your study.• The second page should include a well-developed, and concisely written, Introduction to the Problem for your study. At least one citation from a scholarly peer-reviewed journal article published within the past 5 years must be included. • The third page should be a correctly formatted Reference page with at least one reference. • See the example provided.
You must apply the information from the textbook reading to be successful on this assignment
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