Provide a real-world example or describe a hypothetical situation in which a legitimate organization used spam in an effective and nonintrusive manner to promote a product or service

APA format-250 words

Topic:

The three project potential selections are home addition, garage conversions to an apartment, and a flash mob projects.

Work with the project team to identify and discuss three (3) potential projects.  Discuss which of the available projects are suitable based on the team’s composition.

Review the following article on SMART Projects. 

Haughey, D. (2016). Smart goals. Retrieved from https://www.projectsmart.co.uk/smart-goals.php 

Draft:

Project managers are responsible for every aspect of a project, from its start date until project completion. A project is something that is intended to have short shelf life and is an activity of manufacturing something that is useful and different in nature (Management Study Guide, 2021 para. 1). This paper will describe and detail the reason for selection of the groups top project, predicated on the project’s anticipated goals, benefits, and key success criteria. The group selected the home addition as their top project. This paper will also describe the three potential projects the team discussed, analyzed, and selected. 

The three project potential selections are home addition, garage conversions to an apartment, and a flash mob projects.

Potential Projects

Project Selection

Summary Paragraph

Write a 6-8 page paper (deliverable length does not include the title and reference pages)

• What are the principles and limitations to an individual’s right to privacy?
• What are the trade offs between security and privacy?
• What is the issue of freedom of speech versus the protection of children online?

Due: Assignment is due on the day stated in  the Course Schedule

• Provide three articles to substantiate the above three questions.
• Use APA format to provide a citation for each of the articles you read.
• Suggestion: Use a search engine (Google) and keywords.

Final Exam DPEE

Note: 

· For demonstrating conceptual understanding, you are required to work on the model that is easier to handle or compute, not necessarily the more suitable (or more complicated) model for the dataset. Follow the question description. 

· You don’t need to check the assumption of a model unless the question asks for it. For example, if the question asks you to make prediction based on a model, you don’t need to check the assumption for the model before making prediction. 

· For any of the testing (hypothesis test) problem, define Ho/Ha, compute the test statistic, report the exact p value, and state the conclusion. The default alpha value is 5%, unless specify. 

· Elaborate your reasoning clearly and show relevant plots, R results, and tables to support your opinion in each step and conclusion. 

· Submit the Rmd file and the corresponding pdf file knitted from it, along with your answer, this format is similar to your homework. 

· The data is real, just like the project you are working on. Hence it is possible that even after the remedial method has been done, the model is still not perfect. When this happens, evaluation will be based on the level you execute the methods covered in Stat512 to improve the model. Don’t worry if your model is not perfect, try your best to demonstrate the skill set you learn in this class. 

Study the data with a linear analysis and complete the problems. The data set, dataDPEE.csv has 3 continues predictors and two categorical predictors. 

Problem 1. Consider only the first order model with X1, X2 and X3, perform the following hypothesis. 

a. (10) whether X1 can be dropped from the full model. 

> dpeemod <- lm(y ~ x1 + x2 + x3)

> plot(dpee)

> summary(dpeemod)

Call:

lm(formula = y ~ x1 + x2 + x3)

Residuals:

Min 1Q Median  3Q Max 

-15.948 -11.640 -1.480 6.402 31.650 

Coefficients:

Estimate Std. Error t value Pr(>|t|) 

(Intercept) 90.79017 22.07408 4.113 0.00106 **

x1 -0.68731 0.47959 -1.433 0.17377 

x2 -0.47047 0.24227 -1.942 0.07254 . 

x3 -0.06845 0.46523 -0.147 0.88513 

—

Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 14.75 on 14 degrees of freedom

Multiple R-squared: 0.6257, Adjusted R-squared: 0.5455 

F-statistic: 7.8 on 3 and 14 DF, p-value: 0.002652

Ho: X1 is significant and cannot be dropped from the model.

Ha: X1 can be dropped from the model. 

Using the model Y~X1 + X2 + X3, 

b. (10) whether X1 can be dropped from the model containing only X1 and X2. 

Problem 2 (10) Consider the first order model with X1, X2 and X3, simultaneously estimate parameters (beta1, beta2 and beta3)  with a confidence level of 75%. 

Problem 3 (20) Perform appropriate analysis to diagnose the potential issues with the first order full mode with X1 X2 and X3, improve the model as much as possible with the methods covered in Stat512. You should also consider the assumption checking for your revised model.  

Problem 4 

a. (10) Compute AIC, BIC, and PRESSP to compare the following two models. 

· The model on the first order terms for X1 and X2 and the interaction term X1X2.

· The model on the first order terms for X1, X2 and X3 

Do they all yield the same better model? If not, explain. 

b. (10) Select the model that you think is better to predict the mean response value, then predict the mean response for the following case, at a confident level of 99%. 

x1

x2

x3

45

36

45

Problem 5 

X4 and X5 are two factors on Y.

a. (10) Is there any significant interaction effect between X4 and X5 on Y? 

b. (10) With the ANOVA method, compute the 95% confidence interval for the following difference, respectively: 

D1= The difference in the mean of Y when (X4=high, X5=less) and (X4=high, X5=more) 

D2= The difference in the mean of Y when (X4=low, X5=less) and (X4=low, X5=more) 

c. (10) With the ANOVA method, compute the 95% confidence interval for 

D1-D2

Where D1 and D2 are described in b. 

How is your result related to a? 

Read the attached doc file

Complete the Developing Intimacy with your Data Exercise located at the following link:

Working With Data (Click chapter 4 and then exercises)

Submit a brief paper discussing:

• Why you selected your data set?
• What are the physical properties of the data set?
• What could you do/would you need to do to clean or modify the existing data to create new values to work with? 
• What other data could you imagine would be valuable to consolidate the existing data?

Include a screenshot showing your using R, SQL, or Python to perform a manipulation of your data.

Exercises

DEVELOPING INTIMACY WITH YOUR DATA

This exercise involves you working with a dataset of your choosing. Visit the Kaggle website, browse through the options and find a dataset of interest, then follow the simple instructions to download it. With acquisition completed, work through the remaining key steps of examining, transforming and exploring your data to develop a robust familiarisation with its potential offering:

Examination: Thoroughly examine the physical properties (type, size, condition) of your dataset, noting down useful observations or descriptions where relevant.

Transformation: What could you do/would you need to do to clean or modify the existing data to create new values to work with? What other data could you imagine would be valuable to consolidate the existing data?

Exploration: Using a tool of your choice (such as Excel, Tableau, R) to visually explore the dataset in order to deepen your appreciation of the physical properties and their discoverable qualities (insights) to help you cement your understanding of their respective value. If you don’t have scope or time to use a tool, use your imagination to consider what angles of analysis you might explore if you had the opportunity? What piques your interest about this subject?

(You can, of course, repeat this exercise on any subject and any dataset of your choice, not just those on Kaggle.)

Designing Team and Team Identity

Part 1: Our text book lists about twelve elements that a manager should consider when designing a team (This is not a design team, this is building or hiring a team of people) Choose two elements that you think are most important.  Define them and explain why these two are most important. Would you choose the same two for a face to face team and a virtual team? If you were a manager and were given a team of five 30-year-old males from the United States and you could hire one more person for the team, would you hire a female from France?  why or why not?

Part 2: Do you feel more attached to your work team, your class team or your ‘team of family and friends?’  Do each of these ‘teams’ have a different identity?  What is the difference?

Need 300 – 400 content including references.

This task relates to a sequence of assessments that will be repeated across Chapters 6, 7, 8, 9 and 10. Select any example of a visualisation or infographic, maybe your own work or that of others. The task is to undertake a deep, detailed ‘forensic’ like assessment of the design choices made across each of the five layers of the chosen visualisation’s anatomy. In each case your assessment is only concerned with one design layer at a time.

For this task, take a close look at the colour choices:

1. Start by identifying all the applications of colour deployed, listing them under the headers of 1) data legibility, 2) editorial salience, and 3) functional harmony.
2. How suitable are the choices and deployment of these colours? If they are not, what do you think they should have been?
3. Go through the set of ‘Influencing factors’ from the latter section of the book’s chapter to help shape your assessment and to possibly inform how you might tackle this design layer differently
4. Also, considering the range of potential applications of colour, what would you do differently or additionally?

Assignment Link: http://book.visualisingdata.com/chapter/chapter-9

Assignment Requirements: At least 500 words in length

References: At least two peer-reviewed, scholarly journal references.

 discuss the importance of the personnel assigned to the Disaster Recovery Team and their role.  You can use outside research, or your personal work experiences as your basis for discussion. 

Security practitioners suggest that key IoT security steps include:

1) Make people aware that there is a threat to security;

2) Design a technical solution to reduce security vulnerabilities;

3) Align the legal and regulatory frameworks; and

4) Develop a workforce with the skills to handle IoT security.

Final Assignment – Project Plan (Deliverables):

Address each of the FOUR IoT security steps listed above in terms of IoT devices.

Explain in detail, in a step-by-step guide, how to make people more aware of the problems associated with the use of IoT devices.