Monthly Archives: January 2024

Explaining how the work was related to studies.

Need an explantion of Masters in Computer science all the subjects and how its was helpful for my work environment as a Software Engineer/Programer Analyst.

 Write a brief paper in APA format of 500-1000 words that respond to the following questions with your thoughts, ideas, and comments. Be substantive and clear, and include the tables below to support your findings. Refer to the APA Sample Research Paper as a template for your write up.

A survey was conducted to analyze the debt of individuals in the United States. A researcher obtained this secondary data and ran Chi-Square and Crosstabulation analyses to determine if people who defaulted on loans is associated the level of education they completed. Additionally, the researcher wanted to determine which education level(s) are more likely to default on a loan. The results of his analyses are provided below.

Write the Results section of the paper and present the results using appropriate APA-formatted tables and figures. Include one research question and one set of an aligned null and alternative hypothesis to address the research goals outlined above. Follow all APA conventions and include the proper APA statistical notation. A clustered bar chart comparing the number of people who defaulted or did not default on a loan, for each education level, is included to help the reader visualized the data and should be included in your paper as an APA-formatted figure.

Need 6-7 pages atleast including 2 pages of section1 , 3 pages of section#2 and  2 pages of conclusion Section 3&4 

Paper Section 1: Reflection and Literature Review

Using Microsoft Word and Professional APA format, prepare a professional written paper supported with three sources of research that details what you have learned from chapters 13 and 14.  This section of the paper should be a minimum of two pages. 

Paper Section 2:  Applied Learning Exercises

In this section of the professional paper, apply what you have learned from chapters 13 and 14 to descriptively address and answer the problems below.  

1. Go to cloudera.com, MapR.com, hortonworks.com, or marklogic.com or in combination to find at least three customer case studies on Hadoop implementation, and then discuss the commonalities and differences of these cases.
2. Search the job search sites like monster.com, careerbuilder.com, and so forth. Find at least five job postings for data scientist. Identify the key characteristics and skills expected from the applicants and based on what you are learned in this class, how high is your motivation now to seek these types of career choices?

Paper Section 3:  Conclusions (Part 1)

After addressing the problems, conclude your paper with details on how you will use this knowledge and skills to support your professional and or academic goals. This section of the paper should be around one page including a custom and original process flow or flow diagram to visually represent how you will apply this knowledge going forward.  

Paper Section 4:  Overall Course Conclusions and Reflection (Part 2)

After the primary conclusion of this paper, extend this conclusion into an overall class conclusion and reflection providing at least 500 additional words of how the knowledge, skills, or theories of this course have been applied, or could be applied, in a practical manner to your current or future work environment. 

Discuss activities that occur during the problem definition phase of the system development life cycle. 

Describe at least THREE ACTIVITIES that you consider most important and why.

From your research, discuss whether or not your organization has ISO 27001 certification. Outside of overall protection from cyber-attacks, describe, in detail, some other benefits your organization will achieve in obtaining this certification. If your company does not have this certification, how can they go about obtaining it?

Present your discussion post as if you were presenting to senior leaders of your company.

At least one scholarly source should be used in the initial discussion thread. Be sure to use information from your readings and other sources from the UC Library. Use proper citations and references in your post.

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? 

Assignment Content

1. Based on your previous work in the previous week, create a 700-word entry in your Database Management Plan. You will use information from this entry in your presentation due in Week 6. Ensure you:
   • List the benefits of data administration compared to database administration.
   • Propose an effective data governance program.
   • Define the standards and approaches for the validation of database and application code.These include coding standards, expectations for what has been checked at each stage of testing (unit test, system test, user test), expectations for code review or inspection, etc.
   • Submit your assignment.

Question:

Provide an example from the last two years of unethical leadership and explain why the leadership was unethical. Describe what ethical leadership would have done in the situation. Provide links to additional information about this unethical leadership event.

• Your answer must be substantive, which usually requires 300 or more words
• Your answer must be well written and well organized
• Your answer must include one properly formatted APA in-text citation to a scholarly reference other than the assigned course reading. The full reference must be provided at the end of your answer with a link if one is available.

Due in next 4 days.

Please read the four documents and reply back with the responses with 150 words