The rising importance of big-data computing stems from advances in many different technologies. Some of these include:
How does these technologies play a role in global computing and big data?
Portfolio Project: This week discuss a current business process in a specific industry.
Note the following:
-The current business process itself.
-The industry the business process is utilized in.
After explaining the current situation, take the current learning from the course and:
Explain a new technology that the business should deploy.
Be specific, don’t only note the type of technology but the specific instance of technology. (For example, a type of technology is smart automation a specific type of automation is automated light-dimming technology).
Note the pros and cons of the technology selected.
Note various factors the business should consider prior to deploying the new technology.
The companies with cases in the text – you can’t use the same subject matter of those cases. As such no case content within the text is to be used for this assignment. The purpose is for you to do research not to restate a case in the textbook. As well, no content from any of your prior work is to be reused including your Residency paper. In a nutshell, content must be new and unique as well as the business (so if you wrote on Amazon in any of your papers, you need to select a different company). Remember that the text as well as your former papers are all in the SafeAssign data repository and will bring back a high percentage rate indicating plagiarism from your former work which is not acceptable. SafeAssign should be below 25% and your subject matter for this assignment needs to be new.
The above submission should be three pages in length. Remember the total length does not include the APA approved cover page or the references. There should be at least three APA approved references to support your work, one being your text. I would expect to see approximately 4-8 in-text citations.
Discussion:
This week we discuss the overall process of developing new software. Please also note the differences between software development and methods (200 to 300 words) references
Exercise
can you provide a few cloud computing Concepts used in information Technology in 500 words
Style Guides and Navigation Features
This is NOT you casually talking about topics.
You should be REPORTING EVIDENCE and EXAMPLES from what you read.
By using this rubric have to write a 15page research paper on any computer science topic of interest, Final research paper results should show less than 5% as per safe-assign.
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?
Please write a research paper that answers the following questions:
Your paper should meet the following requirements:
What is considered a systematic review of literature? Why is it important to incorporate into your support of evidence?
The journal articles focus on empowering leadership and effective collaboration in geographically dispersed teams, please answer the following questions:
How do geographically dispersed teams collaborate effectively?
Please find at least three tools on the market that teams can use to collaborate on a geographically dispersed team. Please note the pros and cons of each tool.
Based on the research above, note which tool you would select if you were managing the geographically dispersed team and why.
Please be sure that journal articles are peer-reviewed and are published within the last five years.
The paper should meet the following requirements:
3-5 pages in length (not including title page or references)
APA guidelines must be followed. The paper must include a cover page, an introduction, a body with fully developed content, and a conclusion.
A minimum of five peer-reviewed journal articles.
