Category: Analytics

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Topic: Teaching Effective Supervisor Skills
Instructions: This project requires you to develop a PowerPoint slide presentation for use as a training tool with brand new supervisors! You are in charge of presenting them with information on how to transition from a worker to a supervisor. There is great satisfaction in taking a brand new employee, helping them to develop their Management, Coaching, and Leadership skills, and then watching them excel! With this in mind, your presentation should have a title slide, an overview, and a body of slides for the audience. You should focus the majority of your presentation (i.e., 8-10 slides) on what challenges a new supervisor may face, what makes a good supervisor (or bad one), and how to transition to becoming a supervisor. Factors to consider in all forms of communication–Who is your audience? What is your message? Are you trying to persuade? Inform?
Here are some guidelines to get you started: You are the Day Shift Supervisor and are going to brief a small group of newly-promoted team leads with little or no past leadership experience. They have all worked up through the ranks at the Always Smiling Toothbrush manufacturing facility. Your audience ages are anywhere from 25-55 years of age, with various business backgrounds, some with military experience, and some that have been in a little trouble before but now want to move up in the company. Many of them have good friends still in lower positions and will have a struggle adjusting. Have fun with some of the topics and graphics of course!
Submission Instructions: IMPORTANT! Save and submit your work as a PowerPoint Presentation with speaker notes
Link here on how to do this in PPT
The body of your presentation should include at least 8-10 presentation slides, in addition to a title slide, introduction slide(s), and references at the end of your presentation for a total of no more than 15 slides. PowerPoint presentations longer than 15 slides will not be read after the 15th slide. As such, please ensure that all assignment questions are answered within the first 15 slides, as your grade will be based on the first 15 slides received.
Your grade will be based on your ability to follow assignment instructions, research conducted, the effectiveness of the training proposed, critical thinking and analysis, and APA 7th edition format.
Please support your ideas, arguments, and opinions with independent research, include at least three (3) supporting references or sources (do NOT use your textbook as one of the three required references, or encyclopedias, Wikipedia, unknown, undated, or anonymous sources, such as brief articles from websites), include a reference section (i.e., 1-2 slides), and cite all sources properly in the text of each slide, in accordance with the 7th edition of the APA manual.
Helpful Tips
I encourage you to go online to Purdue OWL, or Excelsior OWL, which has excellent writing labs for students. Look up PowerPoint presentations in APA format in the search box. These websites will have helpful tips on best practices. TED talks are also another great source of good information.
References:
Excelsior OWL: 
Purdue OWL: 
Reminder:
Please ensure that you review the grading rubric for this assignment carefully, to ensure that you receive the highest possible grade for your work!
Attached to these instructions, you will find “Keys to a Successful Presentation” to give you some visual clues for proper formatting/organization
Due on Feb 25, 2024 11:55 PM
Attachments
APUS_Key to Successful Presentations.pptx (593.92 KB) Download All Files
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Instructions
Learning Objectives
Examine the process involved with problem formulation.
Apply critical thinking to problem identification.
Evaluate ethical implications of a decision.
Prompt:
Choose an editorial article from within the past 5 years (An editorial is an article that presents the writer’s opinion on an issue supported with facts) from the New York Times, the Wall Street Journal or browse the library and choose an editorial that addresses a business issue that interests you.
Instructions:
Write an essay describing the following:
Citation of the article and a brief summary of its contents
What are the premise(s) in the article?
What evidence is presented? Is it credible?
Can you independently verify the evidence presented?
How are counterarguments addressed?
Does the writer represent a particular interest?
How is language used to develop the argument?
Do you detect any errors in knowledge, evidence, or thinking?
Does the writer use any types of appeals or commit any fallacies?
Overall, how compelling is this article?
Be certain to carefully research your analysis using at least 4 credible sources properly incorporated. Your submission should be 4-6 pages in length minimum and should be a thorough representation of your ability to critically think through the steps above. Use the template provided to ensure you are following APA format. This assignment is worth 14% of your final grade.
Grading Rubric:
A rubric is provided for your convenience that details how this assignment will be graded. Please review it carefully prior to submitting your assignment. If the grading rubric does not auto-populate here, please see it by visiting the Assignment details under Course Tools.

For this assessment:
Use the Data Analysis and Application template (DAA Template [DOCX] Download DAA Template [DOCX]).
For help with the statistical software, refer to the JASP Step-by-Step: t Tests [PDF] Download JASP Step-by-Step: t Tests [PDF]document.
View JASP Speedrun: t Test [Video] for a brief tutorial video on this assessment.
For information on the data set, refer to the 7864 Data Set Instructions [PDF] Download 7864 Data Set Instructions [PDF]document.
The grades.jasp Download grades.jaspfile is a sample data set. The data represent a teacher’s recording of student demographics and performance on quizzes and a final exam across three sections of the course.
You will analyze the following variables in the grades.jasp Download grades.jaspdata set:
Variables and Definitions
Variable Definition
Review Attended review sessions? 1 = no; 2 = yes.
Final Final exam: number of correct answers.
Step 1: Write Section 1 of the DAA: Data Analysis Plan
Name the variables used in this analysis and whether they are categorical or continuous.
State a research question, null hypothesis, and alternate hypothesis for the independent samples t-test.
Step 2: Write Section 2 of the DAA: Testing Assumptions
Test for one of the assumptions of t tests – equality (homogeneity) of variances.
Create statistical output showing the Levene’s Test for Equality Variances.
Paste the table in the DAA template.
Interpret the Levene’s test.
Step 3: Write Section 3 of the DAA: Results & Interpretation
If the homogeneity assumption is not violated (Section 2), run the “Student” version of the independent samples t-test in the statistical software.
If the homogeneity assumption is violated, run the “Welch” version of the independent samples t-test in the statistical software.
Also run the “Descriptives” option to obtain the means and standard deviations for each group.
Paste the statistical software output of the t test into the DAA template. Below the output:
Report the means and standard deviations for each group.
State the results of the t test.
Interpret the statistical results against the null hypothesis and state whether it is rejected or not rejected.
Step 4: Write Section 4 of the DAA: Statistical Conclusions
Provide a brief summary of your analysis and the conclusions drawn about this t test.
Analyze the limitations of the statistical test and/or possible alternative explanations for your results.
Step 5: Write Section 5 of the DAA: Application
Analyze how you might use the independent samples t test in your field of study.
Name an independent variable and dependent variable that would work for such an analysis and why studying it may be important to the field or practice.
Submit your DAA Template as an attached Word document in the assessment area.
***Variables and Definitions
Variable Definition
Review Attended review sessions? 1 = no; 2 = yes.
Final Final exam: number of correct answers.

Cite the sources:
Describe in detail the recent cybersecurity issue that you selected. How was the enterprise impacted? What could have been done to prevent the incident?
In 2020, the SolarWinds cyberattack, also known as the Sunburst attack, emerged as one of the most significant cybersecurity breaches in history. The attackers, believed to be associated with the Russian Foreign Intelligence Service (SVR), gained access to SolarWinds’ Orion software, a widely used IT management platform. By inserting a malicious code into Orion’s updates, the attackers created a backdoor that allowed them to infiltrate the networks of thousands of SolarWinds’ customers, including several U.S. government agencies and Fortune 500 companies.
Detailed Description of the SolarWinds Cybersecurity Issue:
The SolarWinds cyberattack was executed through a sophisticated supply chain attack. The attackers managed to compromise the software build system of SolarWinds, inserting malware into the Orion software updates between March and June 2020. This malware, known as Sunburst, was distributed to approximately 18,000 SolarWinds customers. Once installed, Sunburst allowed the attackers to perform reconnaissance, exfiltrate data, and potentially deploy additional malware across the affected networks.
Impact on the Enterprise:
The impact of the SolarWinds attack on enterprises was profound:
Data Breach and Espionage: Sensitive information from numerous organizations, including the U.S. Departments of Treasury, Homeland Security, and Commerce, was exposed. The attackers could monitor internal communications and access confidential data.
Financial and Reputational Damage: SolarWinds faced significant financial losses due to the breach, including costs associated with incident response, legal fees, and loss of customer trust. The company’s stock value plummeted, and it faced numerous lawsuits.
Operational Disruption: Organizations affected by the breach had to undertake extensive and costly measures to secure their networks, including disconnecting affected systems, conducting thorough forensic investigations, and deploying security patches.
National Security Risks: The breach posed serious national security risks, as the attackers accessed the networks of several key government agencies, potentially compromising national security information and critical infrastructure.
Preventative Measures:
Several steps could have been taken to prevent the SolarWinds cyberattack:
Enhanced Supply Chain Security: SolarWinds could have implemented stricter security protocols and monitoring for their software build environment to detect and prevent unauthorized changes to their code.
Regular Security Audits: Conducting regular, comprehensive security audits and code reviews could have helped identify and mitigate vulnerabilities within their software development lifecycle.
Multi-Factor Authentication (MFA): Enforcing MFA for accessing critical systems and development environments would have added an extra layer of security, making it harder for attackers to gain access.
Improved Incident Response: SolarWinds and its customers could have benefited from better incident response plans and quicker identification and mitigation of the malware once it was detected.
Threat Intelligence Sharing: Increased collaboration and information sharing between private and public sectors regarding threat intelligence could have provided earlier warning signs and preventive measures.
References:
Healey, J., & Rattray, G. J. (2021). The 2020 SolarWinds cyberattack: Renewed emphasis on supply chain security. Journal of Cybersecurity, 7(1), 14-23.
Krebs, B. (2020). Massive breach fuels new U.S. action on cybersecurity. Krebs on Security. Retrieved from https://krebsonsecurity.com/2020/12/massive-breach-fuels-new-u-s-action-on-cybersecurity/
Turban, E., Pollard, C., & Wood, G. (2021). Information technology for management (12th ed.). John Wiley & Sons, Inc.

Data Analytics with provided sample CSV file or can use other
data sources that are publicly available
To use the CSV file provided (dataanalytics-class-data.csv) or use
other data sources that are publicly available.
literature
review required that critically discusses the concepts
of Data Science & Data Analytics and the difference between the two
concepts in academic and practitioner literature (1000 Words)
Find and
discuss relevant literature (peer-reviewed literature is preferred, such
as journal articles, conference articles, with books, white papers,
practitioner literature).
Using
concepts discussed in the module, and in relation to the dataset selected,
define data analytics problem: (1500 Words)
Problem and
the questions asked should be clear. Also to consider the audience e xplicitly.
You can also discuss here data wrangling issues, problem identification
challenges, and show some basic exploratory analysis.
Using best
practices in storytelling with data, prepare a presentation of the
findings of your analysis that could be used in a board room setting in
order to lead to a decision on the original problem previously defined.
This presentation can either be embedded as a PowerPoint document in the
Word file you submit or be a (sub)section of the document itself (with use
of graphics). (1000 Words)
Using an established
framework (for example, principles of data analytics (see Hicks and Peng
(2019) for reference)), consider the limitations of your analysis, and
possible ways in which this could have been improved had you had more
data, time, etc. Focus more on analysis more than on the quality of the
dataset itself. (500 Words)
Harvard
referencing at least 15 and overall presentation professionalism of the paper
well structed and supported with graphs that will not be counted part of required
wording.

Discuss the types of references you are finding for your paper.  What struggles are you having putting together a reference list for the project? What skills are necessary for doing this assignment and do you have those skills?  If not, how might you obtain them?

This week you are working with your data.  What are some of the issues involved with data collection and storage?  How do they directly apply to you on this project?  What types of data are you using and how are you having to take care in storing and using that data?

Create an 8-10 slide PPT, or some other presentation, that accomplishes the following:
Chose some ethical issue you feel is important (abortion, gun control, climate change, eating meat, anything that can be considered a moral matter – if you are unsure, be sure to clear with your instructor)
Present research on the situation being sure to clearly discuss both sides, as much as possible. Some conundrums will have much more weight on one side than the other such as climate change.
Reiterate the primary theories contained in your moral compass from week 3 and then explain the position on this issue your compass promotes.
Include a proper references/works cited slide (APA or MLA).
For example, say you want to address gender-neutral bathrooms in public buildings. First, present some research from sources promoting that they should exist and from sources promoting they should not. Then reiterate the components of your moral compass as stated in the week three paper. Note, your compass may have evolved and if so, work in the new components. Finally, state your position clearly (they should or should not exist) and how your compass justifies that position.
Keep in mind these best practices, please: 
Proper PPTs have bullets on the slide that are explained in the notes section (see video on how to do this if you do not know how). 
If you intend to narrate the presentation, be sure to include the transcript in the notes section (see PPT on how to insert audio if you do not know and want to give that a shot). 
If, for any reason you are unable to access the notes section, put the transcript/notes in a MS Word document in a numbered list with the numbers matching the slide.
Keep the viewer in mind (teacher). While you might work hard on a 20-minute presentation, few faculty members have the time to watch or listen to it.
Just like papers, clear citations must appear on the slide or in the notes to justify listing a resource as a reference.

Data Collection
Submit data for the project
In addition to submitting data for the project, provide the information listed below as applicable:
Primary/Secondary data
IRB approval if human subjects are involved in primary data collection
Source for secondary data

Regression analysis in Excel, Histograms & Scatterplot, etc.  
Case Study #4 will assess your ability to apply the
concepts of chapter 14 to conduct
simple and
multiple
regression analyses to create a prediction model for home prices based on
up to four
independent variables. You will calculate
various descriptive statistics, create summary tables,
create
various charts and develop five regression
prediction models. Finally, you will create a
written
report summarizing your findings. You will need to use the Data
Analysis ToolPak Add-in
as you did for the
previous two case studies.
The data
file contains data for a random sample of 1,000 houses
located in the greater
Wilmington,
DE area. The data fields included are as
follows:
· Home Price
· Living area (square feet)
· Number of bedrooms
· Number of bathrooms
· Age (years)
The data fields included are as follows:
Age (years)
In developing both your model and the report, address the items below.
1. There are numerous
variables that are believed to be predictors of housing prices, including the
ones in the data set for this project. Using the web, find the key variables that
determine home price including any not include in this data set.
2. Using
Data>Data Analysis>Descriptive Statistics in Excel, calculate the mean, median,
range and standard deviation of each variable and summarize the results in
table.
3. Using
Excel, create histograms for price of the home, living area (square feet) and
age of the home. Be sure to give each chart a title and label the axes clearly.
4. Using
Excel, create scatterplots of each variable with each other variable. Be sure
to give each chart a title and label the axes clearly.
5. Using
Data>Data Analysis>Correlation in Excel, calculate the correlation
coefficient each variable with each other variable.
6. Using
Data>Data Analysis>Regression in Excel, run 4 separate simple regression
models to predict the dependent variable (price of the home) with each of the
independent variables. Use an alpha level of 0.05 to determine significance.
7. Using
Data>Data Analysis>Regression in Excel, run a multiple regression model
to predict the dependent variable with all 4 independent variables. Use an
alpha level of 0.05 to determine significance.
8. In
Word, write a summary report of the findings that includes the tables, charts
and regression analyses from steps 1-7 and includes the following:
a. An
introductory paragraph summarizes the purpose of the analysis. Also include information
that found in your web search about the key variables that determine home price.
b. A
section (1 or more paragraphs) describing what the tabular data from step 2 indicate
about the central tendency, variability, and distribution of each variable. For
example, do the variables appear to be distributed in a symmetric or skewed pattern?
c. A
section (1 or more paragraphs) describing how the frequency histograms from step
3 support and clarify the findings of the tabular data. Include in this section
any evidence suggesting outliers in the data.
d. A
section (1 or more paragraphs) describing what the scatterplots from step 4 and
correlations from step 5 indicate about the relationship between the various
pairs of variables (e.g., are the variables related?, does the relationship
appear to be linear or nonlinear?, is the direction of the relationship
positive or negative?).
e. A
section (1 or more paragraphs) summarizing the findings of the 4 simple
regression
models from step 6. Which models (if any) show that the independent variable in
the model is a significant predictor of price of the home? Which models (if
any) show that the independent variable in the model is not a significant
predictor of price of the home? Which model is the best fitting? Which model is
the poorest fitting?
f. A
section (1 or more paragraphs) summarizing the findings of the multiple
regression model from step 7. Which variables in the model (if any) show that
are a significant predictor of price of the home? Which variables in the model
(if any) show that are not a significant predictor of price of the home? Does
the multiple regression model provide a better fit than the best fitting simple
regression model?
g. A
concluding paragraph summarizing the key findings of the analysis and making about
which model is the best fitting. Based on your web research, indicate any other
variables that are not included in the current best fitting model that might improve
the fit if they were included.
Submit a
single Excel workbook showing all work for Steps 2-7 and a Word document of
your summary report that addresses all parts of Step 8 and that also
includes/interweaves all supporting tables and charts from Steps 2-7 (to tell a
story with the data and through
visualization
means).