Category: Statistics

Assignment 1: Learning and Applying Tests of Significance
Throughout this assign

Assignment 1: Learning and Applying Tests of Significance
Throughout this assignment you will review six mock studies. Follow the step-by-step instructions:

a. Mock Studies 1 – 3 require you to enter data from scratch. You need to create a data set for each of the three mock studies by yourself. (Refresh the data entry skill acquired in Week 1.)
b. Mock Studies 4 – 6 require you to use the GSS dataset specified in the course. The variables are given in each Mock Study.
c. Go through the five steps of hypothesis testing (below) for EVERY mock study.
d. All calculations should be coming from your SPSS. You will need to submit the SPSS output file (.spv) to get credit for this assignment.
The five steps of hypothesis testing when using SPSS are as follows:
1. State your research hypothesis (H1) and null hypothesis (H0).
2. Identify your significance level (alpha) at .05 or .01, based on the mock study. You only need to use ONE level of significance (either .05 or .01) as specified in the instructions.
3. Conduct your analysis using SPSS.
4. Look for the valid score for comparison. This score is usually under ‘Sig 2-tail’ or ‘Sig. 2’ or ‘Asymptotic Sig.’ We will call this “p.”
5. Compare the two and apply the following rule:
a. If “p” is < or = alpha, then you reject the null. b. Please explain what this decision means in regards to this mock study. (Ex: Will you recommend counseling services?) Please make sure your answers are clearly distinguishable. Perhaps you could bold your font or use a different color.

Hi ,
I need these questions to be answered. You can use R studio program if ques

Hi ,
I need these questions to be answered. You can use R studio program if question needed and asked for.
Important note: problem set 7 needed to be created in different file than problem set 8 . problem set 8 is also consisting 2 sets of data that needs to be used for answering the questions.

After watching the video, write a summary with your takeaway and reflection abou

After watching the video, write a summary with your takeaway and reflection about what Dr. W shares in the video regarding harnessing online resources for students to “DO” statistics.
YouTube link:

There is a clear and detailed instruction and rubric file that must be followed.

There is a clear and detailed instruction and rubric file that must be followed. Also there is a Quarto template. You will need to unzip it before you can access the .qmd file.
PLEASE follow all the instructions and rubric in order to finish the project.
1. Did you make sure to use SID to set the seed for data simulation by editing the first code chunk?
– SID is 500203835
2. Are your code inputs hidden appropriately using code folding? This should have been enabled by default in the template. Note that if they are hidden completely we may contact you to obtain your source
3. Have you read the Project Aims and written your report with that in mind? Don’t overthink it… we’re focused on scientific writing as much as data exploration in this first assignment, and it’s worth 10%, not 20% (that’s Project 2!)
4. Does your report look no different from another that could have been written in Microsoft Word? That’s the point of scientific writing – it’s not just about the style of writing, it’s also how you present it despite using a code-heavy medium to generate the document.
5. Are you sure you need that graph? Is that table necessary? Are you sure you can’t represent them using words in the main text instead? R makes it easy for you to be code-trigger-happy and produce a ton of information in very little time, but try not to go overboard.
6. Are you planning to submit a rendered HTML file? Please preview your submission to see that it rendered properly.

My hypothesis is: There is a significant correlation between serotonin levels/ac

My hypothesis is: There is a significant correlation between serotonin levels/activity and the severity of depressive symptoms, as measured by standardized depression scales. Furthermore, pharmacological interventions targeting serotonin neurotransmission will result in a statistically significant reduction in depressive symptom scores compared to a control group receiving a placebo treatment.
This revised hypothesis allows for the incorporation of statistical analysis by predicting a correlation between serotonin levels/activity and depressive symptoms, as well as predicting a statistically significant difference in depressive symptom reduction between the treatment and control groups. Statistical methods such as correlation analysis and inferential tests (e.g., t-tests or ANOVA) can be employed to test these predictions.
I need a Correlation analysis on people to be done in this assignment.
Below I will copy and paste an example of a methods/results section of a paper that will be a guide for this assignment:
Method
Participants & Design
Participating will be recruited via a LinkedIn advertisement promoting a study designed to evaluate workplace relationship satisfaction; deception will be used to reduce the likelihood of demand characteristics. I expect 1,000 individuals to participate (Female = 500, Male = 500) with ages ranging from 18-57 to reach the pole ends of the youngest and oldest generations (Gen Z and Baby Boomers). Participants will be required to have maintained a work position at the same company for at least 30 days to be eligible for the study.
This study is a 2×2 design utilizing the variables: age of participants (split into younger generations 18-40 and older generations 41-57) versus age of coworkers (age within 10 years of participant, age older/younger of participant by 10 years). This research will also contain manipulation checks for the participant by asking their age followed by the age they believe their coworker to be, to ensure the variables of same age and different age are correctly provided.
The questionnaire each participant will complete has been modified from an article on respect in the workplace published by Indeed.com (2021).
Materials & Procedure
Materials for this study will be limited to electronic documents and email to allow the greatest number of individuals to participate in this study. Participants will not be individually compensated, but will be entered into a drawing to win one of one hundred $10 gift cards to a coffee chain of their choice: Starbucks, Dunkin’, or Tim Hortons (gift cards will be awarded by random selection and will be emailed following the close of the survey).
Once participants have responded to the advertisement on LinkedIn indicating their interest in the study, they will be emailed the information to begin the survey at their own discretion. Participants will first be asked to sign consent waivers and confirm their 30+ days of employment in their current position, and will also be asked to state their age. Each participant will either be prompted, then, to think of a coworker of a similar age (within 10 years) or to think of a coworker younger/older than them (+/- 10 years). The participant will be asked to identify the age they believe most accurately describes the coworker they are imagining as an attention check to make sure they are paying attention to the prompt.
From there, each participant will answer each question on the respect measure to their best ability, for example statements such as “My coworker values my time” and “My coworker practices common courtesy” will be answered by selecting one of the following four options: Never, Sometimes, Most of the time, or Always. After all of the questions have been completed, the participant will complete the demographic questions located at the end of the survey. Participants will be asked to again, electronically sign the questionnaire to ensure their answers are truthful and that the researchers have their permission to use the data. Once the participant submits their questionnaire, they will be sent a follow-up email with the debriefing information for the study outlining the deception used, the true purpose of the study, and contact information for the researchers and any mental health assistance they may require regarding the study.
References
Indeed.com. (September 16, 2021). What is Respect in the Workplace?
https://www.indeed.com/career-advice/career-development/workplace-respect
Below the example of the results of a paper:
Proposed Results
First, in order to test the hypothesis that there is a significant positive correlation between the child (STAI-C) and parent (STAI-P) self-reported anxiety scores we will run a correlation between these two variables. Results are expected to show that, as predicted, there is a significant positive correlation, between the child (STAI-C) (M = X.XX, SD = X.XX) and parent (STAI-P) (M = X.XX, SD = X.XX) self-reported anxiety scores, r(748) = X.XX, p

Familiarize with the IBM Skills Build program, how the program has evolved and what skills needs are currently addressed.

The subject area is: Data Analytics
Background to the task:
IBM is a large software and hardware vendor, with a focus on AI and Quantum. Part of IBM’s strategy is to support the skilling up to 30 million people by 2030, in order to cater to the changing needs of the information technology industry. One of our main vehicles for this is IBM Skills Build, a platform where students and adult learners can have free access to online courses/badges.
IBM Skills Build is IBM’s main online platform for delivering learning to both students and adult learners who are looking to transition to another role. IBM Skills Build is the avenue to achieve IBM’s goal of skilling up 30 million people by 2030. In order to achieve this goal, IBM would need to ensure that the learning material contained in IBM Skills Build meets the needs of the information technology industry, and will help learners cross the skills gap, thereby filling the skills needs of the industry, both today and in the future (next 3 years).
In order to ensure that Skills Build continues to be the relevant to the user base, you are required to review the Skills Build content, and perform an analysis of the data provided by the UK Government Employment and Skills survey, and provide recommendations on the evolution of the IBM Skills Build, especially to determine which content should be sunset, which content is relevant, and what content IBM should consider including.
Some links to help you get started:
https://www.ibm.com/uk-en
https://skillsbuild.org/about
https://digital-skills-jobs.europa.eu/en/inspiration/resources/ibm-skillsbuild-empowering-digital-skills-all
IBM Skills Build overview:
https://bit.ly/PathWaytoLearning
UK Government Data Skills Survey (2022):
https://explore-education-statistics.service.gov.uk/find-statistics/employer-skills-survey/2022
Further research (as required) is to be carried out by the student.
Requirements:
1. Familiarize with the IBM Skills Build program, how the program has evolved and what skills needs are currently addressed.
Carry out research on skills programs and their contribution to the information technology industry, business community and society at large.
2. Familiarize with IBM as an organization, and their business strategy to support the skills requirements of the fast-changing information technology industry.
3. Familiarize with the UK Government Data Skills Survey of 2022, understand the recent study skills gaps in the UK and how the skills needs have evolved.
Carry out research on any other digital skills requirements that may address future needs.
4. Analyze the data contained in the UK Government Skills Employment Survey of 2022.
Select a dataset that will support your analysis, cleanse the data as required.
5. Analyze the skills needs currently addressed by the IBM Skills Build program.
Prepare a quality dataset that will support your analysis, by using the sources given.
6. Import the data into a data analytics platform of your choice. It is recommended to use SAS Enterprise Miner, which was introduced as part of the university short course.
7. Transform the raw data by carrying out your own analysis using the software tools and produce compelling, meaningful, and relevant visualizations. Discuss your analysis in the report.
8. Frame the data set based on the requirement, apply linear regression model and interpret the results using the features of the software tool, to predict the trend of future increased skills needs. Discuss your findings in report.
The analysis must include (but not limited to):
– Projected skills shortfalls
– Sector-wise analysis
9. Reflect on the project
– what was your learning?
– challenges faced?
– what would you do differently?
10. Explain the work carried out (as separate appendices):
a. What data was collected for the analysis and what sources were used.
b. How the data was cleansed.
c. What model was selected for the predictive analysis and why.
11. Evidence of the work carried out (in report and/or as separate appendices):
a. Cleansed data sets
b. Data visualizations
c. Predictions
Requirement #5 dataset is doing an excel sheet.
6 & 7 needs someone who knows SAS miner
All of the above requirements doesn’t require much words
Except for the part 1,2,3,4, 9 and 10
Please show proof of answers (screen shot from the SAS and other softwares)
No need for an introduction or conclusion
Just answer the questions

Initial Discussion posts are due Wednesday. All interaction and corrections shou

Initial Discussion posts are due Wednesday. All interaction and corrections should be completed by Sunday. There is no interaction with peers. The responses are only visible to each individual student and the instructor. Initial posts should be thorough, completing all tasks given in the discussion prompt. All posts should demonstrate college level writing skills.
In our lessons this week, we discuss the use of crosstabulations (crosstabs) as a preliminary analysis to begin investigating the relationship between the IV and DV. A crosstab creates a “snapshot” of our data. Measures of association help to identify the strength and direction of the potential relationship.
You are now going to create and post a crosstab of your variables and a measures of association table.
Complete the following steps:
Post a brief explanation of your topic. Include your research question and a broad research hypothesis — that is, the relationship of IV to DV. (For example, educational attainment affects family income in US adults.)
Run a crosstab on your variables. Be sure to explain your findings, including a descriiption of the table, a calculation of the epsilons, and a discussion of the 10% rule.
Run the correct measure of association for your variables (Choose one – either Pearson R, Gamma, Phi, Cramer’s V or Lambda). Explain what the output means in terms of strength and direction of the relationship. Interpret Proportional Reduction of Error (PRE) using the following statement: Knowing the IV will reduce error in predicting the DV by *%.
Copy the crosstab and measure of association table into the discussion window or into a document (PDF, MS Word) and attach to discussion. If your table does not fit to the page, choose “copy special” and then “images” or take a screen shot of the table to copy/past into the window.
Special note:
When a variable is continuous (interval/ratio level of measurement), for example age of respondent, we do not run crosstabs directly because it will result in a really spread-out table with lots of zeros and low frequency cells. Such a crosstab does not help us understand the data. The correct way is to reduce the level of measurement to either ordinal level or nominal level (group the numbers into categories) by recoding and then run the crosstab. (Please refer to the Lesson Recoding in SPSS for further information.)
As a reminder, here are the guidelines for choosing your measure of association:
Both DV and IV are nominal variables: Lambda (when it is not a 2X2 table)
Both DV and IV are nominal variables and it is a 2X2 table: Phi
Both DV and IV are ordinal variables: Gamma
One variable ordinal or interval/ratio AND the other variable dichotomous nominal (like Yes/No, male/female, etc.): Gamma
One variable ordinal or interval/ratio AND the other variable nominal (not dichotomous, has more than 2 categories): Cramer’s V.
Both DV and IV are I/R variables: Pearson’s r

1. The term paper (PDF) and Python Code (.py or .ipynb) Subject: Term Paper Stat

1. The term paper (PDF) and Python Code (.py or .ipynb) Subject: Term Paper Statistical Programming 2. The paper should include the replicable and self-explanatory code and a readable documentation of your work. The documentation answers the (statistical) question in the exercise, explains the code and sums up your results in text form. Please provide concise and well thought-out answers and explanations. You can use in-line comments to explain what you do in a specific block of code. 3. Use Quarto and Jupyter 4. ChatGPT is not allowed
Only Section 5: Credit Score Classification with Gradient Boosting

Complete the following in Excel:
• Calculate the defined process metrics includi

Complete the following in Excel:
• Calculate the defined process metrics including variation and process capability.
• Develop and display a control chart for the process.
Evaluate the control chart and process metrics using Statistical Process Control (SPC) methods. Determine whether the process could benefit from the use of Six Sigma, Lean, or other tools. (Include all calculation and charts.)
PLEASE USED THE ATTACHED FLOW CHART TO COMPLETE THIS ASSIGNMENT.

Review the following resources in the Wk 5 Learning Activities folder to help yo

Review the following resources in the Wk 5 Learning Activities folder to help you with this assignment:
LinkedIn Learning videos: “Understanding Independent Samples,” “The T-Test for Independent Samples,” “Understanding Matched Samples,” and “The T-Test for Matched Samples”
Ch. 39, “Differences t Tests and Analysis of Variance,” of The Tao of Statistics: A Path to Understanding (with no Math) from the Wk 5 University Library Readings(https://library.phoenix.edu/MTH217r5/w5)
You have learned that the employee who preceded you in your position wrote you an email with some notes about the planned analysis of the results of the desirability survey.
Read the employee’s e-mail and determine if there are any errors in the proposal.
Use the Plan Review Worksheet to record your responses to the employee’s plan.