Topic 1: Results from surveys or opinion polls often report a range of values—th

Topic 1:
Results from surveys or opinion polls often report a range of values—the sample statistic plus or minus a margin of error (the resulting range is called a confidence interval). This tells us that the range is likely to contain the population parameter. How much wiggle room we provide is based on how much confidence we wish to have that the range contains the actual population mean. That confidence level is directly related to the middle “truth” area we will accept versus the dubious tail area we will reject—also known as alpha (α). The more confidence we wish to have—the more middle ground we will need to accept (more wiggle room)—thus a smaller tail area. If we insist on a larger alpha (more dubious tail area), we narrow the middle ground we will accept and thus provide less wiggle room—so the more likely it is that we will miss the true average (and, thus, we have a lower confidence level). A 95% confidence level leaves 5% alpha. A 99% confidence level leaves 1% alpha.
Now, without calculating a mean or margin of error or a confidence level, provide an example from your personal life that describes a measurement that is normal—and how much wiggle room on either side would be appropriate. When would you want a 95% confidence interval, and when would you want a 99% confidence level (a little more wiggle room—so a wider range)?

This work is related to the research matrix you did you me. It is the narrative

This work is related to the research matrix you did you me. It is the narrative of what you had already written in research matrix. For reference, I’m attaching the matrix with this question.You already completed the research matrix so ignore it where it is written to submit it. Just need a narrative now.
As you complete the work on your matrix, observe how the approaches are similar and different across and down the cells. You will need to draw on those observations as you develop your narrative this week. As you prepare to develop your narrative, it is also important to organize your references so that you can refer back to the original sources. For this Assignment, you will create a brief narrative summarizing what you have learned, citing your sources. This Assignment will be a helpful guide as you read other qualitative studies for your capstone.
To Prepare for this Assignment:
Review the work that you have done in the last two weeks, making sure that each cell in the matrix is completed. Create your reference list, including books and methodological articles on each area. You can use the ones listed in the Learning Resources and search for your own as well.
BY DAY 5
Write a 2- to 3-page narrative. In your narrative, be sure to respond to the following:
Summarize what you have learned about the similarities and differences among the approaches.
Describe how what you’ve learned by developing the matrix has allowed you to choose the approach that you plan to use for your research plan in this course.
Identify the approach you intend to use for your research question.
Describe your rationale for your choice of approach.
Submit your Qualitative Research Approaches Matrix Template (which you worked on during Weeks 2 and 3) and your narrative to your Instructor.

DB: Module 2 Practice Tests Chapters 4 & 5: Post your Math questions from chapte

DB: Module 2 Practice Tests Chapters 4 & 5: Post your Math questions from chapters 4 & 5.
3434 unread replies.3434 replies.
You are required to post (at least) one question and its solution either from Chapters 4 & 5 Practice Tests posted under the modules, or any source of your choice (per grading policy in the syllabus). You must read all the posts and make sure not to duplicate any questions; similar questions are acceptable.
Read all the posts: questions and solutions posted by others first, and pick a different question to post (No duplication is allowed). A question with One-word solution, One-line solution, or Definition is not acceptable and results in ZERO Points for the post . (10 points)Write the question number and copy down the question
Show all steps using the math equation editor or embed an image solution as explained below.
Find a similar problem online, or on YouTube, or Khan Academy and post the link. (5 points)
Comment on (Explain) at least one classmate question that is either solved or is found online and posted by watching it carefully in its entirety. Explain about what the question addressed and what you learned from it and outline a few steps you learned as a result; a compliment is nice but is not a comment. To receive credit for this part, write the name of your classmate. (5 points)
Example of a Student Post (Made up example):
1. Question 15: Find the mean, median, mode, and range for the following Population list: 13, 18, 13, 14, 13, 16, 14, 21, 13
Solution: �=∑��=13+18+13+14+13+16+14+21+139=9
The median is the middle value, so rank the data first: 13, 13, 13, 13, 14, 14, 16, 18, 21
Population size: N = 9, so the middle value will be the (9 + 1) ÷ 2 = 10 ÷ 2 = 5th number:
13, 13, 13, 13, 14, 14, 16, 18, 21 ⟹������=14
The mode is the number that is repeated more often than any other: ⟹����=13
������=���−���=21−13=8
2. Similar Question found on YouTube: Find the mean, median, mode, and range
https://www.youtube.com/watch?v=k3aKKasOmIwLinks to an external site.
3. Comment on question by John Doe’s YouTube post: This post was about finding the Z Scores; they represent number of standard deviations away from the mean. A positive Z-score indicates a score which is above the average score in class. A negative Z-score indicates a score which is below the average score in class. A zero Z-score indicates a score equal to the average score in class.
https://www.youtube.com/watch?v=1yYCyAwg-7gLinks to an external site.
Grades: A positive Z Score represents a grade greater than the mean (average) grade in class. A negative Z Score represents a grade smaller than the mean (average) grade in class. A zero Z Score represents a grade that is equal to the mean (average) grade in class.
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Please refer to the following instructions for “How to Embed an Image in Canvas Discussion” for help.How to Embed an Image into a Canvas Discussion Board – YouTubeLinks to an external site.
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To use the Math editor:Reply
Insert
Click on the symbol for the square root of x

example answer: Class, I used Data set 17 Mean: 4.77 Standard Deviation=$1.47 E

example answer:
Class,
I used Data set 17
Mean: 4.77
Standard Deviation=$1.47
E Value= $0.53
95% Confidence Interval= $4.24- $5.30
Confidence Intervals For this forum we will discuss confidence intervals and what they mean. Initial Post Instructions:
Choose a data set of fuel prices from the attached Excel file. Find the mean and standard deviation for the data set. Please do not try to do this by hand, but use the functions in Excel. Find the 95% Confidence Interval for your data. Response Post Instructions:
Respond to two of your classmates by analyzing what the confidence interval means in this scenario and how this data can be used. And then compare how the results vary between the different data sets. Sample initial post: First find the mean and standard deviation. (Refer to video in week 2 discussion.)
Then type this in an excel cell =confidence.norm(0.05,stdev,samplesize)and hit enter. This is the E value. (Note: please use your standard deviation and sample size and not the words.)
Set up your confidence interval: (mean-E, mean+E) It is important to go back and read follow up responses from your instructor.
Formula you used above for the confidence interval:
The formula is E= zsubc * sigma / sqrt n
Where the left hand endpoint is xbar – E and the right hand endpoint is xbar + E
To earn full credit for this discussion, you must respond to at least two (2) of your peers and post your initial post by Thursday. Rubric for grading discussions: Quick View of Discussion Grading Rubric (Please see full details for explanation of criteria below)

Dr. Rose was interested in studying student involvement in extracurricular activ

Dr. Rose was interested in studying student involvement in extracurricular activities, residence, school motivation scores, life satisfaction scores, and their scores on exams 1, 2, and 3. He found that students were either (0) not involved with extra-curricular activities on campus or (1) involved with extracurricular activities and either lived (1) on campus, (2) off-campus, or (3) with their parents. Using these data Lab 1.omvDownload Lab 1.omv, please answer the questions below and provide your Jamovi file with analyses completed. Be sure to open the Jamovi software FIRST and then open the file within the Jamovi software. Here is a Step-by-Step Guide Actionsto assist you in completing this lab in Jamovi. Note the different variable icons used in Jamovi to represent different variable levels. These are important since a mean or average, for example, cannot be computed with Nominal Data. LAB DETAILSYour submission for this Lab Assignment should be a Jamovi file with an omv extension. NOTE that you will not be able to Preview your submission since you are only able to see the file when in the Jamovi application. Create a variable called Average Exam Score, the average of exam scores 1, 2, and 3. Use the compute mean command to do this. Transform the Motivation Variable into Motivation Groups with three groups: Low (1-3), Medium (4-6), and High (7-9). Use the layered IF command to do this. Create a frequency table for the residence variable. Use the descriptive statistics function to find the mean and standard deviation of the life satisfaction variable split by two variables; extra-curricular involvement and Motivation_Groups. Report each mean and standard deviation and provide output. Find the mean and standard deviation for exam 1, exam 2, exam 3, and average exam scores variables. Compute histograms with a normal curve (density) for average exam scores and life satisfaction scores. Create a histogram without a normal curve (density) for exams 1, 2, and 3. Split the data by the motivation groups variable and find the mean exam score and life satisfaction score for each group as well as the histogram and density for each group. IMPORTANT This lab will utilize Jamovi, to review the resources linked in your Course Tools and Resources to get started with Jamovi. Please reach out to your instructor with any questions or concerns.
You may find it best to download the software for Jamovi directly to your device for free if you wish. This can be done through the Jamovi webpage.

Central Tendency & Variability For your main post, gather some data (N of 20 or

Central Tendency & Variability
For your main post, gather some data (N of 20 or more)
You have two options for data:
Option 1: Revisit the data you used in the last discussion – but only if you had an N of 20+ and an interval level of measurement for that variable! Option 2: Pull some new data from the student survey for one variable that is at the interval level of measurement.
Then, with the data you have collected:
Calculate all measures of central tendency (mean, median, mode) and variability (range, sd) for your variable,
Post your results (use the name of your variable as the subject of your post). Use the Table icon (looks like a grid) to make a table in which to show your calculations more organized and clear. To include the formula and numbers you used, you can type them in as best you can or you can get fancy with the “Math Equation” icon (looks like the square-root symbol). (See resources below.)
For your comment posts:
Post at least two comments on someone else’s data – interpret what they calculated, discuss the patterns of central tendency and variability for their variable…
Have fun with this – don’t overthink the interpretation… Practice what we’re learning in class…
Just put into words what it means to get the mean, median, mode, range, and sd (separate sentences for each) and overall what they tell you (Central tendency: what do they mean? Are they all the same? different? How different? Is there skew? Which statistic is best for central tendency? Variability: what do they mean? Which statistic is best for variability?)
I’ve provided an example for how to do this. If none of this is making any sense, re-read the text & module and re-view the refresher on these topics!

Dr. Rose was interested in studying student involvement in extracurricular activ

Dr. Rose was interested in studying student involvement in extracurricular activities, residence, school motivation scores, life satisfaction scores, and their scores on exams 1, 2, and 3. He found that students were either (0) not involved with extra-curricular activities on campus or (1) involved with extracurricular activities and either lived (1) on campus, (2) off-campus, or (3) with their parents. Using these data Lab 1.omv Download Lab 1.omv, please answer the questions below and provide your Jamovi file with analyses completed. Be sure to open the Jamovi software FIRST and then open the file within the Jamovi software. Here is a Step-by-Step Guide Actionsto assist you in completing this lab in Jamovi. Note the different variable icons used in Jamovi to represent different variable levels. These are important since a mean or average, for example, cannot be computed with Nominal Data. Lab DetailsYour submission for this Lab Assignment should be a Jamovi file with an omv extension. NOTE that you will not be able to Preview your submission since you are only able to see the file when in the Jamovi application. Create a variable called Average Exam Score, the average of exam scores 1, 2, and 3. Use the compute mean command to do this. Transform the Motivation Variable into Motivation Groups with three groups: Low (1-3), Medium (4-6), and High (7-9). Use the layered IF command to do this. Create a frequency table for the residence variable. Use the descriptive statistics function to find the mean and standard deviation of the life satisfaction variable split by two variables; extra-curricular involvement and Motivation_Groups. Report each mean and standard deviation and provide output. Find the mean and standard deviation for exam 1, exam 2, exam 3, and average exam scores variables. Compute histograms with a normal curve (density) for average exam scores and life satisfaction scores. Create a histogram without a normal curve (density) for exams 1, 2, and 3. Split the data by the motivation groups variable and find the mean exam score and life satisfaction score for each group as well as the histogram and density for each group. Important This lab will utilize Jamovi, to review the resources linked in your Course Tools and Resources to get started with Jamovi. Please reach out to your instructor with any questions or concerns.
You may find it best to download the software for Jamovi directly to your device for free if you wish. This can be done through the Jamovi webpage.
View Rubric

InstructionsPart 1: Your instructor will provide you with a scholarly article. T

InstructionsPart 1:
Your instructor will provide you with a scholarly article. The article will contain at least one graph and/or table. Please reach out to your instructor if you do not receive the article by Monday of Week 3.
Part 2: Title your paper: “Review of [Name of Article]” State the Author:
Summarize the article in one paragraph:
Post a screenshot of the article’s frequency table and/or graph. Example:
Frequency Distribution -OR- Graph
Answer the following questions about your table or graph. What type of data does the graph, chart, or table from your screenshot above display (Quantitative or Qualitative data)?Explain how you came to that conclusion. What type of graph, table, or chart did you choose from your screenshot above display (bar graph, histogram, stem & leaf plot, etc.)?What characteristics make it this type (you should bring in material that you learned in the course)?
Describe the data displayed in your graph, table, or chart from your screenshot above. What is the graph displaying in the context of the article? Draw a conclusion about the data from the graph, table, or chart from your screenshot above in the context of the article. Make an inference based on the data displayed. How else might this data have been displayed?Pick two alternate graphs/charts/tables that could be used to display the same data as your selected chart/graph/table from your screenshot above. List the pros and cons of these alternative graphs. Explain how the graphs/charts/tables that you selected above (Part E) would be structured to display the data in the article.
Give the full APA reference of the article you are using for this lab. RequirementsThe deliverable is a Word document with your answers to the questions posed above based on the article you were assigned.
Grading

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

The subject area is: Data Analytics Background to the task: IBM is a large sof

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