Category: Statistics

Instructions:
Nanos Research (https://www.nanos.co/Links to an external site.) i

Instructions:
Nanos Research (https://www.nanos.co/Links to an external site.) is one of North America’s premier research and strategy organizations. Most of the reports are based on count /discrete data that requires the analysis of one or more proportions as the statistic of interest.
1. Access Nanos Research at https://nanos.co/Links to an external site. and select Reports (from the menu or the icons below the header).
2. Pick a report that interests you and is dated no older than Jan 1, 2023.
3. Verify the report findings are based on the analysis of proportions.
4. Click View PDF to access the report (power point format)
5. Read the report and the Methodology section.
6. Prepare your submission in MSWord:
6a) State the title of the Report and date published.
6b) State the 5W’s and 1H for the study.
6c) Summarize, briefly, in your own words, one (1) interesting result from the report.
6d) State one (1) connection from the article on confidence intervals.
6e) State the sample size, margin of error and confidence level.
6f) Prove through calculations and a worded explanation how the given sample size in the report connects to the stated margin of error and confidence level.

Please use the provided outputs, and the writeup template, to complete the write

Please use the provided outputs, and the writeup template, to complete the write up (using the output information)

CASESTUDY:FACTORIALANALYSIS OFVARIANCETEMPLATE INSTRUCTIONS
To successfully comp

CASESTUDY:FACTORIALANALYSIS OFVARIANCETEMPLATE INSTRUCTIONS
To successfully complete this case study assignment, all of the following instructions must be
adhered to. Only paste tables/figures that contain pertinent information. Only paste tables/
figures where you are instructed to do so, and use only relevant data from tables, as well as your
response to each question. In the write-up section, all information must be provided in paragraph
format. When statistical values are discussed, the numerical value must be given and a reference
must be made to the table(s)/figure(s) where the value(s) can be found. An example of this is
“heart rate was statistically greater during running versus cycling (189 vs. 143 bpm) as indicated
in Table 1.

To learn how to apply SPCM to a process, continue the flowchart from Week 1 and

To learn how to apply SPCM to a process, continue the flowchart from Week 1 and identify variances within a process. You can find variances from the data identified in Week 1.Complete the Statistical Process Control Methods Worksheet.Submit your assignment.ResourcesStatistical Functions
Excel Functions
Center for Writing Excellence
Reference and Citation Generator
Grammar Assistance

Follow these steps for this activity:
Create a new document that contains your s

Follow these steps for this activity:
Create a new document that contains your solutions.
Save your assignment using a naming convention that includes your first and last name and the activity number (or description). Do not add punctuation or special characters.
Save your StatCrunch output file using the same naming convention that includes your first and last name, the activity number, and output in the file name. View the instructions (PDF)Download Instructio on how to create and download the output file.
Submit both the assignment and StatCrunch output document in Canvas. If you do not submit your StatCrunch output file, you will receive zero credit for this assignment. Note: you must download both the assignment submission and the StatCrunch output document for all StatCrunch assignments in this course.

Discussion Topic:
This week’s required readings explain the role that discrete r

Discussion Topic:
This week’s required readings explain the role that discrete random variables and their discrete probability distributions play in the world of statistical analysis. Consider the following questions and respond in a minimum of 175 words:
Read, review and comment 2 student posts attached on file

Looking for help to solve the attached homework in a word document. Must apply 7

Looking for help to solve the attached homework in a word document. Must apply 7 steps of hypothesis testing wherever applicable as follows:
1. State parameter of interest,
2. Null Hypothesis (H0), and 3. Alternative Hypothesis (H1)
4. State test statistic to be used to solve the question
5. Reject H0 if: (define criteria that will lead to the rejection of H0)
6. Computations (using the test statistic and whatever else needed to calculate the answer)
7. Conclusions (or final decision to reject H0 or not)

This paper will focus on the theoretical aspects of quantitative research. In th

This paper will focus on the theoretical aspects of quantitative research. In this paper, you will select a method to conduct a study to answer your research question. This paper will serve as a critical examination and justification of the chosen method. You will start by providing a background as to why your research question is important and the knowledge gaps that exist. This will consist of brief review of the literature (try to use systematic reviews and meta-analyses whenever possible to inform this section). Next, you will fulsomely explain your selected method and justify why this method is more appropriate than others. Finally, you will discuss the implications of this research or quality improvement project and why it is important (this is the ‘so what’ section of your paper, try to convince us that this work is important). I have added all the required material for this assignment. Please look at the marking rubric and assignment outline to ensure all aspects of the assignment is met.
The paper should be 8-10 pages (double spaced) excluding references and title page.
Required Components:
Introduction (background – including robust and critically evaluated evidence from the literature)
-Identify the research or practice problem. Why is it a problem? What is the knowledge or practice gap?
-Include reason for the study. Why is it important? What knowledge gap is it filling?
-Ensure that you synthesize and critically analyze the articles from published literature on the method you identified, using both nursing and non-nursing sources.
Research Question (from assignment 1 – with changes addressed)
-Include aim of the study and hypothesis
Chosen method
-Fully describe your chosen method or quality improvement approach. Be sure to include:
 The philosophical and/or theoretical underpinning of your chosen research method and project (if you have a theoretical framework how does this map onto/inform your question and method, e.g., Chapter 6 of text)
 The fit of the chosen research method with your research question (e.g., if you are looking to establish cause and effect, a cross-sectional design may not be appropriate)
 Discuss the practical and feasibility consideration of your study (e.g., costs, timelines, participants burden, access to population/data – is the proposed method realistic)
-Describe the strengths and limitations of the method (e.g., bring in critiques from literature, examples of where this method has been used in nursing or health research, and any practical considerations)
-Compare your specific method vis-à-vis 1 other method to justify the use of your method to answer your research question (e.g., explain what other quantitative research method you could use to answer your research question and why the method you chose is the best fit)
Implications for practice
-Link back to your background section and explain why or how your study is meaningful to clinical practice. Why should we care about this study? Why is it important?

Important Information:
Read all the instructions carefully before you begin!
You

Important Information:
Read all the instructions carefully before you begin!
You will need to save the (.ipynb) file as a searchable PDF (NOT as a picture), and submit it as the primary resource. Pictures or snapshots of your work will NOT be accepted.
The generated CSV file and .ipynb file must be submitted in a zip-folder as the secondary source.
You may use Jupyter Notebook or Colab as per your convenience.
Non-compliance with the above instructions will result in a 0 grade on the relevant portions of the assignment. Your instructor will grade your assignment based on what you submitted. Failure to submit the assignment or submitting an assignment intended for another class will result in a 0 grade, and resubmission will not be allowed. Make sure that you submit your original work. Suspected cases of plagiarism will be treated as potential academic misconduct and will be reported to the College Academic Integrity Committee for a formal investigation. As part of this procedure, your instructor may require you to meet with them for an oral exam on the assignment.
Important First Steps:
You can use either Anaconda or Colab to work on the Jupyter notebook that you will submit as your final project on Forum:
Start by downloading this Jupyter Notebook to your local machine.
Open a tab in your browser and type https://colab.research.google.com/.
This will open a small window. Choose the last option Show notebooks in Drive on the upper menu, “Upload”. Then choose the Jupyter notebook you have saved in step 1.
You can start working on your assignment by answering the questions in the corresponding cells.
A sample code is provided for tasks 3 to 6. Remember these are only sample codes, and you will need to make minor revisions to the codes to be able to complete the tasks.
If you have any questions, please reach out to your instructors and the CIS tutors.
Background
Imagine that you have graduated CIS and now work as a consultant.
You are hired by a health and fitness company.
They have collected detailed data from 507 physically active participants. This data includes information about the participant’s body measurements as well as personal attributes such as age, weight, height, and gender.
The company wants you to analyze this data in ways that can help them design personalized fitness evaluations and training regimens for their users.
Note: The entire dataset (and descriptions of each of the variables) can be found [here] (https://vincentarelbundock.github.io/Rdatasets/doc/openintro/bdims.html).
In Assignment 1 you will take a random sample of 100 participants from the 507 individuals who were studied, and analyze the data for these 100 individuals.
Task 1.
As mentioned above, you will select a random sample of 100 individuals from the company’s data set.
You will then conduct analyses on this random sample.
Look at the code below. To select a random sample from the data, you should replace Name with your own name in the code.
After you have done so run the code. The code will generate a CSV file with a random sample of 100 participants. It will also be labeled with your name.
REMEMBER: you need to add this CSV file to a zip file along with your .ipynb. file when submitting your assignment.
Task 2.
Now that you have your data set you are ready to start analyzing it!
The first step is to explore your dataset.
Look at the variables that make up the data set.
Once you’ve done so, imagine you are writing a report for the fitness company that hired you.
Start with a brief introduction to the research question you are exploring, then the dataset you are analyzing (e.g., what is the sample you are analyzing? What are the variables?)
Assume that your audience is the company’s leadership. They will be with what you are reporting.
Task 3.
Run the code to randomly select 4 variables from your dataset.
It will then print the names of the four variables that were randomly selected.
REMEMBER: Check the full name of each of your variables, you can find it here. https://vincentarelbundock.github.io/Rdatasets/doc/openintro/bdims.html
Your task is to do the following:
You should create a histogram and generate descriptive statistics for each of the four variables that were randomly selected above. You can use the code below to help you do so.
For each variable you need to describe the following: shape,** center**,** spread**, and the presence of any outliers.
Task 4.
Now that you have described and plotted data, let’s explore if the data differ for male and female participants.
Generate grouped box plots for each of the 4 variables in Task 3.
Your boxplot should compare the distributions for males and females in your dataset.
Afterwards, you should describe what you observe in each case.
Make sure you mention the five-number summaries for both genders.
Task 5
Part A
Select TWO variables from Task 3. Treat these as an independent variable.
Now create a scatterplot for each variable.
In each case, the plot should visualize the relationship between the variable and weight (dependent variable).
Describe each scatterplot in terms of the form,** strength**, and direction of the relationship between the variables.
Part B
Examine if the relationship explored in each scatterplot varies by gender.
Hint: You will need to create scatterplots separately for each gender to answer this question.
Task 6.
PART A
Finally, for each of the variables you focused on in Task 5:
Fit a simple linear regression model that predicts a participant’s Weight based on the variable you selected.
Make sure you generate, interpret, and use the residual plot, the standard error, and the R^2 to assess the fit of each linear model.
If the model is a good fit, interpret the slope and the y-intercept.
PART B
If you found that the relationship between weight and the variable you selected differed for males and females in Task 5 (Part B) then:
Run the regression model for each gender separately and interpret your findings accordingly.
Assignment Information
Length:
N/A
Weight:
18%
Learning Outcomes Added
CompProgramDesign: Generate working programs in a computer language that can solve computational problems; find and fix bugs that appear in them.
Variables: Identify and classify the relevant variables of a system, problem, or model.
DescriptiveStats: Calculate and interpret descriptive statistics appropriately.
Correlation: Apply and interpret measures of correlation; distinguish correlation and causation.
Visualizations: Interpret, analyze, and create data visualizations.

To learn how to apply SPCM to a process, continue the flowchart from Week 1 and

To learn how to apply SPCM to a process, continue the flowchart from Week 1 and identify variances within a process. You can find variances from the data identified in Week 1.Complete the Statistical Process Control Methods Worksheet.Submit your assignment.ResourcesStatistical Functions
Excel Functions
Center for Writing Excellence
Reference and Citation Generator
Grammar Assistance