Categories
Statistics

In this worksheet assignment, you will review the table from the article you’ve

In this worksheet assignment, you will review the table from the article you’ve read in this module, Alcohol Consumption Among First-Time Mothers and the Risk Preterm Birth: A Cohort Study PDF (2016). Then complete the Module Six Worksheet Word Document steps.
For this assignment, complete and review the following documents:
Module Six Worksheet Word Document
Module Six Worksheet Guidelines And Rubric PDF
IHP 340 Module Six Worksheet Guidelines and Rubric
Overview: This worksheet activity gives you practical application in data interpretation and research question development.
Prompt: Before submitting this worksheet, complete the following steps.
1. Download the Module Six Worksheet document found in the learning environment prompt.
2. Review Table 1 in the Worksheet.
3. Complete the Matrix in the Worksheet.
4. Respond to Research Questions.
5. Explain BMI values.
Rubric
Guidelines for Submission: Your response to each question in the worksheet should be written in your own words. Once you have completed the worksheet
template, upload and submit your saved worksheet file in the learning environment to finish this assignment.

Categories
Statistics

In this worksheet assignment, you will review the table from the article you’ve

In this worksheet assignment, you will review the table from the article you’ve read in this module, Alcohol Consumption Among First-Time Mothers and the Risk Preterm Birth: A Cohort Study PDF (2016). Then complete the Module Six Worksheet Word Document steps.
For this assignment, complete and review the following documents:
Module Six Worksheet Word Document
Module Six Worksheet Guidelines And Rubric PDF
IHP 340 Module Six Worksheet Guidelines and Rubric
Overview: This worksheet activity gives you practical application in data interpretation and research question development.
Prompt: Before submitting this worksheet, complete the following steps.
1. Download the Module Six Worksheet document found in the learning environment prompt.
2. Review Table 1 in the Worksheet.
3. Complete the Matrix in the Worksheet.
4. Respond to Research Questions.
5. Explain BMI values.
Rubric
Guidelines for Submission: Your response to each question in the worksheet should be written in your own words. Once you have completed the worksheet
template, upload and submit your saved worksheet file in the learning environment to finish this assignment.

Categories
Statistics

Case Introduction Cypress Grove Chevre (http://www.cypressgrovechevre.com/index

Case Introduction
Cypress Grove Chevre (http://www.cypressgrovechevre.com/index.html) has been producing award-winning goat cheese for over twenty years. The company, located in California, offers more than a dozen varieties of primarily French-style goat-milk cheeses.
An important managerial duty is to balance the workloads of the employees on the various jobs required to process the cheese. In order to do this, management needs to analyze the raw labor data to determine the time required for each task so that work is evenly distributed throughout the process and the total time needed to process an order can be predicted.
The client has already collected the raw data and now needs you to prepare the data for analysis. The client is interested in the average quantity produced per hour for each task and the range of time per task.
Tasks:
1. You will receive one data set with five (5) unique sets of information to analyze. Each data set has five task codes (a02. etc). View the table in the data set and the tasks. Each assigned task code should be analyzed.
2. Click on the link above and download the assigned labor data. Use this data set.
3. For each task code do the following:
Develop a set of descriiptive statistics (mean, standard deviation, etc.).
Generate one or more charts for each task such as a histogram, scatterplot, or Pareto chart for the data. You are expected to demonstrate competency using all three types of charts in some fashion.
Write a brief summary for each task with analysis and interpretation.
Provide conclusions or recommendations for each task based upon the data.
4. Use this template to write your analysis and include the following:
Title page
Brief introduction of the case
Descriiptive statistics (such as mean, median, range, standard deviation, and variance) for each task
One or more of the seven quality control tools as needed (e.g., histograms, Pareto charts, etc.) with analysis and interpretation
Conclusions and recommendations
5. Complete the case analysis as described. Submit your document.
I have attached the Word Document paper template, the excel labor data template, and the data set required to complete this paper.

Categories
Statistics

This week, for your asynchronous activity, I want you to look up the reliability

This week, for your asynchronous activity, I want you to look up the reliability and validity of the measures you have chosen for your independent and dependent variables. (If you can complete this in class, that is fine.) In no more than a paragraph, describe the validity and reliability of the measures.
If you have created your own variables (i.e., a survey), I want you to read the chapter and then write out (in no more than a paragraph) how you would determine your measures reliability for each variable.

Categories
Statistics

Use the Weeks 3 and 5 spreadsheets from the Weeks 3 and 5 Lessons to help you an

Use the Weeks 3 and 5 spreadsheets from the Weeks 3 and 5 Lessons to help you answer the questions below.
Step 1: Your instructor will provide you with 10 values to use for this lab.
Gather 10 MORE of your own to add to the 10 provided by your instructor. Do the following:
Survey or measure 10 people to find their heights. Determine the mean and standard deviation for the 20 values by using the Week 3 Excel spreadsheet. Post a screen shot of the portion of the spreadsheet that helped you determine these values. How does your height compare to the mean (average) height of the 20 values? Is your height taller, shorter, or the same as the mean of the sample?
Note: The following image is just an example. They are NOT the values you should be using for your lab. Your instructor should have sent you our data values for your Week 5 Lab. Please reach out to your instructor if you do not have your data values.
Data Example of 10 people with different heights
(your spreadsheet will have 20 values—10 from your instructor and 10 from your own data gathering).
Step 2: Give some background information on the group of people you used in your study. You might consider using the following questions to guide your answer.
How did you choose the participants for your study? What was the sampling method: systematic, convenience, cluster, stratified, simple random?
What part of the country did your study take place in?
What are the age ranges of your participants?
How many of each gender did you have in your study?
What are other interesting factors about your group?
Step 3: Use the Week 5 Excel spreadsheet for the following.
(Use the Empirical Rule tab from the spreadsheet). Determine the 68%, 95%, and 99.7% values of the Empirical Rule in terms of the 20 heights in your height study.
What do these values tell you?
Post a screen shot of your work from the Week 5 Excel spreadsheet.
(Use the normal probability tab from the spreadsheet). Based on your study results, what percent of the study participants are shorter than you? What percent are taller than you?
Post a screen shot of your work from the Week 5 Excel spreadsheet.
Example: If my height is 73 inches, then 20.86% of the relevant population is shorter. The other 79.14%, of course, is taller.
Step 4: Be sure your name is on the Word document, save it, and then submit it under “Assignments” and “Week 5: Lab”.
Requirements
The deliverable is a Word document with your answers to the questions posed below based on the data you find.
Required Software
Microsoft Word
Microsoft Excel

Categories
Statistics

Use the Weeks 3 and 5 spreadsheets from the Weeks 3 and 5 Lessons to help you an

Use the Weeks 3 and 5 spreadsheets from the Weeks 3 and 5 Lessons to help you answer the questions below.
Step 1: Your instructor will provide you with 10 values to use for this lab.
Gather 10 MORE of your own to add to the 10 provided by your instructor. Do the following:
Survey or measure 10 people to find their heights. Determine the mean and standard deviation for the 20 values by using the Week 3 Excel spreadsheet. Post a screen shot of the portion of the spreadsheet that helped you determine these values. How does your height compare to the mean (average) height of the 20 values? Is your height taller, shorter, or the same as the mean of the sample?
Note: The following image is just an example. They are NOT the values you should be using for your lab. Your instructor should have sent you our data values for your Week 5 Lab. Please reach out to your instructor if you do not have your data values.
Data Example of 10 people with different heights
(your spreadsheet will have 20 values—10 from your instructor and 10 from your own data gathering).
Step 2: Give some background information on the group of people you used in your study. You might consider using the following questions to guide your answer.
How did you choose the participants for your study? What was the sampling method: systematic, convenience, cluster, stratified, simple random?
What part of the country did your study take place in?
What are the age ranges of your participants?
How many of each gender did you have in your study?
What are other interesting factors about your group?
Step 3: Use the Week 5 Excel spreadsheet for the following.
(Use the Empirical Rule tab from the spreadsheet). Determine the 68%, 95%, and 99.7% values of the Empirical Rule in terms of the 20 heights in your height study.
What do these values tell you?
Post a screen shot of your work from the Week 5 Excel spreadsheet.
(Use the normal probability tab from the spreadsheet). Based on your study results, what percent of the study participants are shorter than you? What percent are taller than you?
Post a screen shot of your work from the Week 5 Excel spreadsheet.
Example: If my height is 73 inches, then 20.86% of the relevant population is shorter. The other 79.14%, of course, is taller.
Step 4: Be sure your name is on the Word document, save it, and then submit it under “Assignments” and “Week 5: Lab”.
Requirements
The deliverable is a Word document with your answers to the questions posed below based on the data you find.
Required Software
Microsoft Word
Microsoft Excel

Categories
Statistics

Throughout this course, you’ll be learning statistical analysis concepts that ar

Throughout this course, you’ll be learning statistical analysis concepts that are critical to clinical research and professional practice. Each module discusses a different concept and how it relates to health-care settings or everyday life.
In Module 2, we are discussing Z-scores and the normal distribution.
Initial Post:
In your initial post, respond to the following:
Give an example of a variable that you use in your work or everyday life that you think could be portrayed using a normal distribution. (That is, if you graphed lots and lots of people’s scores on this variable, you think the scores would be normally distributed, with most scores in the middle and fewer scores at the high and low extremes. Please avoid using examples from the module introduction!) Do you think using Z-scores would be helpful when comparing a sample to the norm for this variable? Why or why not? Consider whether this would be theoretically helpful, as well as if you think it would work in practice.
*Note that this should be an example you create yourself, not one from the course materials or that you find online.

Categories
Statistics

Assignment Learning Outcomes 1. Create a codebook 2. Identify scales of measure

Assignment Learning Outcomes
1. Create a codebook
2. Identify scales of measurement for different variables
3. Generate relevant descriiptive statistics (i.e., tables, graphs, measures of central tendency and variability) using jamovi
4. Interpret descriiptive statistics, frequency distribution tables and graphs for a given dataset
This assignment has two sections:
(1) Applied conceptual questions
(2) Examine your data using jamovi and interpret the results
PART #1: Applied Conceptual Questions [6 marks total]
1. Why does the mean have the lowest value in a negatively skewed distribution? (1 mark)
2. The data for two research participants who completed a series of reaction time tests over several trials are summarized in the table below.
Participant A Participant B
Mean reaction time across trials (in seconds) 35 47
Standard deviation (in seconds) 1.75 4
Which participant appears to be more consistent in their reaction time on the task? What evidence did you use to draw this conclusion? (2 marks)
3. On an exam you obtain a score of X = 78. Which set of descriiptive statistics would you prefer the exam to have? Please explain the reasoning behind your choice (2 marks)
Option A  M = 72, s = 2
Option B  M = 72, s = 3
4. Using the same two options as in #3 above, and assuming that both distributions of exam scores were normally distributed, what proportion of scores on the exam would be beneath your score for each option? How do these proportions further support your response to question #3 above? (1 mark)
PART#2: Examine your data using jamovi and interpret the results [28 marks total]
Data can be found in the corresponding Excel file on eClass: Employee Survey.csv
This data set contains data from an Employee Survey used to measure employee engagement and job satisfaction of all employees at a local tech startup. For all employees, engagement and job satisfaction were measured in January and again in December. Engagement and job satisfaction scores (both at start and end of year) were calculated for each employee by averaging across multiple items of the questionnaire, which yielded continuous scores ranging from 0 to 20; scores were rounded to the nearest whole number for the final dataset. This year, the startup also wanted to track employees who were designated as “work from home” vs. “in office” to ultimately determine if there may be differences in engagement or job satisfaction across work locations. This information was recorded for each employee based on the nature of their job descriiptions. More details about the variables in this dataset are included below.
Variables
The dataset includes 200 cases and 6 variables:
 Employee ID
 Group (1 – work in office, 2 – work from home)
 Engage_Jan– Start of year engagement scores (continuous scores ranging from 0 – 20)
 JobSat_Jan – Start of year job satisfaction scores (continuous scores ranging from 0 – 20)
 Engage_Dec – End of year engagement scores (continuous scores ranging from 0 – 20)
JobSat_Dec – End of year job satisfaction scores (continuous scores ranging from 0 -20)
1. Present a descriiption of your variables: Provide a codebook in table format with the following four columns: (1) Variable name; (2) Variable descriiption; (3) Variable levels/values; and (4) scale of measurement (i.e., nominal, ordinal, interval, ratio). This should be able to fit on a single page and include sufficient information about each of the variables in your dataset for other researchers to understand your data. (9 marks)
2. Examine your data using jamovi: Produce appropriate descriiptive statistics, graphs and/or tables for your overall data from jamovi as appropriate for the variables in the data – examples of these are measures of central tendency and variability, frequency tables, histograms and/or bar charts. Be sure to only calculate the descriiptive statistics, graphs, and/or tables that are appropriate for your data and its characteristics. Include your output as your response to this question. (5 marks)

3. Interpret your variables’ distributions: Use the information from your descriiptive analysis from question #2 to give a detailed descriiption of each variable’s distribution of scores. Be sure to mention all relevant features of each variable that can be determined based on your full examination of the data. Provide a brief explanation of the statistical evidence that supports your summary of these characteristics as is relevant. Your response should not exceed one page in length.
(13 marks)
4) What is one possible research hypothesis that you could propose based on these data? (1 mark)

Categories
Statistics

This assignment will consist of a quantitative article critique with a focus on

This assignment will consist of a quantitative article critique with a focus on the methods, statistics, analysis and interpretation. It will be important to analyze and evaluate the article not just summarize – for example it is not enough to say the sample size was adequate. You should state the sample size and state why you know it was adequate.
Research Critique Introduction
I want to talk about the Research Statistical Critique assignment. You will choose one of the 4 (four)
articles provided on this assignment page. Do not submit your own article. You must use one of the 4
linked articles in the assignment directions.
You will use a rubric to critique the various parts of the study provided. It is your opinion. You should
not use any quotes, or references unless you use an outside source to substantiate your opinion, such as
Polit and Beck (2017). More information about the critique process can be found in Polit and Beck
(2017), p. 291 if you want more information about it.
Describe what you believe the findings are. For example, you would identify what sampling method is
used- probability vs non-probability sampling. Then you would identify the specific type of sampling
technique used.
Fill in the rubric- this will be faster for you and faster for the faculty to grade the assignment. Be sure to
check out the Critique FAQ for any questions students may have asked in the past.
Here are answers to questions students have asked about the Critique:
1. For our Quantitative Critique, is this supposed to be in paragraph/paper form? Or are we to fill out the rubric with our responses like the example does? Answer: Use the template/form that also is the grading rubric. Do NOT write in paragraph form.
2. When we are using the rubric table to enter our findings do we need to cite the article beside each set of answers or do we use citations only if we used another source to answer a question? The example didn’t list any citations or references so I just wanted to clarify. I am not using direct quotes but the answers do come from the research paper. Answer: When you complete the critique include the citation at the top of the page. Since a critique is by its very definition about a specific article, once you do that you have indicated where the information came from. Only if you use an outside reference to make a point (you don’t have to do this), do you need to reference any other document.
3. Do not use quotes in the critique; one of the important parts of this assignment is learning to synthesize the information and put it into your own words.
4. Use APA for the references- be sure to use 7th edition of APA. Here is a resource for you if you need help: Purdue Owl (Links to an external site.)
5. Do not double space in the table- it will be too large and cumbersome to use
Choose from the list of articles attached. DO NOT USE YOUR OWN ARTICLE. YOU MUST CHOOSE FROM THE ARTICLES BELOW:
1. 2020. Jokar et al. The Effects of Inhalation Lavender Aromatherapy on Postmenopausal depresion and anxiety. a randomized clinical trial..pdf
2. 2018 Comparing the Effects of Simulation-Based and Traditional Teaching Methods on the Critical Thinking Abilities and Self-Confidence of Nursing Students..pdf
3. 2015. Nantsupawat et al. Nurse Burnout, Nurse-Reported Quality of Care, and Patient Outcomes in Thai Hospitals.pdf
4. 2018 Ayik et al. The effects of preoperative aromatherapy on anxiety and sleep quality of colorectal surgery patients.pdf

Categories
Statistics

Assignment Learning Outcomes 1. Create a codebook 2. Identify scales of measure

Assignment Learning Outcomes
1. Create a codebook
2. Identify scales of measurement for different variables
3. Generate relevant descriiptive statistics (i.e., tables, graphs, measures of central tendency and variability) using jamovi
4. Interpret descriiptive statistics, frequency distribution tables and graphs for a given dataset
This assignment has two sections:
(1) Applied conceptual questions
(2) Examine your data using jamovi and interpret the results
PART #1: Applied Conceptual Questions [6 marks total]
1. Why does the mean have the lowest value in a negatively skewed distribution? (1 mark)
2. The data for two research participants who completed a series of reaction time tests over several trials are summarized in the table below.
Participant A Participant B
Mean reaction time across trials (in seconds) 35 47
Standard deviation (in seconds) 1.75 4
Which participant appears to be more consistent in their reaction time on the task? What evidence did you use to draw this conclusion? (2 marks)
3. On an exam you obtain a score of X = 78. Which set of descriiptive statistics would you prefer the exam to have? Please explain the reasoning behind your choice (2 marks)
Option A  M = 72, s = 2
Option B  M = 72, s = 3
4. Using the same two options as in #3 above, and assuming that both distributions of exam scores were normally distributed, what proportion of scores on the exam would be beneath your score for each option? How do these proportions further support your response to question #3 above? (1 mark)
PART#2: Examine your data using jamovi and interpret the results [28 marks total]
Data can be found in the corresponding Excel file on eClass: Employee Survey.csv
This data set contains data from an Employee Survey used to measure employee engagement and job satisfaction of all employees at a local tech startup. For all employees, engagement and job satisfaction were measured in January and again in December. Engagement and job satisfaction scores (both at start and end of year) were calculated for each employee by averaging across multiple items of the questionnaire, which yielded continuous scores ranging from 0 to 20; scores were rounded to the nearest whole number for the final dataset. This year, the startup also wanted to track employees who were designated as “work from home” vs. “in office” to ultimately determine if there may be differences in engagement or job satisfaction across work locations. This information was recorded for each employee based on the nature of their job descriiptions. More details about the variables in this dataset are included below.
Variables
The dataset includes 200 cases and 6 variables:
 Employee ID
 Group (1 – work in office, 2 – work from home)
 Engage_Jan– Start of year engagement scores (continuous scores ranging from 0 – 20)
 JobSat_Jan – Start of year job satisfaction scores (continuous scores ranging from 0 – 20)
 Engage_Dec – End of year engagement scores (continuous scores ranging from 0 – 20)
JobSat_Dec – End of year job satisfaction scores (continuous scores ranging from 0 -20)
1. Present a descriiption of your variables: Provide a codebook in table format with the following four columns: (1) Variable name; (2) Variable descriiption; (3) Variable levels/values; and (4) scale of measurement (i.e., nominal, ordinal, interval, ratio). This should be able to fit on a single page and include sufficient information about each of the variables in your dataset for other researchers to understand your data. (9 marks)
2. Examine your data using jamovi: Produce appropriate descriiptive statistics, graphs and/or tables for your overall data from jamovi as appropriate for the variables in the data – examples of these are measures of central tendency and variability, frequency tables, histograms and/or bar charts. Be sure to only calculate the descriiptive statistics, graphs, and/or tables that are appropriate for your data and its characteristics. Include your output as your response to this question. (5 marks)

3. Interpret your variables’ distributions: Use the information from your descriiptive analysis from question #2 to give a detailed descriiption of each variable’s distribution of scores. Be sure to mention all relevant features of each variable that can be determined based on your full examination of the data. Provide a brief explanation of the statistical evidence that supports your summary of these characteristics as is relevant. Your response should not exceed one page in length.
(13 marks)
4) What is one possible research hypothesis that you could propose based on these data? (1 mark)