Category: Statistics

Instructions for Assignment 3
Please solve all four questions in Excel QM
You can choose either of the following two ways to upload the solution:
1. Copy the solution from Excel QM, paste it onto the assignment worksheet (attached), and upload the Word file to the blackboard.
2. Take a screenshot of the solution to each question and upload the PDF file of all the merged screenshots.
The rest of the details will be written inside the
assignment Please focus on it to get a full market 😍

Helping others through blood donation is a form of social solidarity or social responsibility. The blood donors cite a sense of social responsibility as their reason for donating blood, and as a result, the communities value and reward this activity. The following table shows the number of blood donors in a university from 2011–2023. Develop a 3-year moving average forecast and obtain the related statistical measures using excel QM.

You MUST be FAMILIAR to use Rstudio on Posit cloud. Finish the HW3(attached), I have already output the script( attached), use the HW3 script to finish the questions. read the requirements carefully, if it asked to ” find it on the output”, then you will need to circle the answer and write the question number on the output. Thank you.

Hi,
Please use R studio to complete this assignment, and upload a screenshot of the work where required.
Instructions are attached below as well as the spreadsheet with the data.
Thanks in advance for taking this assignment.

1st document: The Questions file contains the questions I got wrong. Use the attached zip folder to explain why I got the answer wrong and say which document you got it from. You have to use the attached documents in the zip to explain why I got the answer wrong and put what the correct answer is. The professor said “Take a screenshot of every question you have missed. Paste it to a word document. You may google or search YouTube if you do not know how to make a screenshot. Below each question explain why you now realize how you got the answer incorrect. Every question on the exam has an explanation on how it should be answered on the final exam discussion board or one of my exam keys provided with most homework assignments. ”
I also attached my exam discussion board.
2nd document: In order to receive credit for this discussion board you must carry-out an SPSS analysis, post it here and then interpret the findings. Or, you may also post two word problems with answers and explanation for credit (two word problems on the SAME post).
Put the 1st and 2nd documents in separate documents

Instructions
This Discussion Board requires you to answer four questions. For each question, do not simply provide an answer; make sure you explain how you arrived at that answer. Please see the corresponding grading rubric to see how each question is assessed.  This is an opportunity for you to show your knowledge and understanding of the weekly concepts.  You are strongly encouraged to respond to your classmates’ posts with positive and meaningful feedback and will receive up to one point extra credit per discussion board if you do so.  This is meant to be a place where we can learn from one another in an engaging and supportive way! 
Questions
1. ESP: For several years, the U.S. General Social Survey asked subjects, “How often have you felt as though you were felt you were in touch with or connected with someone when they were far away from you?”  Of 3887 sampled subjects who had an opinion, 1407 said never and 2480 said at least once.  
a. Describe the population of interest.
b. Calculate the descriptive statistics (sample proportions).
c. What is the population parameter we want to draw conclusions about (make an inference about)? 
2. Use critical thinking to develop an alternative conclusion. A study shows that the number of reported sexually transmitted diseases was significantly higher for high schools that offered courses in sex education than for high schools that did not. Conclusion: The introduction of sex education courses at the high school level has resulted in increased promiscuity among teens.  
3. An engineer is designing a machine to manufacture gloves and she obtains the following sample of hand lengths (mm) of randomly selected adult males based on data gathered:
173 179 207 158 196 195 214 199
a. Define this data set as discrete or continuous. 
b. Hand lengths are what type of level of measurement?  
c. Compare the mean and median for this data set and if you can draw any conclusions from these values. 
4. Explain the difference between stratified and cluster sampling.  Why do you think that cluster sampling is frequently used in practice? 
Grading
This discussion is worth 4 points and your post (with optional reply or replies) are due on Sunday. For more specifics on how this will be graded, refer to the rubric. 

I will attach the instructios for this assignment I will also add the link to the Excel sheet in the chat. Thank you!!!

Overview
The Quantitative Research Project is a three-part research and analysis paper based on a sample dataset provided to you. You will present a research question related to a dataset, explore variables that relate to this research question, analyze the data using descriptive and inferential statistics, describe your results, and discuss your findings, limitations, implications, and possibilities for future research.
For this Performance Task Assessment, you will write Part 1 of your Project, which will focus on data collection and management. In the following Competencies, you will develop Parts 2 and 3, in which you will analyze and interpret the data.
Submission Length: 2–3 pages representing Part 1 of a Quantitative Research Project research and analysis paper.
Professional Skills: Written Communication, Interpreting Data and Quantitative Fluency, and Technology are assessed in this Competency.
Instructions
Access the following to complete this Assessment: 
Quantitative Research Project Worksheet [Word document]
Note: As you enter information in the Worksheet, save it. You will continue using the Worksheet in Competencies PS002 and PS003.
Consider the three datasets below and select one.
(See Quantitative Research Project Worksheet for additional details.) 
Diebold Dataset and Codebook
Diebold Dataset [Excel Worksheet]
Diebold Dataset Codebook [Word document]
School Survey on Crime and Safety Dataset and Codebooks
School Survey on Crime and Safety Dataset [Excel Worksheet]
School Survey on Crime and Safety Codebook [Word document]
School Survey on Crime and Safety Questionnaire Codebook [PDF]
Fictional Working Sample Dataset and Codebook – ATTACHED
Fictional Working Sample Dataset [Excel Worksheet]
Fictional Working Sample Codebook [Word document]
Quantitative Research Project
Click the item below for more information on this Assessment.
Part 1: Data Collection and Management
For this Performance Task Assessment, you will work with a given dataset, developing research question(s) and a plan for cleaning the existing data in order to answer your questions.
To prepare for your Performance Task Assessment:
Follow the steps in the PS001 section of the Quantitative Research Project Worksheet to select your dataset and variables, generate research questions, and clean the data. Take notes as needed.
To complete this Performance Task Assessment:
Write a 2- to 3-page paper that creates a narrative based on the Worksheet. Include the following:
Introduction
Identify the dataset you chose to work with and explain how it could contribute to research in your field or discipline. Note: if using one of the fictionalized datasets, some degree of conjecture is allowed.
Choose either the comparative or relational research question that you developed in your Worksheet to use for your Quantitative Research Project. Present your research question.
Method
Describe the participants represented in the dataset.
Identify the variables you chose to answer your selected comparative or relational research question and describe the scales of measurement for each variable.
Describe any quantitative instruments used to measure the variables.
Describe procedures you used to select, clean, and manage variables from your dataset. Describe how histograms could be useful in data cleaning.
Identify and justify an appropriate research design that aligns with your research question.
Identify the statistical assumptions (e. g., normality, independence, homogeneity of variance that should be considered for each variable that you selected.
Be specific, provide examples, and justify your response with citations from the resources in your Learning Activities or from your search from the literature.

please see pictures for the questions and the format on how to do this assignment . Below each question explain why you now realize how you got the answer incorrect. Every question on the exam has an explanation on how it should be answered on the final exam discussion board or one of my exam keys provided with most homework assignments. Here is an example of how you need to format this homework
I got the question above wrong. I found the answer by looking at the linear regression exam key. Here is what I found. “First, figure out what the IDVs are or is. Remember IDVs cause changes in the DV. A variable or variables that “predict” another variable would most likely be the IDV or IDVs. Something that is being predicted would be classified as the DV. Now we need to figure out the level of measurement for the IDV/s and DV. Whenever you see the word scale, your variable or variables are quantitative. Whenever you see on “on a scale from 1 to 10” the variable is quantitative. In this example, you have several quantitative IDVs predicting one quantitative DV. The linear regression is the only analysis we learned about that fits this description.”
The two IDVs found on the exam question are described as being measured on a 10 point scale. The professor stated that these variables were to be considered quantitative. Two quantitative variables predicting a quantitative variable means that this analysis should be a linear regression. The second question I got wrong on the exam is below. I found the correct answer for this question by reviewing the final exam discussion board post on Factorial ANOVA. I copied the below from the final exam discussion board. “-A researcher is interested in knowing if type of diet plan and exercise level by group has an impact on weight loss percent. What type of analysis is should the researcher perform.
Twoway ANOVA. I know this because diet plan and exercise level are implied to have an impact on weight loss. The text in bold helps me determine that these are categorical variables.
–A researcher is interested in knowing if type of diet plan (fast, keto, or pesco) and exercise level (intense or low impact) has an impact on weight loss percent. What type of analysis is should the researcher perform?
3 * 2 ANOVA. I know this because the number of groups for each IDV is provided in the word problem!”
I was instructed to give the best answer. The example is almost identical to the exam question. I should have answered 2*3 ANOVA. ++++
You should get the idea. Follow my example for each question you got wrong find the correct answer by looking at the exam discussion board or exam keys provided with the homework. Copy and paste the portion of the final exam discussion board or exam key that helped you find the answer. There will be a link on Canvas to submit your extra credit. You will have to until December 16th to complete your extra credit and increase your final course grade!

For this course project we had to compare the means of two different populations. I chose to do the resident and transient orca populations and compare their length means. below i will include the instructuions to the assigments I will also include the files of the data sets and the previous assigments done that the information is supposed to be used from. I will also include two refrences that i have used already. 
In the course project, you will create a research question, write down the research question in the form of a hypothesis, and statistically test the hypothesis using a method covered in this course. Therefore, it is essential to obtain an appropriate data set (of continuous variables) for analysis.
My research question is: Does the mean of the lengths of Transient orca population differ from the mean lengths of the Resident orca population.
Instructions: 
Topic selection and literature review (Week 1)
State the topic. Explain the rationale for the topic selection using support from your reference material(s).
At least one relevant literature source is referenced in the narrative. All reference(s) including the data source are cited in APA format.
Research Question and Descriptive Statistics (Week 2)
The research question is clearly stated. 
Include information regarding the source of data and method of data collection, including the area, date, variable(s), experimental/survey setting, and method of measurements.
Report the descriptive statistics, including sample size, mean, standard deviation, and five number summary  
Include an appropriately labeled graph (histogram).
Confidence interval(s) of the selected variable (Week 3) 
Report the confidence interval of the variable(s) and interpret it properly.
Hypothesis test and the conclusion of the study (Week 4)
Describe the null and alternative hypotheses in words and symbols.
Clearly report the results of the hypothesis test, including selected significance level and the distribution, test statistic, p-value, and decision to reject or fail to reject the null hypothesis.
The conclusions of the study are stated and they follow the results of the hypothesis test.
Week 2: Data and research question
In Week 2, you will finalize the research question and select a data set, which should align with your research question. You will then summarize the data visually and numerically. Refer to “Data and research question” below in selecting a data set and formulating a research question. You will complete these tasks by using an accompanied project worksheet (Project deliverable 2: Data and research question). Be sure to find a citation for your data set. 
Week 3: Confidence interval
In Week 3, you will calculate the confidence interval of the project data set and interpret the interval in words. You will complete these tasks by using an accompanied project worksheet (Project deliverable 3: Confidence interval). 
Week 4: Hypothesis test
In Week 4, you will conduct a hypothesis test using the project data set. It involves stating your research question as a hypothesis in words and symbols, selecting a significance level and probability distribution, calculating the test statistic and p-value, and stating a conclusion of the study. You will complete these tasks by using an accompanied project worksheet (Project deliverable 4: Hypothesis test). 
Week 5: Report 
In Week 5, you will create a report which summarizes all aspects of the project. 
Report: The project report is a compilation of the information from project deliverables 1 to 4.  The deliverable for this final assignment is a report, not a resubmission of your previously submitted deliverables. You must take the information from your worksheet deliverables and create a new report document from them. Your report should include (in this order):
Topic selection and literature review (Week 1)
Descriptive statistics and graphs of the data set (Week 2)
Confidence interval(s) of the selected variable (Week 3) 
Hypothesis test and the conclusion of the study (Week 4)
If you have received any feedback from the instructor to make corrections, it should be addressed in the course report. The expected size of the report is a minimum two pages not including references and graphic elements.
Refrences: 
Periodic status review for the killer whale – WDFW. (n.d.). https://wdfw.wa.gov/sites/default/files/publications/01773/wdfw01773.pdf 
https://wdfw.wa.gov/sites/default/files/publications/01773/wdfw01773.pdf
I have also included an example that the proffessor provided us with.