Category: Statistics

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.

Instructions Lab 1
This Lab 1 consists of 15 multiple-choice questions that will ask you to apply practices covered by the assigned lab activities. To be successful with Lab 1, it’s important to thoroughly read and work through assigned activities for Lab 1. It will also be beneficial to review the lab session recording

The files you need to complete the assignment are attached below. It requires you to use measurement and statistical packages (e.g., SPSS, GENOVA, and/or calculator) to complete the exam. 

1. The term statistics elicits a wide range of responses among anyone who hears it, many of which are either wrong or partially correct.
Taking into consideration your previous experience along with this week’s readings and videos, how has your perception of statistics changed?
Using either your current role or a previous organizational role, describe an issue from your experience that may have resulted from misunderstanding or misusing descriptive statistics.
2
Complete Exercises 6, 7, and 8, on page 115 of Green and Salkind (2017).
In a separate Word document, develop an APA formatted deliverable that presents the results of Michelle’s research question.
Homework responses should include information regarding:Any survey item(s) that had responses recoded
Mean Attitudinal scores for Republican and Democrat respondents
APA formatted boxplot that represents Total Attitudinal scores by political affiliation
Turn in your SPSS output file as a separate PDF document.
There is a 200 word limit with a 50-word buffer for this assignment. Submissions that surpass the limit and buffer will be subject to a two-point (8%) penalty.

https://www.statcrunch.com/app/index.html?dataid=4375823# – website for Freshman
_15
Background
Many college students are familiar with the term “Freshman 15” which is referring to the average 15-pound (6.8 Kg) weight gain that students my incur during their first year in college.  The reasons students may gain weight will vary.  Certainly, a change in eating habits, lack of exercise, long hours of studying and being sedentary, stress and anxiety are just a few examples of what can cause weight gain.  For this activity, you will use a dataset to evaluate before and after weights for both males and females by conducting summary statistics, graphing your data, and drawing some overall conclusions based on your analysis.   
Instructions
Part I:
Conduct this activity in MyLab by Pearson
Summary Statistics: 
Select “Content” from the Brightspace Navigation toolbar.  
Select “MyLab Statistics” from the “Content” menu.
Click on the “MTH 210 StatCrunch” tab
Click on “Open Link”
Select the “StatCrunch Website”
Under the Data Column > select “Data Sets”
Search for the data set “Freshman_15” and select the data 
Analyze your data using the Stat pull-down menu:
Stat> Summary Stats> Columns
Click “WT SEPT” to move to the right panel
In “Group by”, select “Sex” from drop down menu
Select “Compute!” At the bottom right.
Copy and paste your results into a word document
Repeat the steps above just selecting for b. “WT APRIL” and copy and paste your results into the same word document. 
Graphs:  
You may choose histograms (1) or boxplots (2) to represent your data.  If you choose histograms, you will create 4 graphs: WT SEPT Female, WT SEPT Male, WT APRIL Female and WT APRIL Male. 
If you choose boxplots, both genders can be represented in the same display for a total of 2 graphs for both months. 
Histograms (4 graphs total)
Graph > Histogram
Click “WT SEPT” to move to the right panel (repeat all steps again for “WT APRIL”)
In “Group by”, select “Sex” from drop down menu 
Select markers (mean and median)
Select “Compute” At the bottom right.
Copy and paste your graphs into a word document (there will be one for F and one for M as you arrow over in your results)
Boxplots (2 graphs total)
Graph>Boxplots
Click “WT SEPT” to move to the right panel (repeat all steps again for “WT APRIL”)
In “Group by”, select “Sex” from drop down menu
Select markers (mean and median)
Hit Compute! At the bottom right. 
Part II: Interpretation and Conclusions
Answer the following questions in the submission box below:
Use your knowledge from Module 1 to discuss the following: 
How did the average weights change from September to April for males and for females?
Look at the median.  Was there a significant shift between the months for males and females?
Describe the shape of the distributions of the graphs for both genders.  Were there any potential outliers causing skewness in the data for either month?
Give your overall conclusions based on your analytical results.  In this dataset, does it appear that gaining 15 lbs (6.8 Kg) on average is accurate over this time frame (a statistically significant change)? Explain. 
Additional Resources
MyMathLab: Video & Resource Library > StatCrunch Tutorial Videos (Computing summary statistics, Creating histograms and Creating boxplots) 

Take a screenshot of the solution to each question and upload the PDF file of all the merged screenshots.

The subject is actually economitrics, so you should combine statistics things and economic things.
This project is a critique of this semester’s paper. The critique will be based on one main point. It means that, although you may know several things that are wrong with the paper, your project will discuss only one. Of course, choose the best one you can. You introduce the point which will be the basis of your critique. You have to explain what your point is, then you have to provide evidence for this point, and finally you have to describe the consequences for the results of overlooking your critique point. For example, if you are defending that there is an omitted variable, you must explain what is the consequence of this omission: is the bias positive or negative? What is the consequence of this for society? Finally, you must have a conclusion. Don’t forget the bibliography, if applicable. It must follow a standard academic style. Any style is fine, as long as it is the same for all entries. Turabian (also known as Chicago style) is a good choice, very well accepted in Social Sciences.
The critique point must be specific. Is it omitted variable bias? Then you must defend that 1 specific variable was omitted. Which is it? Is it measurement error? Then which variable has measurement error? Is it sample selection? Then are you concerned with selection in which specific way? You must provide evidence, and you can go as far as you want there. You can use pure logic, you can use newspaper sources. However, the best evidence comes from actual research papers. If you want to really impress, you can bring outside datasets. There is no limit to the creativity you can put into the evidence for your point. Moreover, if you can solve the problem, then you should. It is not necessary to do this, but it certainly increases the level of impressiveness of your project to a whole new level.
The project has strict formatting rules. The paper cannot have more than 8 pages counting everything (except the cover page). It must be written in single-space, Times New Roman font size 12. The document must leave 1 inch of space in all margins, no more, no less. Pages must be numbered. Include a cover page with your name, student ID, and class time. Here are some guidelines (not obligatory) to help you write the paper: a typical critique has a 2 page long introduction, then the critique itself is introduced briefly in about half a page. The body of the critique is very free, and the conclusion is usually at most one page long.
The project is graded based on many things. First, the introduction where you summarize the paper. There we are looking for an excellent understanding of what truly matters in this paper. The words about which you should think are conciseness, precision, and readability.
The body of the paper is, of course, the most important part. We are looking for a good critique point, which is defended using excellent evidence. The critique must clearly delineate what are the consequences of the problem you are raising. We reward creativity very highly. You can defend the same critique point as many of your colleagues, but then you are in direct comparison with them. If you choose an unexplored critique point, you will be evaluated on your own, which is a good thing. Moreover, when we see a novel critique point, we imagine that you thought about, but rejected, several more common ideas. Hence, we will reward you directly. We also reward the quality of the evidence. Not all evidence has the same strength and reliability. It goes like this: straight from data¿¿research papers¿¿online verifiable journalistic sources¿¿logical argument. This is not written in stone, but it’s a decent guideline. We reward effort and creativity involved in choosing, searching, and using the evidence. We also reward the strength of your whole argument. Is it easy to understand? Are you convincing?
You can make up for things. For example, you may not be defending the most creative critique point, but you can make up for it with a brilliant evidence source, or even (wow!) a direct solution. Additionally, this is an essay, so your language counts a lot. We establish just a few points for style and grammar, but don’t underestimate the power of a well written piece. An argument that develops fluidly, a paper that is not boring, a paragraph that is so well structured that the mind just cruises through it, all of those end up reflecting in your final grade. We punish pretty severely when your arguments are not clear, when we have to re-read things many times to get the point. I do not need an introduction paragraph, so please go directly to the critique part.

I have uploaded the Rubric/Guidelines, Module Overview, Reading and resources, and chapters from the textbook.