Pleas find in the enclosed folder the assignment requirements.
You are required to submit the document file (typed or handwritten) containing the solution via moodle by October 12th at 3:00 p.m. Show in all cases the formulas you used (do not merely copy the final result from your calculator, but show clearly how the result has been obtained).
Please note that if you take pictures of your handwritten notes, they must be submitted as a single pdf file, containing all the pages in order. The filename must contain the surname(s) of the author(s) of the assignment.
Please be advised that a cut-off time has been set for this assignment and late submissions will not be accepted/graded.
Category: Statistics
calculating the main data from the project comes from this article,
https://www.pewresearch.org/fact-tank/2022/10/05/more-americans-are-joining-the-cashless-economy/ I have completed questions 1 . there are links in the question to take you to the useable tool to get the answers. if not this site will help with the math involved and it does not need a login. https://www.utdanacenter.org/our-work/higher-education/curricular-resources-higher-education/dcmp-data-analysis-tools
1. Create Your Dataset:
o Select a Population of Interest: The possibilities are endless. You could study sports teams, countries/states/counties, musical artists/albums, political figures, celebrities, CEOs, streaming services, national parks, etc. So long as you can find a variety of information about each observation using the Internet, you can study it.
o If Needed, Choose a Sampling Method and Select a Sample: Be specific about your population and decide whether you can study the whole population or if you’ll need to draw a sample. For example, if you are only interested in studying NFL quarterbacks who played in a regular-season game during the 2021 season, you might be able to create a dataset with of the whole population. If however, you are interested in all NFL quarterbacks who have ever played, you’ll need a way of selecting a sample (e.g., random sampling).
o Choose Variables to Collect: Whatever you choose to study, you’ll collect a variety of pieces of data about each. For example, if you were composing a dataset of NFL quarterbacks, you could record a variety of continuous (e.g., annual salary, average passing yards) and categorical (e.g., whether they are right- or left-handed) variables about each quarterback. Think ahead about what type of analyses you’d like to be able to perform. For example, if you want to look for correlations, you’ll need continuous variables. If you want to compare groups, you’ll need categorical variables that can be used for grouping. Locate the data using the Internet and organize it into a dataset using Microsoft Excel.
o Create a Codebook: Following the instructions in the tutorial and using appropriate statistical vocabulary, create a codebook describing each variable in your dataset. Include this as an appendix in your final deliverable for reference.
o Save your Dataset: Remember, you can’t save multiple worksheets using the comma separated values (.csv) file format. As such, save your dataset as a .csv file and also save your codebook in a separate, Excel workbook. Include your dataset as an appendix in your final deliverable.
2. Perform the Analysis using JASP: You’ll need to include your full set of JASP outputs as an appendix for your final deliverable. Be sure to save all JASP outputs as you perform them.
o Descriptive Statistics: Fully analyze the descriptive properties of your dataset. Produce frequency/descriptive statistics for each variable and look at the shape/spread/skew of the data. Investigate possible outliers.
o Inferential Statistics: Chapter 16 of your textbook reviews how to select analyses appropriate to the variables and describe the results of those findings. Use that chapter to select analyses appropriate to your research questions and variables. Perform inferential analyses using JASP and interpret the p-values in light of your research question and/or predictions.
3. Prepare Your Report: Using Microsoft Word, create a report of your project that includes the following sections.
1. Introduction: Summarizes the scope and purpose of your project. Explain why you chose the project and what you hope to learn from the data you compiled. Be sure to specify your main research questions. Summarize and cite the article you selected for the Week 5 Deliverable and use it to contextualize your topic.
2. Description of Sample & Data: Describe the sample and/or population studied. In detail, explain the rationale and sampling method used to obtain the data. Using accurate statistical vocabulary, describe each variable studied and a rationale for why it was included. Include an APA-formatted in-text citation and reference for each source (e.g., website, agency) from which data was obtained.
3. Descriptive Analysis: Include a descriptive statistics section similar to the descriptive statistics report you prepared during Week 3 but also integrating more recent concepts (e.g., confidence intervals, boxplots/outliers). Provide both detailed verbal interpretations and data visualizations to familiarize your reader with the dataset.
4. Inferential Analysis: Include an inferential statistics section reporting interesting and/or significant findings from your data. For each inferential analysis you perform, include the following: your predictions/hypotheses and rationale for your predictions, a justification of the appropriateness of the statistical test based on the characteristics of the variables analyzed and research question being tested, specifics of the analysis performed and variables involved (e.g., which variables were treated as outcomes/predictors), and verbal interpretation of results including applicable statistics. If possible, also include a data visualization of your findings (e.g., bar graph, scatterplot).
5. Discussion: Conclude with a one- to two-paragraph summary of your project with a focus on the findings and their application. Consider possible implications (e.g., for personal decision making or policy) of your project. Remember, your job, as the statistician, is not just to state the statistical findings but to interpret them for your reader. Think critically, as a statistician, when offering interpretations for trends in your data.
6. References & Appendices: At the end of your deliverable, include APA-formatted references to all websites and other resources from which data were obtained as well as any articles referenced. Also, include an appendix section and include your codebook, dataset, and full JASP Outputs. Note, the instructor needs these materials to assess the accuracy of your statistical decision making and verbal interpretations.
Honestly, not sure what to categorize this assignment…but please look at the charts in order to answer the prompts. Thank you.
DRG= DIAGNGOSTIC RELATED GROUP
Please answer the following:
Primary Audience / Stakeholders: Provide some details about the audience that you would be targeting with these visualizations; make/state assumptions. Why would this primary audience/stakeholder(s) be interested in this information? What is the value (insights) derived from the vizzes/dashboard to your primary audience?
Current Storyline: Analyze the Discovery Module/Exercise four vizzes/dashboard created earlier; is there an underlying “storyline” to tell primary audience/stakeholders, why/not? Identify and describe changes that would improve alignment between the four vizzes and storyline for the primary audience/stakeholders. Make/state assumptions.
New/Expanded Story: Review and analyze the DRG dataset and data contained therein further. Could a more robust and/or cohesive storyline be created, how does the storyline/context then change? Describe the new storyline, key variables and any additional insights derived? Make/state assumptions.
New/Expanded Vizzes: Based upon the new/expanded storyline, key variables, and additional insights, identify and rationalize a small selection of new vizzes covered by this unit which can be applied to new storyline. Make/state assumptions.
I have to come up with a hypothesis in the format of the attached document. It has to be approved by the professor when I turn it in, or it is not acceptable as the final project hypothesis.
For Project 2, you will compose a written report based on research from published, peer-reviewed papers. You are free to choose any topic that relates to your field. You will choose two articles on the topic and review the findings and statistical analyses found in the papers. Read each paper in its entirety, but your focus for this paper should be on the statistical analyses done in each study.
Your paper should be a minimum of 500 words in length and follow APA writing guidelines.
Please get approval from your instructor before proceeding with a topic.
Structure your report as follows:
Introduce the topic and problem.
Summarize the studies and findings for each of the papers you reviewed.
Identify and explain the statistical tests done in each study. (Refer to course content — videos, readings, and textbook chapters — to help you identify statistical approaches).
Compare and contrast the statistical analysis done in each study. Identify similarities and differences. Explain why you think the approaches varied.
Requirements:
Include at least two high-quality, peer-reviewed studies.
Your paper should be betwebcien 500 and 750 words.
Follow APA guidelines
MLA Style and should be 3-10 pages excluding the works citbcied with 12 point double spaced lines
https://www.nytimes.com/interactive/2018/07/11/climate/summer-nights-warming-faster-than-days-dangerous.html
https://www.nytimes.com/2020/06/18/climate/summer-weather-prediction.html
MLA Style and should be 3-10 pages excluding the works citbcied with 12 point double spaced lines
https://www.nytimes.com/interactive/2018/07/11/climate/summer-nights-warming-faster-than-days-dangerous.html
https://www.nytimes.com/2020/06/18/climate/summer-weather-prediction.html
I want to make a comparison in the second report after we created the second model that we produced in August. I want to analyze each of the information and add tables and graphics. Please read the first report for your reference The change happened in August Note when submitting the copy, I also want an Excel Shebciet as order # 7764288
PROBLEM 1
A) The position of government agencies is that the number of robberies has increased. According to data compiled by the police, last year there was an average of 245 robberies. A sample of 100 days of the current year was selected and an average number of robberies of 250 with a standard deviation of 12 robberies was found.
1) Define the null and alternate hypotheses.
2) carry out a hypothesis test with a significance level of .01
B) In the attached Excel document, we have the closing prices of Hilton shares. In the first column, the prices of the first semester are identified and in the second; those of the second semester. With a significance level of 10%, carry out a hypothesis test to verify if there is a difference between the averages of both semesters. Use as criteria the P-Valbciue of the test,
**WORK IN EXCEL**