by | Jun 23, 2022 | Statistics homework help
The manager of a fast-food store realizes that her staffing problems are a result of the variation in the number of customers that arrive at the store. If the same number of customers came each hour, she would know exactly how many servers to have working. It turns out that the Poisson distribution works well to describe the arrivals of customers in any given hour.
Explain why the manager has more trouble staffing the store during those hours when the average arrival rate is higher.
by | Jun 23, 2022 | Statistics homework help
Week 4 Assignment – Case Study: Transforming Data Into Information
Overview
The Woodmill Company makes windows and door trim products. The first step in the process is to rip dimension (2 × 8,2 × 10, etc.) lumber into narrower pieces. Currently, the company uses a manual process in which an experienced operator quickly looks at a board and determines what rip widths to use. The decision is based on the knots and defects in the wood.
A company in Oregon has developed an optical scanner that can be used to determine the rip widths. The scanner is programmed to recognize defects and to determine rip widths that will optimize the value of the board. A test run of 100 boards was put through the scanner and the rip widths were identified. However, the boards were not actually ripped. A lumber grader determined the resulting values for each of the 100 boards, assuming that the rips determined by the scanner had been made. Next, the same 100 boards were manually ripped using the normal process. The grader then determined the value for each board after the manual rip process was completed. The resulting data, in the file, Woodmill Data, consists of manual rip values and scanner rip values for each of the 100 boards.
Instructions
You are a process manager at the Woodmill Company tasked with determining if an optical scanner would be beneficial. Write a 4–5 page report to your supervisor (including a cover page and a Source List page) in which you:
Summarize the Woodmill Company’s problem of ripping dimension lumber into narrower pieces.
Develop a frequency distribution for the board values for the scanner and the manual process.
Generate appropriate descriptive statistics for both manual and scanner values.
Analyze the frequency distribution and descriptive statistics for both manual and scanner processes. Use Excel to create your charts.
Determine which process generates more values (manual or scanner).
Evaluate which process has less relative variability, using frequency distribution and descriptive statistics.
Recommend whether the optical scanner is the best option for the company.
Use two sources to support your writing. Choose sources that are credible, relevant, and appropriate. Cite each source listed on your source page at least one time within your assignment. For help with research, writing, and citation, access the library or review library guides.
by | Jun 23, 2022 | Statistics homework help
This assignment contains three (3) questions worth a total of 20 marks. There is some general advice on the assignment at the end of this document, on page 8.
The overall requirement for this assignment is to carry out and report on data analytics that address three questions about the data from the Framingham heart study.
You may know about this study from your general knowledge; it is one of the most famous studies in epidemiology. You can learn about the study from information on Wikipedia (https://en.wikipedia.org/wiki/Framingham_Heart_Study), but also through these references:
Levy, D., National Heart Lung and Blood Institute., et al. (1999). 50 years of discovery: medical milestones from the National Heart, Lung, and Blood Institute’s Framingham Heart Study. Hackensack, N.J., Center for Bio-Medical Communication Inc.
Mahmood, S. S., Levy, D., Vasan, R. S., & Wang, T. J. (2014). The Framingham Heart Study and the epidemiology of cardiovascular disease: a historical perspective. The Lancet, 383(9921), 999-1008.
Oppenheimer, G. M. (2005). Becoming the Framingham study 1947–1950. American Journal of Public Health, 95(4), 602-610.
You may also find your own useful references. You are not required to read these references for the purposes of the assignment.
The data file contains some information from long term follow up as well as baseline measures. The file contains records for 5,209 people – all the participants in the original cohort of the study. The participants were followed up every 2 years. The data file includes information from baseline, the 2nd examination (one variable), and the 16th examination (30 years after baseline).
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SRW
by | Jun 20, 2022 | Statistics homework help
For this discussion, you will obtain monitoring data analyzed within a Healthy People objective, and then interpret this information for its influence on the decision-making process.
Step 1—Healthy People Data Visualization: Visit the DATA2020 database for Healthy People (i.e., the Data Search tab on www.HealthyPeople.gov ). From the Topic Area drop-down menu, select any area of interest. Click the Search button to review search results. On the results page, scroll through the entries and select one (1) Healthy People Objective that has a View Chart button. This will open a new page that depicts a visual representation of this Healthy People objective’s data. Take a screenshot of this data visualization (you will insert this into your initial post).
Step 2—Public Health Research, Policy, or Practice: Use the Shapiro Library and identify a peer-reviewed journal article pertaining to the topic area you selected in Step 1. The article should be published in a public-health specific (i.e., nonmedical) journal and should involve research, policy, or practice within the topic area. Download the full text of this article and review it carefully.
Using the data visualization (from Step 1) and the journal article (from Step 2), please proceed with your initial discussion post.
In your discussion post, please address the following:
Part 1—Explanation of Topic Area and Data Visualization (100 words): First, summarize the topic area and indicate the selected Healthy People Objective. Interpret the findings/trends from the data visualization. Is progress being made towards the desired outcome? Please explain your rationale for interpreting the data in this manner. Include a screenshot of the visual with your submission.
Part 2—Summary of Journal Article (100 words): Discuss the public health research, policy, or practice and its relationship to the Healthy People Objective identified in Part 1.
Part 3—Connecting Data Trends and Decision Making (100 words): Imagine that you are a health professional who (co)authored the selected journal article. How would the Healthy People data visualization inform the decisions you make? What would you have done differently compared to the actual author(s)? Please explain your rationale and provide examples.
by | Jun 20, 2022 | Statistics homework help
Instructions
Download the assignment template from this week’s resources and complete the problems as listed. Show your work (either your hand calculations or your statistical program output). You can either scan your work and submit it as a low-resolution graphic, type your answers directly into the document or copy and paste your work into a Word file.
The completed assignment should address all of the assignment requirements, exhibit evidence of concept knowledge, and demonstrate thoughtful consideration of the content presented in the course.
by | May 15, 2022 | Statistics homework help
Part 1 – Read the attached document, you must respond to at least two other students (Steven + Dany) with substantive feedback. When providing feedback to others in this thread, let each other know whether or not you clearly understand the conclusions.
Part 2 – Statistical Analysis Final Thoughts Reflection
Describe what you consider is the most important thing you have learned and what you will take away from the course. For example, you may want to discuss your improved understanding of a particular statistical test that you think you will use in your future statistic analysis course or career. Or, you may want to discuss your improved understanding of statistics in general and how they are used to shape the way we think about data. Throw back to each week’s module that we have been going through this semester:
Research Design
Descriptive Statistics, Normal Distribution, and Standard Scores
Correlation and Regression
Hypothesis Testing Basics
t-Tests
Analysis of Variance
Chi-Square and Other Non-Parametric Tests
Selecting and Analyzing Data Sets for Research
Presenting Research Findings
