Statistics homework help

 

Your quest to purchase a new car begins with an identification of the factors important to you. As you conduct a search of cars that rate high on those factors, you collect evidence and try to understand the extent of that evidence. A report that suggests a certain make and model of automobile has high mileage is encouraging. But who produced that report? How valid is it? How was the data collected, and what was the sample size?

In this Assignment, you will delve deeper into clinical inquiry by closely examining your PICO(T) question. You also begin to analyze the evidence you have collected.

To Prepare:

  • Review the Resources and identify a clinical issue of interest that can form the basis of a clinical inquiry.
  • Develop a PICO(T) question to address the clinical issue of interest you identified in Module 2 for the Assignment. This PICOT question will remain the same for the entire course.
  • Use the key words from the PICO(T) question you developed and search at least four different databases in the Walden Library. Identify at least four relevant systematic reviews or other filtered high-level evidence, which includes meta-analyses, critically-appraised topics (evidence syntheses), critically-appraised individual articles (article synopses). The evidence will not necessarily address all the elements of your PICO(T) question, so select the most important concepts to search and find the best evidence available.
  • Reflect on the process of creating a PICO(T) question and searching for peer-reviewed research.

The Assignment (Evidence-Based Project)

Part 2: Advanced Levels of Clinical Inquiry and Systematic Reviews

Create a 6- to 7-slide PowerPoint presentation in which you do the following:

  • Identify and briefly describe your chosen clinical issue of interest.
  • Describe how you developed a PICO(T) question focused on your chosen clinical issue of interest.
  • Identify the four research databases that you used to conduct your search for the peer-reviewed articles you selected.
  • Provide APA citations of the four relevant peer-reviewed articles at the systematic-reviews level related to your research question. If there are no systematic review level articles or meta-analysis on your topic, then use the highest level of evidence peer reviewed article.
  • Describe the levels of evidence in each of the four peer-reviewed articles you selected, including an explanation of the strengths of using systematic reviews for clinical research. Be specific and provide examples.

 

Scenario

You are a data analyst for a basketball team. You have found a large set of historical data, and are working to analyze and find patterns in the data set. The coach of the team and your management have requested that you use descriptive statistics and data visualization techniques to study distributions of key variables associated with the performance of different teams. Data-driven analytics will help the management make decisions to further improve your team’s performance. You will use the Python programming language to perform your statistical analysis. You will also need to present a report of your findings to the team’s management. Since the managers are not data analysts, you will need to interpret your findings and describe their practical implications. The managers will use your report to find areas where the team can improve its performance.

Reference

FiveThirtyEight. (April 26, 2019). FiveThirtyEight NBA Elo dataset. Kaggle. Retrieved from https://www.kaggle.com/fivethirtyeight/fivethirtyeight-nba-elo-dataset/

Directions

For this project, you will submit the Python script you used to make your calculations and a summary report explaining your findings.

  1. Python      Script: To complete the tasks listed below, open the Project One      Jupyter Notebook link in the Assignment Information module. Your project      contains the NBA data set and a Jupyter Notebook with your Python scripts.      In the notebook, you will find step-by-step instructions and code blocks      that will help you complete the following tasks:
    • Choose       and create a data visualization.
    • Calculate descriptive       statistics including mean, median, min, max, variance, and       standard deviation.
    • Construct confidence       intervals for a population proportion and a population mean.
  2. Summary      Report: Once you have completed all the steps in your Python script,      you will create a summary report to present your findings. Use the      provided template to create your report. You must complete each of      the following sections:
    • Introduction:       Set the context for your scenario and the analyses you will be       performing.
    • Data       Visualization: Identify and interpret your chosen data visualization.
    • Descriptive       Statistics: Identify and interpret measures of central tendency and       variability.
    • Confidence       Intervals: Identify and interpret the lower and upper limits of       confidence intervals.

    Conclusion: Summarize your findings and explain their practical implications

 
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