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BSHS435 UOPX Descriptive & Inferential Statistics Applications Presentaion

BSHS435 UOPX Descriptive & Inferential Statistics Applications Presentaion

BSHS435 UOPX Descriptive & Inferential Statistics Applications Presentaion
Question Description
This is a team assignment. I am responsible for creating 4 powerpoint slides. Details are below. My portion is in bold – Inferential Statistics. Please note that our team data set is the Cardiology Categorical data set, please find in the link provided.
Create Microsoft® PowerPoint® presentation on descriptive and inferential statistics.
For the Powerpoint assignment due in week 5, you need to work with one of the datasets that can be found on this page:
http://mercury.webster.edu/aleshunas/Data%20Sets/S”¦
Learning Team: Team A – Cardiology Categorical dataset
Refer to this course’s reading material. Incorporate the following elements into your presentation:
Introduction
Introduce the Learning Team members and the data set that the team will present.
Identify the variables in the data set and discuss each variable’s level of measurement classification (nominal, ordinal, interval, or ratio).
Descriptive Statistics
Define descriptive statistics and discuss at least two examples of descriptive statistics.
Explain how descriptive statistical analysis increases understanding of the data
Conduct using Microsoft® Excel® functions at least two descriptive statistics using your data and summarize and interpret the results (you can include tables or graphs in your slides).
Explain why the two descriptive statistics you conducted are appropriate for the data.
Inferential Statistics – My portion 4 slides
Define statistical inference and include and explain at least two original statistical calculations.
Explain how inferential statistical analysis increases understanding of the data.
Conduct using Microsoft® Excel® functions at least two inferential statistics using your data and summarize and interpret the results.
Explain why the two descriptive statistics you conducted are appropriate for the data.

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