Throughout this course, you have practiced various skills that will allow you to identify, procure, and manipulate biosurveillance and secondary data. As addressed in previous sections, public health information needs are constantly growing, and the statistical analysis of data is just one step in this process. Decisions based on this information would rely not only on the accuracy of your analysis but also on the organization of its presentation.

This week for your Scholar-Practitioner Project you will conduct descriptive and inferential analyses using your selected data set, your prepared database from Week 8, and SPSS.

To prepare:

• Review this week’s Learning Resources

By Day 7, submit interpretation for your statistical analysis based on your selected data set, your prepared database, and SPSS. Mark sure to perform the following tasks for each of your research questions separately:

• Provide interpretation for descriptive statistical analyses based on your SPSS output.
• Summarize the numerical results with descriptive analysis tables or graphs, including your interpretation.
• Provide interpretation of your inferential statistical analyses using SPSS outputs.
• Summarize the numerical results with inferential analysis tables or graphs, including your interpretation.
• Provide full answer and interpretation for each of your research question(s).

Support your analysis with the Learning Resources and current literature. Use APA formatting for your paper and to cite your resources.

## Expert Solution Preview

Introduction:

As a medical professor, it is important to teach students how to identify, procure, and manipulate biosurveillance and secondary data. Public health information needs are constantly expanding, and the accuracy of analysis and presentation of data is crucial for making informed decisions. This week, students are required to conduct descriptive and inferential analyses using their selected data sets, prepared database, and SPSS. They must provide a clear interpretation of their statistical analysis and summarize the numerical results with descriptive and inferential analysis tables or graphs.

For each research question, it is important to provide a clear and concise interpretation for both descriptive and inferential statistical analyses using SPSS output. Descriptive analysis provides numerical summaries of data, while inferential analysis tests hypotheses and determines relationships between variables.

Students must summarize the numerical results in descriptive analysis using tables or graphs, including their interpretation. For inferential analysis, students must summarize the numerical results in inferential analysis tables or graphs, along with their interpretation. It is crucial to follow APA guidelines, support analysis with learning resources and current literature, and use APA formatting for a well-written paper.

Overall, it is important for medical students to understand the significance of statistical analysis when dealing with public health information to make informed decisions.

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