Description
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
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).
- Follow APA guidelines.
Support your analysis with the Learning Resources and current literature. Use APA formatting for your paper and to cite your resources.
References
Kamin, L. F. (2010). Using a five-step procedure for inferential statistical analyses. The American Biology Teacher, 72(3), 186–188.
Marshall, G., & Jonker, L. (2010a). A concise guide to descriptive statistics. Synergy, 22–25
McHugh, M. L. (2003a). Descriptive statistics, part I: Level of measurement. Journal for Specialists in Pediatric Nursing, 8(1), 35–37.
Silva-Ayçaguer, L. C., Suárez-Gil, P., & Fernández-Somoano, A. (2010). The null hypothesis significance test in health sciences research (1995–2006): Statistical analysis and interpretation. BMC Medical Research Methodology, 10(1), 44.
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Explanation & Answer
Attached.
Running head: INTERPRETING RESULTS
Interpreting Results
Student’s Name
Institutional Affiliation
1
INTERPRETING RESULTS
2
Interpreting Results
Interpreting results entail the justification of statistical findings in the process of
answering research questions and addressing hypothetical suppositions in a statistical research.
Research questions are answerable inquiry regarding a specific issue under statistical
investigations while hypothetical statements are supposition developed from the research
questions with minimal information thereby open for further investigation (Bell, Bryman &
Harley, 2018). The result interpretation will include both the descriptive and inferential statistical
obtained from SPSS for the scholar-practitioner project.
Research Questions
The study questions are
i.
Is the number of bedrooms dependent on the size of land occupied by a housing unit?
ii.
Is house heating fuel and the number of bedrooms statistically associated?
Hypotheses
Null Hypothesis
i.
The number of bedrooms is not statistically dependent on the size of land occupied by the
house.
ii.
House heating fuel is not statistically associated with the number of bedrooms in a
housing unit.
Descriptive Analysis
According to Marshall and Jonker (2010), descriptive statistics elaborates the basic
features revealed by data in a statistical investigation. The descriptive statistics will describe the
selected variables size of land, the number of bedrooms and the house heating fuel. The variable
reveals a nominal level of measurement. McHugh and Villarruel (2003) note that descriptive
INTERPRETING RESULTS
3
statistic for nominal variables include descriptions of the frequencies for each attribute in a
variable depicts as counts and percentages.
Descriptive results
Lot Size
Lot size
Frequency
N/A (GQ/not a one-family house
or mobile home)
House on less than one acre
Valid
House on one to less than ten
acres
House on ten or more acres
Total
Percent
Valid Percent
Cumulative Percent
1672
34.0
34.0
34.0
2849
58.0
58.0
92.1
360
7.3
7.3
99.4
30
.6
.6
100.0
4911
1...